Turn a data frame into a ts in R - r

I want to turn a list data structure into a double data structure:
Starting list data from my CSV.
> my_data = read.csv("time series test.csv", header = TRUE)
> my_data
Date Value
1 1/1/2014 123.0000
2 1/2/2014 128.5693
3 1/3/2014 129.1474
4 1/4/2014 130.1361
5 1/5/2014 137.9758
6 1/6/2014 141.0548
7 1/7/2014 141.3517
8 1/8/2014 142.1449
9 1/9/2014 142.1479
10 1/10/2014 149.8912
Example double:
> nottem
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
1920 40.6 40.8 44.4 46.7 54.1 58.5 57.7 56.4 54.3 50.5 42.9 39.8
1921 44.2 39.8 45.1 47.0 54.1 58.7 66.3 59.9 57.0 54.2 39.7 42.8
1922 37.5 38.7 39.5 42.1 55.7 57.8 56.8 54.3 54.3 47.1 41.8 41.7
1923 41.8 40.1 42.9 45.8 49.2 52.7 64.2 59.6 54.4 49.2 36.3 37.6
1924 39.3 37.5 38.3 45.5 53.2 57.7 60.8 58.2 56.4 49.8 44.4 43.6
1925 40.0 40.5 40.8 45.1 53.8 59.4 63.5 61.0 53.0 50.0 38.1 36.3
1926 39.2 43.4 43.4 48.9 50.6 56.8 62.5 62.0 57.5 46.7 41.6 39.8
1927 39.4 38.5 45.3 47.1 51.7 55.0 60.4 60.5 54.7 50.3 42.3 35.2
1928 40.8 41.1 42.8 47.3 50.9 56.4 62.2 60.5 55.4 50.2 43.0 37.3
1929 34.8 31.3 41.0 43.9 53.1 56.9 62.5 60.3 59.8 49.2 42.9 41.9
1930 41.6 37.1 41.2 46.9 51.2 60.4 60.1 61.6 57.0 50.9 43.0 38.8
1931 37.1 38.4 38.4 46.5 53.5 58.4 60.6 58.2 53.8 46.6 45.5 40.6
1932 42.4 38.4 40.3 44.6 50.9 57.0 62.1 63.5 56.3 47.3 43.6 41.8
1933 36.2 39.3 44.5 48.7 54.2 60.8 65.5 64.9 60.1 50.2 42.1 35.8
1934 39.4 38.2 40.4 46.9 53.4 59.6 66.5 60.4 59.2 51.2 42.8 45.8
1935 40.0 42.6 43.5 47.1 50.0 60.5 64.6 64.0 56.8 48.6 44.2 36.4
1936 37.3 35.0 44.0 43.9 52.7 58.6 60.0 61.1 58.1 49.6 41.6 41.3
1937 40.8 41.0 38.4 47.4 54.1 58.6 61.4 61.8 56.3 50.9 41.4 37.1
1938 42.1 41.2 47.3 46.6 52.4 59.0 59.6 60.4 57.0 50.7 47.8 39.2
1939 39.4 40.9 42.4 47.8 52.4 58.0 60.7 61.8 58.2 46.7 46.6 37.8
So how do I turn my_data into the same structure as nottem, so I can use it with STL()? plot(stl(nottem, "per"))


You can use the ts function. c(2014,1) is January 2014.
myts <- ts(my_data[,2], start = c(2014,1), frequency = 12)

Related

Show only the legend of the selected elements when downloading the png of a plotly chart

I have a line chart in plotly with multiple lines and I would like to download a png of the chart from the button:
I would like that only the legend of the selected items is shown in the download instead of all of them.
This is my code:
chart2 <- plot_ly(x = Dates, y =IP, type = 'scatter', mode = 'lines', name = "", line = list(color = ) ) %>%
add_trace(y = CG, name = "A", line = list(color = )) %>%
add_trace(y = MC, name = "B", line = list(color = ), visible="legendonly") %>%
add_trace(y = MF, name = "C", line = list(color = ), visible="legendonly") %>%
add_trace(y = MM, name = "D", line = list(color = ), visible="legendonly") %>%
add_trace(y = MV, name = "E", line = list(color = ), visible="legendonly") %>%
add_trace(y = MO, name = "F", line = list(color = ),visible="legendonly") %>%
add_trace(y = OM, name = "G", line = list(color = ), visible="legendonly") %>%
add_trace(y = RI, name = "H", line = list(color = ), visible="legendonly")
chart2 %>%
config(toImageButtonOptions = list(
format= 'png', filename= '',
height= 340,
width= 377,
scale= 1),
modeBarButtonsToRemove = list('autoScale', 'select2d', 'lasso2d'), displaylogo = FALSE) %>%
layout(legend = list(x = 0.2, y= 2.1, xanchor = "center", orientation = 'h', tracegroupgap = 0, font = list(size = 9)))
Some series of data are the following:
[1] 92.1 93.2 93.6 94.7 96.0 94.7 95.8 95.9 96.0 96.2 97.1 97.8 96.9 97.3 96.8 95.9 96.2 96.2 94.4 96.8 95.5 94.2 93.5 94.2 94.2 94.5 95.3 95.1 95.5 95.9 95.2
[32] 95.6 95.9 95.3 95.9 94.4 96.0 96.1 95.4 95.8 94.2 94.2 95.8 94.7 94.4 96.8 96.5 96.8 96.7 97.2 96.9 97.8 97.8 97.8 98.7 96.6 98.1 98.6 97.5 97.5 98.3 98.1
[63] 98.0 99.4 98.1 99.0 99.5 98.3 99.7 99.9 101.6 100.5 101.2 101.2 102.0 102.3 103.8 103.7 103.5 103.8 103.9 103.6 104.6 106.2 105.6 106.3 106.9 105.4 107.3 107.4 107.6 108.4 107.9
[94] 108.7 108.1 108.5 109.5 109.3 108.8 110.1 106.9 107.0 106.1 105.6 104.8 102.3 98.5 94.9 91.0 89.0 87.8 86.6 88.7 89.2 89.4 89.5 91.6 91.3 91.5 91.5 93.1 92.6 94.3 94.7
[125] 96.5 96.6 96.2 97.0 97.2 98.0 98.9 99.6 99.1 100.1 100.2 99.8 100.4 99.0 100.0 100.1 99.1 98.8 99.1 98.5 97.7 98.4 98.2 97.4 98.3 97.4 97.7 98.4 96.6 95.8 95.1
[156] 95.6 95.2 95.3 96.4 96.6 96.8 96.8 96.0 96.4 96.6 96.1 97.4 97.2 96.9 97.6 97.0 98.6 97.8 97.3 98.1 96.4 97.4 97.1 96.8 98.2 97.6 100.3 100.4 99.4 100.2 100.4
[187] 100.9 99.7 100.3 100.8 99.9 100.1 102.7 101.1 100.6 101.6 100.2 101.2 101.1 101.2 101.4 102.9 102.6 102.5 101.9 102.7 102.4 103.2 103.6 103.2 104.7 105.5 104.9 105.9 107.8 108.1 105.8
[218] 105.0 105.2 104.9 106.3 106.0 104.6 106.2 105.3 106.2 104.3 104.6 105.6 105.5 105.5 105.0 105.4 104.5 103.9 104.4 104.5 105.0 103.8 101.8 104.2 104.0 92.6 75.1 85.3 93.8 97.8 98.3
[249] 98.9 101.3 105.4 104.3 105.8 104.2 105.0 106.2 103.8 104.0 106.1 103.3 102.6 101.7 104.5 105.9 105.0 105.6 103.8 103.9 105.0 106.2 103.8
[1] 60.4 61.3 60.4 64.3 67.2 67.3 69.6 70.5 68.1 72.2 70.1 68.4 68.9 74.7 68.1 66.1 64.0 61.8 57.7 58.5 59.6 55.5 55.7 57.1 52.4 54.6 56.8 54.2 54.3 56.0 55.7
[32] 56.8 57.3 55.1 56.4 54.4 56.6 56.5 55.3 58.3 58.2 57.6 59.0 56.6 57.1 61.2 59.3 61.0 59.9 60.1 60.8 60.1 61.4 67.3 64.0 61.6 62.5 63.9 62.8 69.2 65.4 65.4
[63] 64.2 65.5 64.1 63.8 64.7 66.4 67.2 67.1 68.3 67.6 69.6 68.4 68.9 70.5 70.0 72.9 72.5 74.1 72.9 72.9 73.6 75.4 74.3 74.2 73.6 75.6 77.8 76.2 77.0 78.9 78.9
[94] 79.4 79.0 77.7 80.4 81.2 80.3 79.5 78.7 78.0 78.1 77.7 78.5 77.5 75.3 72.1 65.3 65.8 65.1 62.8 64.2 60.9 59.4 57.9 56.5 57.2 61.5 59.3 59.1 60.8 62.6 63.0
[125] 62.3 62.6 63.0 64.2 63.1 64.4 65.7 65.5 65.6 65.4 63.2 64.0 63.7 63.0 63.9 64.6 63.5 62.8 63.7 62.9 65.5 64.0 64.2 63.3 64.8 64.1 64.8 65.0 62.0 61.8 60.8
[156] 59.9 60.2 61.1 65.5 61.3 62.1 62.5 60.7 60.5 61.0 59.0 60.5 63.1 59.2 60.3 61.0 60.2 60.6 62.5 62.2 62.8 63.6 60.6 60.1 65.4 93.5 109.5 101.5 99.0 102.7 98.6
[187] 99.9 110.1 96.3 95.8 97.2 96.0 116.2 91.2 95.0 97.2 99.6 99.8 99.8 95.1 99.6 111.3 99.8 98.7 100.5 107.3 96.8 105.7 102.0 87.5 106.2 102.6 103.9 107.6 124.7 112.8 106.7
[218] 100.9 89.0 101.6 116.7 98.4 102.8 108.8 106.2 103.8 104.2 102.1 104.9 103.7 104.4 106.4 99.9 89.1 101.5 105.9 113.8 116.7 109.9 104.8 112.4 94.8 106.7 99.8 97.3 92.0 109.7 103.1
[249] 100.6 103.8 158.0 145.8 157.6 161.9 126.4 148.6 133.6 102.5 129.5 128.9 126.3 117.6 123.0 133.9 126.2 126.1 126.6 115.6 122.7 125.9 112.8
What can I do?

Use aggregate to create a barplot

The dataset called bodyfat.csv, I attached the data set in plain text for your reference.
After reading in bodyfat.csv data file, I generated a variable "bodycat" to categorize "bodyfat" into the three categories "athlete", "average", or "obese". (Athlete, less than 14%, Average, 14-25%, Obese, greater than 25%).
Then I use Using summary to identify the four height quartiles, create a new variable "htcat" to categorize height into "short", "below average", "above average", and "tall".
Now I want to use aggregate(weight ~ bodycat * htcat, .. ) to create a barplot of the average weight for each height and body category.
bodydata <- read.csv("bodyfat.csv",header=T)
bodycat <- c()
bodycat[bodydata$bodyfat<14]<-"Athlete"
bodycat[bodydata$bodyfat>=14 & bodydata$bodyfat<25]<-"Average"
bodycat[bodydata$bodyfat>=25]<-"Obese"
bodydata <-cbind(bodydata,bodycat)
summary(bodydata)
summary(bodydata$height)
htcat <- c()
htcat[bodydata$height>=29.50 & bodydata$height<68.25]<-"short"
htcat[bodydata$height>=68.25 & bodydata$height<70.00]<-"below average"
htcat[bodydata$height>=70.00 & bodydata$height<72.25]<-"above average"
htcat[bodydata$height>=72.25 & bodydata$height<77.75]<-"tall"
bodydata <-cbind(bodydata,htcat)
avgweightpercat<-aggregate(weight~bodycat*htcat, data=bodydata, FUN = mean)
barplot(avgweightpercat$weight, ylab = "Average weight", names.arg = (avgweightpercat$bodycat)*(avgweightpercat$htcat), col = "red", main = "Average weight per bodycat and htcat")
I got this plot and received an error:
Warning message:
In Ops.factor((avgweightpercat$bodycat), (avgweightpercat$htcat)) :
‘*’ not meaningful for factors
What did I do wrong? How you do it in this case?
bodyfat.csv in plain text
id bodyfat density age weight height adiposity neck chest abdomen hip thigh knee ankle bicep forearm wrist
1 12.6 1.0708 23 154.25 67.75 23.7 36.2 93.1 85.2 94.5 59 37.3 21.9 32 27.4 17.1
2 6.9 1.0853 22 173.25 72.25 23.4 38.5 93.6 83 98.7 58.7 37.3 23.4 30.5 28.9 18.2
3 24.6 1.0414 22 154 66.25 24.7 34 95.8 87.9 99.2 59.6 38.9 24 28.8 25.2 16.6
4 10.9 1.0751 26 184.75 72.25 24.9 37.4 101.8 86.4 101.2 60.1 37.3 22.8 32.4 29.4 18.2
5 27.8 1.034 24 184.25 71.25 25.6 34.4 97.3 100 101.9 63.2 42.2 24 32.2 27.7 17.7
6 20.6 1.0502 24 210.25 74.75 26.5 39 104.5 94.4 107.8 66 42 25.6 35.7 30.6 18.8
7 19 1.0549 26 181 69.75 26.2 36.4 105.1 90.7 100.3 58.4 38.3 22.9 31.9 27.8 17.7
8 12.8 1.0704 25 176 72.5 23.6 37.8 99.6 88.5 97.1 60 39.4 23.2 30.5 29 18.8
9 5.1 1.09 25 191 74 24.6 38.1 100.9 82.5 99.9 62.9 38.3 23.8 35.9 31.1 18.2
10 12 1.0722 23 198.25 73.5 25.8 42.1 99.6 88.6 104.1 63.1 41.7 25 35.6 30 19.2
11 7.5 1.083 26 186.25 74.5 23.6 38.5 101.5 83.6 98.2 59.7 39.7 25.2 32.8 29.4 18.5
12 8.5 1.0812 27 216 76 26.3 39.4 103.6 90.9 107.7 66.2 39.2 25.9 37.2 30.2 19
13 20.5 1.0513 32 180.5 69.5 26.3 38.4 102 91.6 103.9 63.4 38.3 21.5 32.5 28.6 17.7
14 20.8 1.0505 30 205.25 71.25 28.5 39.4 104.1 101.8 108.6 66 41.5 23.7 36.9 31.6 18.8
15 21.7 1.0484 35 187.75 69.5 27.4 40.5 101.3 96.4 100.1 69 39 23.1 36.1 30.5 18.2
16 20.5 1.0512 35 162.75 66 26.3 36.4 99.1 92.8 99.2 63.1 38.7 21.7 31.1 26.4 16.9
17 28.1 1.0333 34 195.75 71 27.3 38.9 101.9 96.4 105.2 64.8 40.8 23.1 36.2 30.8 17.3
18 22.4 1.0468 32 209.25 71 29.2 42.1 107.6 97.5 107 66.9 40 24.4 38.2 31.6 19.3
19 16.1 1.0622 28 183.75 67.75 28.2 38 106.8 89.6 102.4 64.2 38.7 22.9 37.2 30.5 18.5
20 16.5 1.061 33 211.75 73.5 27.6 40 106.2 100.5 109 65.8 40.6 24 37.1 30.1 18.2
21 19 1.0551 28 179 68 27.3 39.1 103.3 95.9 104.9 63.5 38 22.1 32.5 30.3 18.4
22 15.3 1.064 28 200.5 69.75 29.1 41.3 111.4 98.8 104.8 63.4 40.6 24.6 33 32.8 19.9
23 15.7 1.0631 31 140.25 68.25 21.2 33.9 86 76.4 94.6 57.4 35.3 22.2 27.9 25.9 16.7
24 17.6 1.0584 32 148.75 70 21.4 35.5 86.7 80 93.4 54.9 36.2 22.1 29.8 26.7 17.1
25 14.2 1.0668 28 151.25 67.75 23.2 34.5 90.2 76.3 95.8 58.4 35.5 22.9 31.1 28 17.6
26 4.6 1.0911 27 159.25 71.5 21.9 35.7 89.6 79.7 96.5 55 36.7 22.5 29.9 28.2 17.7
27 8.5 1.0811 34 131.5 67.5 20.3 36.2 88.6 74.6 85.3 51.7 34.7 21.4 28.7 27 16.5
28 22.4 1.0468 31 148 67.5 22.9 38.8 97.4 88.7 94.7 57.5 36 21 29.2 26.6 17
29 4.7 1.091 27 133.25 64.75 22.4 36.4 93.5 73.9 88.5 50.1 34.5 21.3 30.5 27.9 17.2
30 9.4 1.079 29 160.75 69 23.8 36.7 97.4 83.5 98.7 58.9 35.3 22.6 30.1 26.7 17.6
31 12.3 1.0716 32 182 73.75 23.6 38.7 100.5 88.7 99.8 57.5 38.7 33.9 32.5 27.7 18.4
32 6.5 1.0862 29 160.25 71.25 22.2 37.3 93.5 84.5 100.6 58.5 38.8 21.5 30.1 26.4 17.9
33 13.4 1.0719 27 168 71.25 23.3 38.1 93 79.1 94.5 57.3 36.2 24.5 29 30 18.8
34 20.9 1.0502 41 218.5 71 30.5 39.8 111.7 100.5 108.3 67.1 44.2 25.2 37.5 31.5 18.7
35 31.1 1.0263 41 247.25 73.5 32.2 42.1 117 115.6 116.1 71.2 43.3 26.3 37.3 31.7 19.7
36 38.2 1.0101 49 191.75 65 32 38.4 118.5 113.1 113.8 61.9 38.3 21.9 32 29.8 17
37 23.6 1.0438 40 202.25 70 29.1 38.5 106.5 100.9 106.2 63.5 39.9 22.6 35.1 30.6 19
38 27.5 1.0346 50 196.75 68.25 29.7 42.1 105.6 98.8 104.8 66 41.5 24.7 33.2 30.5 19.4
39 33.8 1.0202 46 363.15 72.25 48.9 51.2 136.2 148.1 147.7 87.3 49.1 29.6 45 29 21.4
40 31.3 1.0258 50 203 67 31.8 40.2 114.8 108.1 102.5 61.3 41.1 24.7 34.1 31 18.3
41 33.1 1.0217 45 262.75 68.75 39.1 43.2 128.3 126.2 125.6 72.5 39.6 26.6 36.4 32.7 21.4
42 31.7 1.025 44 205 29.5 29.9 36.6 106 104.3 115.5 70.6 42.5 23.7 33.6 28.7 17.4
43 30.4 1.0279 48 217 70 31.2 37.3 113.3 111.2 114.1 67.7 40.9 25 36.7 29.8 18.4
44 30.8 1.0269 41 212 71.5 29.2 41.5 106.6 104.3 106 65 40.2 23 35.8 31.5 18.8
45 8.4 1.0814 39 125.25 68 19.1 31.5 85.1 76 88.2 50 34.7 21 26.1 23.1 16.1
46 14.1 1.067 43 164.25 73.25 21.3 35.7 96.6 81.5 97.2 58.4 38.2 23.4 29.7 27.4 18.3
47 11.2 1.0742 40 133.5 67.5 20.6 33.6 88.2 73.7 88.5 53.3 34.5 22.5 27.9 26.2 17.3
48 6.4 1.0665 39 148.5 71.25 20.6 34.6 89.8 79.5 92.7 52.7 37.5 21.9 28.8 26.8 17.9
49 13.4 1.0678 45 135.75 68.5 20.4 32.8 92.3 83.4 90.4 52 35.8 20.6 28.8 25.5 16.3
50 5 1.0903 47 127.5 66.75 20.2 34 83.4 70.4 87.2 50.6 34.4 21.9 26.8 25.8 16.8
51 10.7 1.0756 47 158.25 72.25 21.3 34.9 90.2 86.7 98.3 52.6 37.2 22.4 26 25.8 17.3
52 7.4 1.084 40 139.25 69 20.6 34.3 89.2 77.9 91 51.4 34.9 21 26.7 26.1 17.2
53 8.7 1.0807 51 137.25 67.75 21.1 36.5 89.7 82 89.1 49.3 33.7 21.4 29.6 26 16.9
54 7.1 1.0848 49 152.75 73.5 19.9 35.1 93.3 79.6 91.6 52.6 37.6 22.6 38.5 27.4 18.5
55 4.9 1.0906 42 136.25 67.5 21.1 37.8 87.6 77.6 88.6 51.9 34.9 22.5 27.7 27.5 18.5
56 22.2 1.0473 54 198 72 26.9 39.9 107.6 100 99.6 57.2 38 22 35.9 30.2 18.9
57 20.1 1.0524 58 181.5 68 27.6 39.1 100 99.8 102.5 62.1 39.6 22.5 33.1 28.3 18.5
58 27.1 1.0356 62 201.25 69.5 29.3 40.5 111.5 104.2 105.8 61.8 39.8 22.7 37.7 30.9 19.2
59 30.4 1.028 54 202.5 70.75 28.4 40.5 115.4 105.3 97 59.1 38 22.5 31.6 28.8 18.2
60 24 1.043 61 179.75 65.75 29.2 38.4 104.8 98.3 99.6 60.6 37.7 22.9 34.5 29.6 18.5
61 25.4 1.0396 62 216 73.25 28.2 41.4 112.3 104.8 103.1 61.6 40.9 23.1 36.2 31.8 20.2
62 28.8 1.0317 56 178.75 68.5 26.8 35.6 102.9 94.7 100.8 60.9 38 22.1 32.5 29.8 18.3
63 29.6 1.0298 54 193.25 70.25 27.6 38 107.6 102.4 99.4 61 39.4 23.6 32.7 29.9 19.1
64 25.1 1.0403 61 178 67 27.9 37.4 105.3 99.7 99.7 60.8 40.1 22.7 33.6 29 18.8
65 31 1.0264 57 205.5 70 29.5 40.1 105.3 105.5 108.3 65 41.2 24.7 35.3 31.1 18.4
66 28.9 1.0313 55 183.5 67.5 28.3 40.9 103 100.3 104.2 64.8 40.2 22.7 34.8 30.1 18.7
67 21.1 1.0499 54 151.5 70.75 21.3 35.6 90 83.9 93.9 55 36.1 21.7 29.6 27.4 17.4
68 14 1.0673 55 154.75 71.5 21.3 36.9 95.4 86.6 91.8 54.3 35.4 21.5 32.8 27.4 18.7
69 7.1 1.0847 54 155.25 69.25 22.8 37.5 89.3 78.4 96.1 56 37.4 22.4 32.6 28.1 18.1
70 13.2 1.0693 55 156.75 71.5 21.6 36.3 94.4 84.6 94.3 51.2 37.4 21.6 27.3 27.1 17.3
71 23.7 1.0439 62 167.5 71.5 23.1 35.5 97.6 91.5 98.5 56.6 38.6 22.4 31.5 27.3 18.6
72 9.4 1.0788 55 146.75 68.75 21.9 38.7 88.5 82.8 95.5 58.9 37.6 21.6 30.3 27.3 18.3
73 9.1 1.0796 56 160.75 73.75 20.8 36.4 93.6 82.9 96.3 52.9 37.5 23.1 29.7 27.3 18.2
74 13.7 1.068 55 125 64 21.5 33.2 87.7 76 88.6 50.9 35.4 19.1 29.3 25.7 16.9
75 12 1.072 61 143 65.75 23.3 36.5 93.4 83.3 93 55.5 35.2 20.9 29.4 27 16.8
76 18.3 1.0666 61 148.25 67.5 22.9 36 91.6 81.8 94.8 54.5 37 21.4 29.3 27 18.3
77 9.2 1.079 57 162.5 69.5 23.7 38.7 91.6 78.8 94.3 56.7 39.7 24.2 30.2 29.2 18.1
78 21.7 1.0483 69 177.75 68.5 26.7 38.7 102 95 98.3 55 38.3 21.8 30.8 25.7 18.8
79 21.1 1.0498 81 161.25 70.25 23 37.8 96.4 95.4 99.3 53.5 37.5 21.5 31.4 26.8 18.3
80 18.6 1.056 66 171.25 69.25 25.1 37.4 102.7 98.6 100.2 56.5 39.3 22.7 30.3 28.7 19
81 30.2 1.0283 67 163.75 67.75 25.1 38.4 97.7 95.8 97.1 54.8 38.2 23.7 29.4 27.2 19
82 26 1.0382 64 150.25 67.25 23.4 38.1 97.1 89 96.9 54.8 38 22 29.9 25.2 17.7
83 18.2 1.0568 64 190.25 72.75 25.3 39.3 103.1 97.8 99.6 58.9 39 23 34.3 29.6 19
84 26.2 1.0377 70 170.75 70 24.5 38.7 101.8 94.9 95 56 36.5 24.1 31.2 27.3 19.2
85 26.1 1.0378 72 168 69.25 24.7 38.5 101.4 99.8 96.2 56.3 36.6 22 29.7 26.3 18
86 25.8 1.0386 67 167 67.5 26 36.5 98.9 89.7 96.2 54.7 37.8 33.7 32.4 27.7 18.2
87 15 1.0648 72 157.75 67.25 24.6 37.7 97.5 88.1 96.9 57.2 37.7 21.8 32.6 28 18.8
88 22.6 1.0462 64 160 65.75 26 36.5 104.3 90.9 93.8 57.8 39.5 23.3 29.2 28.4 18.1
89 8.8 1.08 46 176.75 72.5 23.7 38 97.3 86 99.3 61 38.4 23.8 30.2 29.3 18.8
90 14.3 1.0666 48 176 73 23.3 36.7 96.7 86.5 98.3 60.4 39.9 24.4 28.8 29.6 18.7
91 20.2 1.052 46 177 70 25.4 37.2 99.7 95.6 102.2 58.3 38.2 22.5 29.1 27.7 17.7
92 18.1 1.0573 44 179.75 69.5 26.2 39.2 101.9 93.2 100.6 58.9 39.7 23.1 31.4 28.4 18.8
93 9.2 1.0795 47 165.25 70.5 23.4 37.5 97.2 83.1 95.4 56.9 38.3 22.1 30.1 28.2 18.4
94 24.2 1.0424 46 192.5 71.75 26.3 38 106.6 97.5 100.6 58.9 40.5 24.5 33.3 29.6 19.1
95 9.6 1.0785 47 184.25 74.5 23.4 37.3 99.6 88.8 101.4 57.4 39.6 24.6 30.3 27.9 17.8
96 17.3 1.0991 53 224.5 77.75 26.1 41.1 113.2 99.2 107.5 61.7 42.3 23.2 32.9 30.8 20.4
97 10.1 1.077 38 188.75 73.25 24.8 37.5 99.1 91.6 102.4 60.6 39.4 22.9 31.6 30.1 18.5
98 11.1 1.073 50 162.5 66.5 25.9 38.7 99.4 86.7 96.2 62.1 39.3 23.3 30.6 27.8 18.2
99 17.7 1.0582 46 156.5 68.25 23.7 35.9 95.1 88.2 92.8 54.7 37.3 21.9 31.6 27.5 18.2
100 21.7 1.0484 47 197 72 26.7 40 107.5 94 103.7 62.7 39 22.3 35.3 30.9 18.3
101 20.8 1.0506 49 198.5 73.5 25.9 40.1 106.5 95 101.7 59 39.4 22.3 32.2 31 18.6
102 20.1 1.0524 48 173.75 72 23.6 37 99.1 92 98.3 59.3 38.4 22.4 27.9 26.2 17
103 19.8 1.053 41 172.75 71.25 24 36.3 96.7 89.2 98.3 60 38.4 23.2 31 29.2 18.4
104 21.9 1.048 49 196.75 73.75 25.5 40.7 103.5 95.5 101.6 59.1 39.8 25.4 31 30.3 19.7
105 24.7 1.0412 43 177 69.25 26 39.6 104 98.6 99.5 59.5 36.1 22 30.1 27.2 17.7
106 17.8 1.0578 43 165.5 68.5 24.8 31.1 93.1 87.3 96.6 54.7 39 24.8 31 29.4 18.8
107 19.1 1.0547 43 200.25 73.5 26 38.6 105.2 102.8 103.6 61.2 39.3 23.5 30.5 28.5 18.1
108 18.2 1.0569 52 203.25 74.25 26 42 110 101.6 100.7 55.8 38.7 23.4 35.1 29.6 19.1
109 17.2 1.0593 43 194 75.5 24 38.5 110.1 88.7 102.1 57.5 40 24.8 35.1 30.7 19.2
110 21 1.05 40 168.5 69.25 24.7 34.2 97.8 92.3 100.6 57.5 36.8 22.8 32.1 26 17.3
111 19.5 1.0538 43 170.75 68.5 25.6 37.2 96.3 90.6 99.3 61.9 38 22.3 33.3 28.2 18.1
112 27.1 1.0355 43 183.25 70 26.3 37.1 108 105 103 63.7 40 23.6 33.5 27.8 17.4
113 21.6 1.0486 47 178.25 70 25.6 40.2 99.7 95 98.6 62.3 38.1 23.9 35.3 31.1 19.8
114 20.9 1.0503 42 163 70.25 23.3 35.3 93.5 89.6 99.8 61.5 37.8 21.9 30.7 27.6 17.4
115 25.9 1.0384 48 175.25 71.75 24 38 100.7 92.4 97.5 59.3 38.1 21.8 31.8 27.3 17.5
116 16.7 1.0607 40 158 69.25 23.4 36.3 97 86.6 92.6 55.9 36.3 22.1 29.8 26.3 17.3
117 19.8 1.0529 48 177.25 72.75 23.6 36.8 96 90 99.7 58.8 38.4 22.8 29.9 28 18.1
118 14.1 1.0671 51 179 72 24.3 41 99.2 90 96.4 56.8 38.8 23.3 33.4 29.8 19.5
119 25.1 1.0404 40 191 74 24.6 38.3 95.4 92.4 104.3 64.6 41.1 24.8 33.6 29.5 18.5
120 17.9 1.0575 44 187.5 72.25 25.3 38 101.8 87.5 101 58.5 39.2 24.5 32.1 28.6 18
121 27 1.0358 52 206.5 74.5 26.2 40.8 104.3 99.2 104.1 58.5 39.3 24.6 33.9 31.2 19.5
122 24.6 1.0414 44 185.25 71.5 25.5 39.5 99.2 98.1 101.4 57.1 40.5 23.2 33 29.6 18.4
123 14.8 1.0652 40 160.25 68.75 23.9 36.9 99.3 83.3 97.5 60.5 38.7 22.6 34.4 28 17.6
124 16 1.0623 47 151.5 66.75 23.9 36.9 94 86.1 95.2 58.1 36.5 22.1 30.6 27.5 17.6
125 14 1.0674 50 161 66.5 25.6 37.7 98.9 84.1 94 58.5 36.6 23.5 34.4 29.2 18
126 17.4 1.0587 46 167 67 26.2 36.6 101 89.9 100 60.7 36 21.9 35.6 30.2 17.6
127 26.4 1.0373 42 177.5 68.75 26.4 38.9 98.7 92.1 98.5 60.7 36.8 22.2 33.8 30.3 17.2
128 17.4 1.059 43 152.25 67.75 23.4 37.5 95.9 78 93.2 53.5 35.8 20.8 33.9 28.2 17.4
129 20.4 1.0515 40 192.25 73.25 25.2 39.8 103.9 93.5 99.5 61.7 39 21.8 33.3 29.6 18.1
130 15 1.0648 42 165.25 69.75 23.9 38.3 96.2 87 97.8 57.4 36.9 22.2 31.6 27.8 17.7
131 18 1.0575 49 171.75 71.5 23.7 35.5 97.8 90.1 95.8 57 38.7 23.2 27.5 26.5 17.6
132 22.2 1.0472 40 171.25 70.5 24.3 36.3 94.6 90.3 99.1 60.3 38.5 23 31.2 28.4 17.1
133 23.1 1.0452 47 197 73.25 25.8 37.8 103.6 99.8 103.2 61.2 38.1 22.6 33.5 28.6 17.9
134 25.3 1.0398 50 157 66.75 24.8 37.8 100.4 89.4 92.3 56.1 35.6 20.5 33.6 29.3 17.3
135 23.8 1.0435 41 168.25 69.5 24.5 36.5 98.4 87.2 98.4 56 36.9 23 34 29.8 18.1
136 26.3 1.0374 44 186 69.75 26.8 37.8 104.6 101.1 102.1 58.9 37.9 22.7 30.9 28.8 17.6
137 21.4 1.0491 39 166.75 70.75 23.5 37 92.9 86.1 95.6 58.8 36.1 22.4 32.7 28.3 17.1
138 28.4 1.0325 43 187.75 74 24.1 37.7 97.8 98.6 100.6 63.6 39.2 23.8 34.3 28.4 17.7
139 21.8 1.0481 40 168.25 71.25 23.3 34.3 98.3 88.5 98.3 58.1 38.4 22.5 31.7 27.4 17.6
140 20.1 1.0522 49 212.75 75 26.6 40.8 104.7 106.6 107.7 66.5 42.5 24.5 35.5 29.8 18.7
141 24.3 1.0422 40 176.75 71 24.6 37.4 98.6 93.1 101.6 59.1 39.6 21.6 30.8 27.9 16.6
142 18.1 1.0571 40 173.25 69.5 25.3 36.5 99.5 93 99.3 60.4 38.2 22 32 28.5 17.8
143 22.7 1.0459 52 167 67.75 25.6 37.5 102.7 91 98.9 57.1 36.7 22.3 31.6 27.5 17.9
144 9.9 1.0775 23 159.75 72.25 21.6 35.5 92.1 77.1 93.9 56.1 36.1 22.7 30.5 27.2 18.2
145 10.8 1.0754 23 188.15 77.5 22.1 38 96.6 85.3 102.5 59.1 37.6 23.2 31.8 29.7 18.3
146 14.4 1.0664 24 156 70.75 21.9 35.7 92.7 81.9 95.3 56.4 36.5 22 33.5 28.3 17.3
147 19 1.055 24 208.5 72.75 27.7 39.2 102 99.1 110.1 71.2 43.5 25.2 36.1 30.3 18.7
148 28.6 1.0322 25 206.5 69.75 29.8 40.9 110.9 100.5 106.2 68.4 40.8 24.6 33.3 29.7 18.4
149 6.1 1.0873 25 143.75 72.5 19.3 35.2 92.3 76.5 92.1 51.9 35.7 22 25.8 25.2 16.9
150 24.5 1.0416 26 223 70.25 31.8 40.6 114.1 106.8 113.9 67.6 42.7 24.7 36 30.4 18.4
151 9.9 1.0776 26 152.25 69 22.5 35.4 92.9 77.6 93.5 56.9 35.9 20.4 31.6 29 17.8
152 19.1 1.0542 26 241.75 74.5 30.7 41.8 108.3 102.9 114.4 72.9 43.5 25.1 38.5 33.8 19.6
153 10.6 1.0758 27 146 72.25 19.7 34.1 88.5 72.8 91.1 53.6 36.8 23.8 27.8 26.3 17.4
154 16.5 1.061 27 156.75 67.25 24.4 37.9 94 88.2 95.2 56.8 37.4 22.8 30.6 28.3 17.9
155 20.5 1.051 27 200.25 73.5 26.1 38.2 101.1 100.1 105 62.1 40 24.9 33.7 29.2 19.4
156 17.2 1.0594 28 171.5 75.25 21.6 35.6 92.1 83.5 98.3 57.3 37.8 21.7 32.2 27.7 17.7
157 30.1 1.0287 28 205.75 69 30.4 38.5 105.6 105 106.4 68.6 40 25.2 35.2 30.7 19.1
158 10.5 1.0761 28 182.5 72.25 24.6 37 98.5 90.8 102.5 60.8 38.5 25 31.6 28 18.6
159 12.8 1.0704 30 136.5 68.75 20.3 35.9 88.7 76.6 89.8 50.1 34.8 21.8 27 34.9 16.9
160 22 1.0477 31 177.25 71.5 24.4 36.2 101.1 92.4 99.3 59.4 39 24.6 30.1 28.2 18.2
161 9.9 1.0775 31 151.25 72.25 20.4 35 94 81.2 91.5 52.5 36.6 21 27 26.3 16.5
162 14.8 1.0653 33 196 73 25.9 38.5 103.8 95.6 105.1 61.4 40.6 25 31.3 29.2 19.1
163 13.3 1.069 33 184.25 68.75 24.4 40.7 98.9 92.1 103.5 64 37.3 23.5 33.5 30.6 19.7
164 15.2 1.0644 34 140 70.5 19.8 36 89.2 83.4 89.6 52.4 35.6 20.4 28.3 26.2 16.5
165 26.5 1.037 34 218.75 72 29.7 39.5 111.4 106 108.8 63.8 42 23.4 34 31.2 18.5
166 19 1.0549 35 217 73.75 28.1 40.5 107.5 95.1 104.5 64.8 41.3 25.6 36.4 33.7 19.4
167 21.4 1.0492 35 166.25 68 25.3 38.5 99.1 90.4 95.6 55.5 34.2 21.9 30.2 28.7 17.7
168 20 1.0525 35 224.75 72.25 30.3 43.9 108.2 100.4 106.8 63.3 41.7 24.6 37.2 33.1 19.8
169 34.7 1.018 35 228.25 69.5 33.3 40.4 114.9 115.9 111.9 74.4 40.6 24 36.1 31.8 18.8
170 16.5 1.061 35 172.75 69.5 25.2 37.6 99.1 90.8 98.1 60.1 39.1 23.4 32.5 29.8 17.4
171 4.1 1.0926 35 152.25 67.75 23.4 37 92.2 81.9 92.8 54.7 36.2 22.1 30.4 27.4 17.7
172 1.9 1.0983 35 125.75 65.5 20.6 34 90.8 75 89.2 50 34.8 22 24.8 25.9 16.9
173 20.2 1.0521 35 177.25 71 24.8 38.4 100.5 90.3 98.7 57.8 37.3 22.4 31 28.7 17.7
174 16.8 1.0603 36 176.25 71.5 24.3 38.7 98.2 90.3 99.9 59.2 37.7 21.5 32.4 28.4 17.8
175 24.6 1.0414 36 226.75 71.75 31 41.5 115.3 108.8 114.4 69.2 42.4 24 35.4 21 20.1
176 10.4 1.0763 37 145.25 69.25 21.3 36 96.8 79.4 89.2 50.3 34.8 22.2 31 26.9 16.9
177 13.4 1.0689 37 151 67 23.7 35.3 92.6 83.2 96.4 60 38.1 22 31.5 26.6 16.7
178 28.8 1.0316 37 241.25 71.5 33.2 42.1 119.2 110.3 113.9 69.8 42.6 24.8 34.4 29.5 18.4
179 22 1.0477 38 187.25 69.25 27.5 38 102.7 92.7 101.9 64.7 39.5 24.7 34.8 30.3 18.1
180 16.8 1.0603 39 234.75 74.5 29.8 42.8 109.5 104.5 109.9 69.5 43.1 25.8 39.1 32.5 19.9
181 25.8 1.0387 39 219.25 74.25 28 40 108.5 104.6 109.8 68.1 42.8 24.1 35.6 29 19
182 0 1.1089 40 118.5 68 18.1 33.8 79.3 69.4 85 47.2 33.5 20.2 27.7 24.6 16.5
183 11.9 1.0725 40 145.75 67.25 22.7 35.5 95.5 83.6 91.6 54.1 36.2 21.8 31.4 28.3 17.2
184 12.4 1.0713 40 159.25 69.75 23 35.3 92.3 86.8 96.1 58 39.4 22.7 30 26.4 17.4
185 17.4 1.0587 40 170.5 74.25 21.8 37.7 98.9 90.4 95.5 55.4 38.9 22.4 30.5 28.9 17.7
186 9.2 1.0794 40 167.5 71.5 23.1 39.4 89.5 83.7 98.1 57.3 39.7 22.6 32.9 29.3 18.2
187 23 1.0453 41 232.75 74.25 29.7 41.9 117.5 109.3 108.8 67.7 41.3 24.7 37.2 31.8 20
188 20.1 1.0524 41 210.5 72 28.6 38.5 107.4 98.9 104.1 63.5 39.8 23.5 36.4 30.4 19.1
189 20.2 1.052 41 202.25 72.5 27 40.8 109.2 98 101.8 62.8 41.3 24.8 36.6 32.4 18.8
190 23.8 1.0434 41 185 68.25 28 38 103.4 101.2 103.1 61.5 40.4 22.9 33.4 29.2 18.5
191 11.8 1.0728 41 153 69.25 22.5 36.4 91.4 80.6 92.3 54.3 36.3 21.8 29.6 27.3 17.9
192 36.5 1.014 42 244.25 76 29.8 41.8 115.2 113.7 112.4 68.5 45 25.5 37.1 31.2 19.9
193 16 1.0624 42 193.5 70.5 27.4 40.7 104.9 94.1 102.7 60.6 38.6 24.7 34 30.1 18.7
194 24 1.0429 42 224.75 74.75 28.3 38.5 106.7 105.7 111.8 65.3 43.3 26 33.7 29.9 18.5
195 22.3 1.047 42 162.75 72.75 21.6 35.4 92.2 85.6 96.5 60.2 38.9 22.4 31.7 27.1 17.1
196 24.8 1.0411 42 180 68.25 27.2 38.5 101.6 96.6 100.6 61.1 38.4 24.1 32.9 29.8 18.8
197 21.5 1.0488 42 156.25 69 23.1 35.5 97.8 86 96.2 57.7 38.6 24 31.2 27.3 17.4
198 17.6 1.0583 42 168 71.5 23.1 36.5 92 89.7 101 62.3 38 22.3 30.8 27.8 16.9
199 7.3 1.0841 42 167.25 72.75 22.3 37.6 94 78 99 57.5 40 22.5 30.6 30 18.5
200 22.6 1.0462 43 170.75 67.5 26.4 37.4 103.7 89.7 94.2 58.5 39 24.1 33.8 28.8 18.8
201 12.5 1.0709 43 178.25 70.25 25.4 37.8 102.7 89.2 99.2 60.2 39.2 23.8 31.7 28.4 18.6
202 21.7 1.0484 43 150 69.25 22 35.2 91.1 85.7 96.9 55.5 35.7 22 29.4 26.6 17.4
203 27.7 1.034 43 200.5 71.5 27.6 37.9 107.2 103.1 105.5 68.8 38.3 23.7 32.1 28.9 18.7
204 6.8 1.0854 44 184 74 23.7 37.9 100.8 89.1 102.6 60.6 39 24 32.9 29.2 18.4
205 33.4 1.0209 44 223 69.75 32.3 40.9 121.6 113.9 107.1 63.5 40.3 21.8 34.8 30.7 17.4
206 16.6 1.061 44 208.75 73 27.6 41.9 105.6 96.3 102 63.3 39.8 24.1 37.3 23.1 19.4
207 31.7 1.025 44 166 65.5 27.2 39.1 100.6 93.9 100.1 58.9 37.6 21.4 33.1 29.5 17.3
208 31.5 1.0254 47 195 72.5 26.1 40.2 102.7 101.3 101.7 60.7 39.4 23.3 36.7 31.6 18.4
209 10.1 1.0771 47 160.5 70.25 22.9 36 99.8 83.9 91.8 53 36.2 22.5 31.4 27.5 17.7
210 11.3 1.0742 47 159.75 70.75 22.5 34.5 92.9 84.4 94 56 38.2 22.6 29 26.2 17.6
211 7.8 1.0829 49 140.5 68 21.4 35.8 91.2 79.4 89 51.1 35 21.7 30.9 28.8 17.4
212 26.4 1.0373 49 216.25 74.5 27.4 40.2 115.6 104 109 63.7 40.3 23.2 36.8 31 18.9
213 19.3 1.0543 49 168.25 71.75 23 38.3 98.3 89.7 99.1 56.3 38.8 23 29.5 27.9 18.6
214 18.5 1.0561 50 194.75 70.75 27.4 39 103.7 97.6 104.2 60 40.9 25.5 32.7 30 19
215 19.3 1.0543 50 172.75 73 22.8 37.4 98.7 87.6 96.1 57.1 38.1 21.8 28.6 26.7 18
216 45.1 0.995 51 219 64 37.6 41.2 119.8 122.1 112.8 62.5 36.9 23.6 34.7 29.1 18.4
217 13.8 1.0678 51 149.25 69.75 21.6 34.8 92.8 81.1 96.3 53.8 36.5 21.5 31.3 26.3 17.8
218 8.2 1.0819 51 154.5 70 22.2 36.9 93.3 81.5 94.4 54.7 39 22.6 27.5 25.9 18.6
219 23.9 1.0433 52 199.25 71.75 27.2 39.4 106.8 100 105 63.9 39.2 22.9 35.7 30.4 19.2
220 15.1 1.0646 53 154.5 69.25 22.7 37.6 93.9 88.7 94.5 53.7 36.2 22 28.5 25.7 17.1
221 12.7 1.0706 54 153.25 70.5 24.5 38.5 99 91.8 96.2 57.7 38.1 23.9 31.4 29.9 18.9
222 25.3 1.0399 54 230 72.25 31 42.5 119.9 110.4 105.5 64.2 42.7 27 38.4 32 19.6
223 11.9 1.0726 54 161.75 67.5 25 37.4 94.2 87.6 95.6 59.7 40.2 23.4 27.9 27 17.8
224 6.1 1.0874 55 142.25 67.25 22.2 35.2 92.7 82.8 91.9 54.4 35.2 22.5 29.4 26.8 17
225 11.3 1.074 55 179.75 68.75 26.8 41.1 106.9 95.3 98.2 57.4 37.1 21.8 34.1 31.1 19.2
226 12.8 1.0703 55 126.5 66.75 20 33.4 88.8 78.2 87.5 50.8 33 19.7 25.3 22 15.8
227 14.9 1.065 55 169.5 68.25 25.6 37.2 101.7 91.1 97.1 56.6 38.5 22.6 33.4 29.3 18.8
228 24.5 1.0418 55 198.5 74.25 25.3 38.3 105.3 96.7 106.6 64 42.6 23.4 33.2 30 18.4
229 15 1.0647 56 174.5 69.5 25.4 38.1 104 89.4 98.4 58.4 37.4 22.5 34.6 30.1 18.8
230 16.9 1.0601 56 167.75 68.5 25.2 37.4 98.6 93 97 55.4 38.8 23.2 32.4 29.7 19
231 11.1 1.0745 57 147.75 65.75 24.1 35.2 99.6 86.4 90.1 53 35 21.3 31.7 27.3 16.9
232 16.1 1.062 57 182.25 71.75 24.9 39.4 103.4 96.7 100.7 59.3 38.6 22.8 31.8 29.1 19
233 15.5 1.0636 58 175.5 71.5 24.2 38 100.2 88.1 97.8 57.1 38.9 23.6 30.9 29.6 18
234 25.9 1.0384 58 161.75 67.25 25.2 35.1 94.9 94.9 100.2 56.8 35.9 21 27.8 26.1 17.6
235 25.5 1.0403 60 157.75 67.5 24.1 40.4 97.2 93.3 94 54.3 35.7 21 31.3 28.7 18.3
236 18.4 1.0563 62 168.75 67.5 26.1 38.3 104.7 95.6 93.7 54.4 37.1 22.7 30.3 26.3 18.3
237 24 1.0424 62 191.5 72.25 25.8 40.6 104 98.2 101.1 59.3 40.3 23 32.6 28.5 19
238 26.4 1.0372 63 219.15 69.5 31.9 40.2 117.6 113.8 111.8 63.4 41.1 22.3 35.1 29.6 18.5
239 12.7 1.0705 64 155.25 69.5 22.6 37.9 95.8 82.8 94.5 61.2 39.1 22.3 29.8 28.9 18.3
240 28.8 1.0316 65 189.75 65.75 30.9 40.8 106.4 100.5 100.5 59.2 38.1 24 35.9 30.5 19.1
241 17 1.0599 65 127.5 65.75 20.8 34.7 93 79.7 87.6 50.7 33.4 20.1 28.5 24.8 16.5
242 33.6 1.0207 65 224.5 68.25 33.9 38.8 119.6 118 114.3 61.3 42.1 23.4 34.9 30.1 19.4
243 29.3 1.0304 66 234.25 72 31.8 41.4 119.7 109 109.1 63.7 42.4 24.6 35.6 30.7 19.5
244 31.4 1.0256 67 227.75 72.75 30.3 41.3 115.8 113.4 109.8 65.6 46 25.4 35.3 29.8 19.5
245 28.1 1.0334 67 199.5 68.5 29.9 40.7 118.3 106.1 101.6 58.2 38.8 24.1 32.1 29.3 18.5
246 15.3 1.0641 68 155.5 69.25 22.8 36.3 97.4 84.3 94.4 54.3 37.5 22.6 29.2 27.3 18.5
247 29.1 1.0308 69 215.5 70.5 30.5 40.8 113.7 107.6 110 63.3 44 22.6 37.5 32.6 18.8
248 11.5 1.0736 70 134.25 67 21.1 34.9 89.2 83.6 88.8 49.6 34.8 21.5 25.6 25.7 18.5
249 32.3 1.0236 72 201 69.75 29.1 40.9 108.5 105 104.5 59.6 40.8 23.2 35.2 28.6 20.1
250 28.3 1.0328 72 186.75 66 30.2 38.9 111.1 111.5 101.7 60.3 37.3 21.5 31.3 27.2 18
251 25.3 1.0399 72 190.75 70.5 27 38.9 108.3 101.3 97.8 56 41.6 22.7 30.5 29.4 19.8
252 30.7 1.0271 74 207.5 70 29.8 40.8 112.4 108.5 107.1 59.3 42.2 24.6 33.7 30 20.9

I believe the best way is with ggplot. It becomes a standard grouped bar plot.
library(ggplot2)
ggplot(avgweightpercat, aes(htcat, weight, fill = bodycat)) +
geom_col(position = "dodge")
Aggregate data from the text file.
The aggregated data can be created from the posted file with the following simpler code.
It uses cut with the appropriate labels and intervals end points to create the two factors' levels.
bodydata$bodycat <- cut(bodydata$bodyfat,
breaks = c(0, 14, 25, Inf),
labels = c("Athlete", "Average", "Obese"),
include.lowest = TRUE, right = FALSE)
bodydata$htcat <- cut(bodydata$height,
breaks = c(29.50, 68.25, 70.00, 72.25, 77.75),
labels = c("short", "below average", "above average", "tall"),
include.lowest = TRUE, right = FALSE)
avgweightpercat <- aggregate(weight ~ bodycat + htcat,
data = bodydata, FUN = mean)
Data in dput format.
avgweightpercat <-
structure(list(bodycat = structure(c(1L, 2L, 3L, 1L, 2L, 3L,
1L, 2L, 3L, 1L, 2L, 3L), .Label = c("Athlete", "Average", "Obese"
), class = "factor"), htcat = structure(c(1L, 1L, 1L, 2L, 2L,
2L, 3L, 3L, 3L, 4L, 4L, 4L), .Label = c("short", "below average",
"above average", "tall"), class = "factor"), weight = c(138.886363636364,
161.654761904762, 178.683333333333, 154.333333333333, 170.172413793103,
205.243333333333, 160.979166666667, 180.99358974359, 202.823529411765,
175.075, 199.863636363636, 228.679166666667)), row.names = c(NA,
-12L), class = "data.frame")

violin plot in R studio

First, I read in the bodyfat.csv data file and generate a variable "bodycat" to categorize body fat into the three categories athlete, average, or obese. (Athlete, less than 14%, Average, 14-25%, Obese, greater than 25%)
bodycat <- read.csv("bodyfat.csv",header=T)
bodytype <- c()
bodytype[bodycat$bodyfat<14]<-"Athlete"
bodytype[bodycat$bodyfat>=14 & bodycat$bodyfat<25]<-"Average"
bodytype[bodycat$bodyfat>=25]<-"Obese"
bodycat <-cbind(bodycat,bodytype)
remove(bodytype)
Second, I want to create a violin plot of weight separated by bodycat. Trying to figure out
Are the weights evenly distributed within a range for all categories?
Do athletes tend to be within a certain weight range?
library(lattice)
bwplot(weight~bodycat, data = bodycat, panel = panel.violin,
xlab = "weight", ylab = "bodycat")
I only got an error in R studio, what's wrong with my code? Or I can only create "violin plot of weight separated by bodycat" by manully create every violin plot of weight separated by "each column" in this csv?
like:
bwplot(weight~age, data = bodycat, panel = panel.violin,
xlab = "weight", ylab = "bodycat")
bodyfat.csv in plain text
id bodyfat density age weight height adiposity neck chest abdomen hip thigh knee ankle bicep forearm wrist
1 12.6 1.0708 23 154.25 67.75 23.7 36.2 93.1 85.2 94.5 59 37.3 21.9 32 27.4 17.1
2 6.9 1.0853 22 173.25 72.25 23.4 38.5 93.6 83 98.7 58.7 37.3 23.4 30.5 28.9 18.2
3 24.6 1.0414 22 154 66.25 24.7 34 95.8 87.9 99.2 59.6 38.9 24 28.8 25.2 16.6
4 10.9 1.0751 26 184.75 72.25 24.9 37.4 101.8 86.4 101.2 60.1 37.3 22.8 32.4 29.4 18.2
5 27.8 1.034 24 184.25 71.25 25.6 34.4 97.3 100 101.9 63.2 42.2 24 32.2 27.7 17.7
6 20.6 1.0502 24 210.25 74.75 26.5 39 104.5 94.4 107.8 66 42 25.6 35.7 30.6 18.8
7 19 1.0549 26 181 69.75 26.2 36.4 105.1 90.7 100.3 58.4 38.3 22.9 31.9 27.8 17.7
8 12.8 1.0704 25 176 72.5 23.6 37.8 99.6 88.5 97.1 60 39.4 23.2 30.5 29 18.8
9 5.1 1.09 25 191 74 24.6 38.1 100.9 82.5 99.9 62.9 38.3 23.8 35.9 31.1 18.2
10 12 1.0722 23 198.25 73.5 25.8 42.1 99.6 88.6 104.1 63.1 41.7 25 35.6 30 19.2
11 7.5 1.083 26 186.25 74.5 23.6 38.5 101.5 83.6 98.2 59.7 39.7 25.2 32.8 29.4 18.5
12 8.5 1.0812 27 216 76 26.3 39.4 103.6 90.9 107.7 66.2 39.2 25.9 37.2 30.2 19
13 20.5 1.0513 32 180.5 69.5 26.3 38.4 102 91.6 103.9 63.4 38.3 21.5 32.5 28.6 17.7
14 20.8 1.0505 30 205.25 71.25 28.5 39.4 104.1 101.8 108.6 66 41.5 23.7 36.9 31.6 18.8
15 21.7 1.0484 35 187.75 69.5 27.4 40.5 101.3 96.4 100.1 69 39 23.1 36.1 30.5 18.2
16 20.5 1.0512 35 162.75 66 26.3 36.4 99.1 92.8 99.2 63.1 38.7 21.7 31.1 26.4 16.9
17 28.1 1.0333 34 195.75 71 27.3 38.9 101.9 96.4 105.2 64.8 40.8 23.1 36.2 30.8 17.3
18 22.4 1.0468 32 209.25 71 29.2 42.1 107.6 97.5 107 66.9 40 24.4 38.2 31.6 19.3
19 16.1 1.0622 28 183.75 67.75 28.2 38 106.8 89.6 102.4 64.2 38.7 22.9 37.2 30.5 18.5
20 16.5 1.061 33 211.75 73.5 27.6 40 106.2 100.5 109 65.8 40.6 24 37.1 30.1 18.2
21 19 1.0551 28 179 68 27.3 39.1 103.3 95.9 104.9 63.5 38 22.1 32.5 30.3 18.4
22 15.3 1.064 28 200.5 69.75 29.1 41.3 111.4 98.8 104.8 63.4 40.6 24.6 33 32.8 19.9
23 15.7 1.0631 31 140.25 68.25 21.2 33.9 86 76.4 94.6 57.4 35.3 22.2 27.9 25.9 16.7
24 17.6 1.0584 32 148.75 70 21.4 35.5 86.7 80 93.4 54.9 36.2 22.1 29.8 26.7 17.1
25 14.2 1.0668 28 151.25 67.75 23.2 34.5 90.2 76.3 95.8 58.4 35.5 22.9 31.1 28 17.6
26 4.6 1.0911 27 159.25 71.5 21.9 35.7 89.6 79.7 96.5 55 36.7 22.5 29.9 28.2 17.7
27 8.5 1.0811 34 131.5 67.5 20.3 36.2 88.6 74.6 85.3 51.7 34.7 21.4 28.7 27 16.5
28 22.4 1.0468 31 148 67.5 22.9 38.8 97.4 88.7 94.7 57.5 36 21 29.2 26.6 17
29 4.7 1.091 27 133.25 64.75 22.4 36.4 93.5 73.9 88.5 50.1 34.5 21.3 30.5 27.9 17.2
30 9.4 1.079 29 160.75 69 23.8 36.7 97.4 83.5 98.7 58.9 35.3 22.6 30.1 26.7 17.6
31 12.3 1.0716 32 182 73.75 23.6 38.7 100.5 88.7 99.8 57.5 38.7 33.9 32.5 27.7 18.4
32 6.5 1.0862 29 160.25 71.25 22.2 37.3 93.5 84.5 100.6 58.5 38.8 21.5 30.1 26.4 17.9
33 13.4 1.0719 27 168 71.25 23.3 38.1 93 79.1 94.5 57.3 36.2 24.5 29 30 18.8
34 20.9 1.0502 41 218.5 71 30.5 39.8 111.7 100.5 108.3 67.1 44.2 25.2 37.5 31.5 18.7
35 31.1 1.0263 41 247.25 73.5 32.2 42.1 117 115.6 116.1 71.2 43.3 26.3 37.3 31.7 19.7
36 38.2 1.0101 49 191.75 65 32 38.4 118.5 113.1 113.8 61.9 38.3 21.9 32 29.8 17
37 23.6 1.0438 40 202.25 70 29.1 38.5 106.5 100.9 106.2 63.5 39.9 22.6 35.1 30.6 19
38 27.5 1.0346 50 196.75 68.25 29.7 42.1 105.6 98.8 104.8 66 41.5 24.7 33.2 30.5 19.4
39 33.8 1.0202 46 363.15 72.25 48.9 51.2 136.2 148.1 147.7 87.3 49.1 29.6 45 29 21.4
40 31.3 1.0258 50 203 67 31.8 40.2 114.8 108.1 102.5 61.3 41.1 24.7 34.1 31 18.3
41 33.1 1.0217 45 262.75 68.75 39.1 43.2 128.3 126.2 125.6 72.5 39.6 26.6 36.4 32.7 21.4
42 31.7 1.025 44 205 29.5 29.9 36.6 106 104.3 115.5 70.6 42.5 23.7 33.6 28.7 17.4
43 30.4 1.0279 48 217 70 31.2 37.3 113.3 111.2 114.1 67.7 40.9 25 36.7 29.8 18.4
44 30.8 1.0269 41 212 71.5 29.2 41.5 106.6 104.3 106 65 40.2 23 35.8 31.5 18.8
45 8.4 1.0814 39 125.25 68 19.1 31.5 85.1 76 88.2 50 34.7 21 26.1 23.1 16.1
46 14.1 1.067 43 164.25 73.25 21.3 35.7 96.6 81.5 97.2 58.4 38.2 23.4 29.7 27.4 18.3
47 11.2 1.0742 40 133.5 67.5 20.6 33.6 88.2 73.7 88.5 53.3 34.5 22.5 27.9 26.2 17.3
48 6.4 1.0665 39 148.5 71.25 20.6 34.6 89.8 79.5 92.7 52.7 37.5 21.9 28.8 26.8 17.9
49 13.4 1.0678 45 135.75 68.5 20.4 32.8 92.3 83.4 90.4 52 35.8 20.6 28.8 25.5 16.3
50 5 1.0903 47 127.5 66.75 20.2 34 83.4 70.4 87.2 50.6 34.4 21.9 26.8 25.8 16.8
51 10.7 1.0756 47 158.25 72.25 21.3 34.9 90.2 86.7 98.3 52.6 37.2 22.4 26 25.8 17.3
52 7.4 1.084 40 139.25 69 20.6 34.3 89.2 77.9 91 51.4 34.9 21 26.7 26.1 17.2
53 8.7 1.0807 51 137.25 67.75 21.1 36.5 89.7 82 89.1 49.3 33.7 21.4 29.6 26 16.9
54 7.1 1.0848 49 152.75 73.5 19.9 35.1 93.3 79.6 91.6 52.6 37.6 22.6 38.5 27.4 18.5
55 4.9 1.0906 42 136.25 67.5 21.1 37.8 87.6 77.6 88.6 51.9 34.9 22.5 27.7 27.5 18.5
56 22.2 1.0473 54 198 72 26.9 39.9 107.6 100 99.6 57.2 38 22 35.9 30.2 18.9
57 20.1 1.0524 58 181.5 68 27.6 39.1 100 99.8 102.5 62.1 39.6 22.5 33.1 28.3 18.5
58 27.1 1.0356 62 201.25 69.5 29.3 40.5 111.5 104.2 105.8 61.8 39.8 22.7 37.7 30.9 19.2
59 30.4 1.028 54 202.5 70.75 28.4 40.5 115.4 105.3 97 59.1 38 22.5 31.6 28.8 18.2
60 24 1.043 61 179.75 65.75 29.2 38.4 104.8 98.3 99.6 60.6 37.7 22.9 34.5 29.6 18.5
61 25.4 1.0396 62 216 73.25 28.2 41.4 112.3 104.8 103.1 61.6 40.9 23.1 36.2 31.8 20.2
62 28.8 1.0317 56 178.75 68.5 26.8 35.6 102.9 94.7 100.8 60.9 38 22.1 32.5 29.8 18.3
63 29.6 1.0298 54 193.25 70.25 27.6 38 107.6 102.4 99.4 61 39.4 23.6 32.7 29.9 19.1
64 25.1 1.0403 61 178 67 27.9 37.4 105.3 99.7 99.7 60.8 40.1 22.7 33.6 29 18.8
65 31 1.0264 57 205.5 70 29.5 40.1 105.3 105.5 108.3 65 41.2 24.7 35.3 31.1 18.4
66 28.9 1.0313 55 183.5 67.5 28.3 40.9 103 100.3 104.2 64.8 40.2 22.7 34.8 30.1 18.7
67 21.1 1.0499 54 151.5 70.75 21.3 35.6 90 83.9 93.9 55 36.1 21.7 29.6 27.4 17.4
68 14 1.0673 55 154.75 71.5 21.3 36.9 95.4 86.6 91.8 54.3 35.4 21.5 32.8 27.4 18.7
69 7.1 1.0847 54 155.25 69.25 22.8 37.5 89.3 78.4 96.1 56 37.4 22.4 32.6 28.1 18.1
70 13.2 1.0693 55 156.75 71.5 21.6 36.3 94.4 84.6 94.3 51.2 37.4 21.6 27.3 27.1 17.3
71 23.7 1.0439 62 167.5 71.5 23.1 35.5 97.6 91.5 98.5 56.6 38.6 22.4 31.5 27.3 18.6
72 9.4 1.0788 55 146.75 68.75 21.9 38.7 88.5 82.8 95.5 58.9 37.6 21.6 30.3 27.3 18.3
73 9.1 1.0796 56 160.75 73.75 20.8 36.4 93.6 82.9 96.3 52.9 37.5 23.1 29.7 27.3 18.2
74 13.7 1.068 55 125 64 21.5 33.2 87.7 76 88.6 50.9 35.4 19.1 29.3 25.7 16.9
75 12 1.072 61 143 65.75 23.3 36.5 93.4 83.3 93 55.5 35.2 20.9 29.4 27 16.8
76 18.3 1.0666 61 148.25 67.5 22.9 36 91.6 81.8 94.8 54.5 37 21.4 29.3 27 18.3
77 9.2 1.079 57 162.5 69.5 23.7 38.7 91.6 78.8 94.3 56.7 39.7 24.2 30.2 29.2 18.1
78 21.7 1.0483 69 177.75 68.5 26.7 38.7 102 95 98.3 55 38.3 21.8 30.8 25.7 18.8
79 21.1 1.0498 81 161.25 70.25 23 37.8 96.4 95.4 99.3 53.5 37.5 21.5 31.4 26.8 18.3
80 18.6 1.056 66 171.25 69.25 25.1 37.4 102.7 98.6 100.2 56.5 39.3 22.7 30.3 28.7 19
81 30.2 1.0283 67 163.75 67.75 25.1 38.4 97.7 95.8 97.1 54.8 38.2 23.7 29.4 27.2 19
82 26 1.0382 64 150.25 67.25 23.4 38.1 97.1 89 96.9 54.8 38 22 29.9 25.2 17.7
83 18.2 1.0568 64 190.25 72.75 25.3 39.3 103.1 97.8 99.6 58.9 39 23 34.3 29.6 19
84 26.2 1.0377 70 170.75 70 24.5 38.7 101.8 94.9 95 56 36.5 24.1 31.2 27.3 19.2
85 26.1 1.0378 72 168 69.25 24.7 38.5 101.4 99.8 96.2 56.3 36.6 22 29.7 26.3 18
86 25.8 1.0386 67 167 67.5 26 36.5 98.9 89.7 96.2 54.7 37.8 33.7 32.4 27.7 18.2
87 15 1.0648 72 157.75 67.25 24.6 37.7 97.5 88.1 96.9 57.2 37.7 21.8 32.6 28 18.8
88 22.6 1.0462 64 160 65.75 26 36.5 104.3 90.9 93.8 57.8 39.5 23.3 29.2 28.4 18.1
89 8.8 1.08 46 176.75 72.5 23.7 38 97.3 86 99.3 61 38.4 23.8 30.2 29.3 18.8
90 14.3 1.0666 48 176 73 23.3 36.7 96.7 86.5 98.3 60.4 39.9 24.4 28.8 29.6 18.7
91 20.2 1.052 46 177 70 25.4 37.2 99.7 95.6 102.2 58.3 38.2 22.5 29.1 27.7 17.7
92 18.1 1.0573 44 179.75 69.5 26.2 39.2 101.9 93.2 100.6 58.9 39.7 23.1 31.4 28.4 18.8
93 9.2 1.0795 47 165.25 70.5 23.4 37.5 97.2 83.1 95.4 56.9 38.3 22.1 30.1 28.2 18.4
94 24.2 1.0424 46 192.5 71.75 26.3 38 106.6 97.5 100.6 58.9 40.5 24.5 33.3 29.6 19.1
95 9.6 1.0785 47 184.25 74.5 23.4 37.3 99.6 88.8 101.4 57.4 39.6 24.6 30.3 27.9 17.8
96 17.3 1.0991 53 224.5 77.75 26.1 41.1 113.2 99.2 107.5 61.7 42.3 23.2 32.9 30.8 20.4
97 10.1 1.077 38 188.75 73.25 24.8 37.5 99.1 91.6 102.4 60.6 39.4 22.9 31.6 30.1 18.5
98 11.1 1.073 50 162.5 66.5 25.9 38.7 99.4 86.7 96.2 62.1 39.3 23.3 30.6 27.8 18.2
99 17.7 1.0582 46 156.5 68.25 23.7 35.9 95.1 88.2 92.8 54.7 37.3 21.9 31.6 27.5 18.2
100 21.7 1.0484 47 197 72 26.7 40 107.5 94 103.7 62.7 39 22.3 35.3 30.9 18.3
101 20.8 1.0506 49 198.5 73.5 25.9 40.1 106.5 95 101.7 59 39.4 22.3 32.2 31 18.6
102 20.1 1.0524 48 173.75 72 23.6 37 99.1 92 98.3 59.3 38.4 22.4 27.9 26.2 17
103 19.8 1.053 41 172.75 71.25 24 36.3 96.7 89.2 98.3 60 38.4 23.2 31 29.2 18.4
104 21.9 1.048 49 196.75 73.75 25.5 40.7 103.5 95.5 101.6 59.1 39.8 25.4 31 30.3 19.7
105 24.7 1.0412 43 177 69.25 26 39.6 104 98.6 99.5 59.5 36.1 22 30.1 27.2 17.7
106 17.8 1.0578 43 165.5 68.5 24.8 31.1 93.1 87.3 96.6 54.7 39 24.8 31 29.4 18.8
107 19.1 1.0547 43 200.25 73.5 26 38.6 105.2 102.8 103.6 61.2 39.3 23.5 30.5 28.5 18.1
108 18.2 1.0569 52 203.25 74.25 26 42 110 101.6 100.7 55.8 38.7 23.4 35.1 29.6 19.1
109 17.2 1.0593 43 194 75.5 24 38.5 110.1 88.7 102.1 57.5 40 24.8 35.1 30.7 19.2
110 21 1.05 40 168.5 69.25 24.7 34.2 97.8 92.3 100.6 57.5 36.8 22.8 32.1 26 17.3
111 19.5 1.0538 43 170.75 68.5 25.6 37.2 96.3 90.6 99.3 61.9 38 22.3 33.3 28.2 18.1
112 27.1 1.0355 43 183.25 70 26.3 37.1 108 105 103 63.7 40 23.6 33.5 27.8 17.4
113 21.6 1.0486 47 178.25 70 25.6 40.2 99.7 95 98.6 62.3 38.1 23.9 35.3 31.1 19.8
114 20.9 1.0503 42 163 70.25 23.3 35.3 93.5 89.6 99.8 61.5 37.8 21.9 30.7 27.6 17.4
115 25.9 1.0384 48 175.25 71.75 24 38 100.7 92.4 97.5 59.3 38.1 21.8 31.8 27.3 17.5
116 16.7 1.0607 40 158 69.25 23.4 36.3 97 86.6 92.6 55.9 36.3 22.1 29.8 26.3 17.3
117 19.8 1.0529 48 177.25 72.75 23.6 36.8 96 90 99.7 58.8 38.4 22.8 29.9 28 18.1
118 14.1 1.0671 51 179 72 24.3 41 99.2 90 96.4 56.8 38.8 23.3 33.4 29.8 19.5
119 25.1 1.0404 40 191 74 24.6 38.3 95.4 92.4 104.3 64.6 41.1 24.8 33.6 29.5 18.5
120 17.9 1.0575 44 187.5 72.25 25.3 38 101.8 87.5 101 58.5 39.2 24.5 32.1 28.6 18
121 27 1.0358 52 206.5 74.5 26.2 40.8 104.3 99.2 104.1 58.5 39.3 24.6 33.9 31.2 19.5
122 24.6 1.0414 44 185.25 71.5 25.5 39.5 99.2 98.1 101.4 57.1 40.5 23.2 33 29.6 18.4
123 14.8 1.0652 40 160.25 68.75 23.9 36.9 99.3 83.3 97.5 60.5 38.7 22.6 34.4 28 17.6
124 16 1.0623 47 151.5 66.75 23.9 36.9 94 86.1 95.2 58.1 36.5 22.1 30.6 27.5 17.6
125 14 1.0674 50 161 66.5 25.6 37.7 98.9 84.1 94 58.5 36.6 23.5 34.4 29.2 18
126 17.4 1.0587 46 167 67 26.2 36.6 101 89.9 100 60.7 36 21.9 35.6 30.2 17.6
127 26.4 1.0373 42 177.5 68.75 26.4 38.9 98.7 92.1 98.5 60.7 36.8 22.2 33.8 30.3 17.2
128 17.4 1.059 43 152.25 67.75 23.4 37.5 95.9 78 93.2 53.5 35.8 20.8 33.9 28.2 17.4
129 20.4 1.0515 40 192.25 73.25 25.2 39.8 103.9 93.5 99.5 61.7 39 21.8 33.3 29.6 18.1
130 15 1.0648 42 165.25 69.75 23.9 38.3 96.2 87 97.8 57.4 36.9 22.2 31.6 27.8 17.7
131 18 1.0575 49 171.75 71.5 23.7 35.5 97.8 90.1 95.8 57 38.7 23.2 27.5 26.5 17.6
132 22.2 1.0472 40 171.25 70.5 24.3 36.3 94.6 90.3 99.1 60.3 38.5 23 31.2 28.4 17.1
133 23.1 1.0452 47 197 73.25 25.8 37.8 103.6 99.8 103.2 61.2 38.1 22.6 33.5 28.6 17.9
134 25.3 1.0398 50 157 66.75 24.8 37.8 100.4 89.4 92.3 56.1 35.6 20.5 33.6 29.3 17.3
135 23.8 1.0435 41 168.25 69.5 24.5 36.5 98.4 87.2 98.4 56 36.9 23 34 29.8 18.1
136 26.3 1.0374 44 186 69.75 26.8 37.8 104.6 101.1 102.1 58.9 37.9 22.7 30.9 28.8 17.6
137 21.4 1.0491 39 166.75 70.75 23.5 37 92.9 86.1 95.6 58.8 36.1 22.4 32.7 28.3 17.1
138 28.4 1.0325 43 187.75 74 24.1 37.7 97.8 98.6 100.6 63.6 39.2 23.8 34.3 28.4 17.7
139 21.8 1.0481 40 168.25 71.25 23.3 34.3 98.3 88.5 98.3 58.1 38.4 22.5 31.7 27.4 17.6
140 20.1 1.0522 49 212.75 75 26.6 40.8 104.7 106.6 107.7 66.5 42.5 24.5 35.5 29.8 18.7
141 24.3 1.0422 40 176.75 71 24.6 37.4 98.6 93.1 101.6 59.1 39.6 21.6 30.8 27.9 16.6
142 18.1 1.0571 40 173.25 69.5 25.3 36.5 99.5 93 99.3 60.4 38.2 22 32 28.5 17.8
143 22.7 1.0459 52 167 67.75 25.6 37.5 102.7 91 98.9 57.1 36.7 22.3 31.6 27.5 17.9
144 9.9 1.0775 23 159.75 72.25 21.6 35.5 92.1 77.1 93.9 56.1 36.1 22.7 30.5 27.2 18.2
145 10.8 1.0754 23 188.15 77.5 22.1 38 96.6 85.3 102.5 59.1 37.6 23.2 31.8 29.7 18.3
146 14.4 1.0664 24 156 70.75 21.9 35.7 92.7 81.9 95.3 56.4 36.5 22 33.5 28.3 17.3
147 19 1.055 24 208.5 72.75 27.7 39.2 102 99.1 110.1 71.2 43.5 25.2 36.1 30.3 18.7
148 28.6 1.0322 25 206.5 69.75 29.8 40.9 110.9 100.5 106.2 68.4 40.8 24.6 33.3 29.7 18.4
149 6.1 1.0873 25 143.75 72.5 19.3 35.2 92.3 76.5 92.1 51.9 35.7 22 25.8 25.2 16.9
150 24.5 1.0416 26 223 70.25 31.8 40.6 114.1 106.8 113.9 67.6 42.7 24.7 36 30.4 18.4
151 9.9 1.0776 26 152.25 69 22.5 35.4 92.9 77.6 93.5 56.9 35.9 20.4 31.6 29 17.8
152 19.1 1.0542 26 241.75 74.5 30.7 41.8 108.3 102.9 114.4 72.9 43.5 25.1 38.5 33.8 19.6
153 10.6 1.0758 27 146 72.25 19.7 34.1 88.5 72.8 91.1 53.6 36.8 23.8 27.8 26.3 17.4
154 16.5 1.061 27 156.75 67.25 24.4 37.9 94 88.2 95.2 56.8 37.4 22.8 30.6 28.3 17.9
155 20.5 1.051 27 200.25 73.5 26.1 38.2 101.1 100.1 105 62.1 40 24.9 33.7 29.2 19.4
156 17.2 1.0594 28 171.5 75.25 21.6 35.6 92.1 83.5 98.3 57.3 37.8 21.7 32.2 27.7 17.7
157 30.1 1.0287 28 205.75 69 30.4 38.5 105.6 105 106.4 68.6 40 25.2 35.2 30.7 19.1
158 10.5 1.0761 28 182.5 72.25 24.6 37 98.5 90.8 102.5 60.8 38.5 25 31.6 28 18.6
159 12.8 1.0704 30 136.5 68.75 20.3 35.9 88.7 76.6 89.8 50.1 34.8 21.8 27 34.9 16.9
160 22 1.0477 31 177.25 71.5 24.4 36.2 101.1 92.4 99.3 59.4 39 24.6 30.1 28.2 18.2
161 9.9 1.0775 31 151.25 72.25 20.4 35 94 81.2 91.5 52.5 36.6 21 27 26.3 16.5
162 14.8 1.0653 33 196 73 25.9 38.5 103.8 95.6 105.1 61.4 40.6 25 31.3 29.2 19.1
163 13.3 1.069 33 184.25 68.75 24.4 40.7 98.9 92.1 103.5 64 37.3 23.5 33.5 30.6 19.7
164 15.2 1.0644 34 140 70.5 19.8 36 89.2 83.4 89.6 52.4 35.6 20.4 28.3 26.2 16.5
165 26.5 1.037 34 218.75 72 29.7 39.5 111.4 106 108.8 63.8 42 23.4 34 31.2 18.5
166 19 1.0549 35 217 73.75 28.1 40.5 107.5 95.1 104.5 64.8 41.3 25.6 36.4 33.7 19.4
167 21.4 1.0492 35 166.25 68 25.3 38.5 99.1 90.4 95.6 55.5 34.2 21.9 30.2 28.7 17.7
168 20 1.0525 35 224.75 72.25 30.3 43.9 108.2 100.4 106.8 63.3 41.7 24.6 37.2 33.1 19.8
169 34.7 1.018 35 228.25 69.5 33.3 40.4 114.9 115.9 111.9 74.4 40.6 24 36.1 31.8 18.8
170 16.5 1.061 35 172.75 69.5 25.2 37.6 99.1 90.8 98.1 60.1 39.1 23.4 32.5 29.8 17.4
171 4.1 1.0926 35 152.25 67.75 23.4 37 92.2 81.9 92.8 54.7 36.2 22.1 30.4 27.4 17.7
172 1.9 1.0983 35 125.75 65.5 20.6 34 90.8 75 89.2 50 34.8 22 24.8 25.9 16.9
173 20.2 1.0521 35 177.25 71 24.8 38.4 100.5 90.3 98.7 57.8 37.3 22.4 31 28.7 17.7
174 16.8 1.0603 36 176.25 71.5 24.3 38.7 98.2 90.3 99.9 59.2 37.7 21.5 32.4 28.4 17.8
175 24.6 1.0414 36 226.75 71.75 31 41.5 115.3 108.8 114.4 69.2 42.4 24 35.4 21 20.1
176 10.4 1.0763 37 145.25 69.25 21.3 36 96.8 79.4 89.2 50.3 34.8 22.2 31 26.9 16.9
177 13.4 1.0689 37 151 67 23.7 35.3 92.6 83.2 96.4 60 38.1 22 31.5 26.6 16.7
178 28.8 1.0316 37 241.25 71.5 33.2 42.1 119.2 110.3 113.9 69.8 42.6 24.8 34.4 29.5 18.4
179 22 1.0477 38 187.25 69.25 27.5 38 102.7 92.7 101.9 64.7 39.5 24.7 34.8 30.3 18.1
180 16.8 1.0603 39 234.75 74.5 29.8 42.8 109.5 104.5 109.9 69.5 43.1 25.8 39.1 32.5 19.9
181 25.8 1.0387 39 219.25 74.25 28 40 108.5 104.6 109.8 68.1 42.8 24.1 35.6 29 19
182 0 1.1089 40 118.5 68 18.1 33.8 79.3 69.4 85 47.2 33.5 20.2 27.7 24.6 16.5
183 11.9 1.0725 40 145.75 67.25 22.7 35.5 95.5 83.6 91.6 54.1 36.2 21.8 31.4 28.3 17.2
184 12.4 1.0713 40 159.25 69.75 23 35.3 92.3 86.8 96.1 58 39.4 22.7 30 26.4 17.4
185 17.4 1.0587 40 170.5 74.25 21.8 37.7 98.9 90.4 95.5 55.4 38.9 22.4 30.5 28.9 17.7
186 9.2 1.0794 40 167.5 71.5 23.1 39.4 89.5 83.7 98.1 57.3 39.7 22.6 32.9 29.3 18.2
187 23 1.0453 41 232.75 74.25 29.7 41.9 117.5 109.3 108.8 67.7 41.3 24.7 37.2 31.8 20
188 20.1 1.0524 41 210.5 72 28.6 38.5 107.4 98.9 104.1 63.5 39.8 23.5 36.4 30.4 19.1
189 20.2 1.052 41 202.25 72.5 27 40.8 109.2 98 101.8 62.8 41.3 24.8 36.6 32.4 18.8
190 23.8 1.0434 41 185 68.25 28 38 103.4 101.2 103.1 61.5 40.4 22.9 33.4 29.2 18.5
191 11.8 1.0728 41 153 69.25 22.5 36.4 91.4 80.6 92.3 54.3 36.3 21.8 29.6 27.3 17.9
192 36.5 1.014 42 244.25 76 29.8 41.8 115.2 113.7 112.4 68.5 45 25.5 37.1 31.2 19.9
193 16 1.0624 42 193.5 70.5 27.4 40.7 104.9 94.1 102.7 60.6 38.6 24.7 34 30.1 18.7
194 24 1.0429 42 224.75 74.75 28.3 38.5 106.7 105.7 111.8 65.3 43.3 26 33.7 29.9 18.5
195 22.3 1.047 42 162.75 72.75 21.6 35.4 92.2 85.6 96.5 60.2 38.9 22.4 31.7 27.1 17.1
196 24.8 1.0411 42 180 68.25 27.2 38.5 101.6 96.6 100.6 61.1 38.4 24.1 32.9 29.8 18.8
197 21.5 1.0488 42 156.25 69 23.1 35.5 97.8 86 96.2 57.7 38.6 24 31.2 27.3 17.4
198 17.6 1.0583 42 168 71.5 23.1 36.5 92 89.7 101 62.3 38 22.3 30.8 27.8 16.9
199 7.3 1.0841 42 167.25 72.75 22.3 37.6 94 78 99 57.5 40 22.5 30.6 30 18.5
200 22.6 1.0462 43 170.75 67.5 26.4 37.4 103.7 89.7 94.2 58.5 39 24.1 33.8 28.8 18.8
201 12.5 1.0709 43 178.25 70.25 25.4 37.8 102.7 89.2 99.2 60.2 39.2 23.8 31.7 28.4 18.6
202 21.7 1.0484 43 150 69.25 22 35.2 91.1 85.7 96.9 55.5 35.7 22 29.4 26.6 17.4
203 27.7 1.034 43 200.5 71.5 27.6 37.9 107.2 103.1 105.5 68.8 38.3 23.7 32.1 28.9 18.7
204 6.8 1.0854 44 184 74 23.7 37.9 100.8 89.1 102.6 60.6 39 24 32.9 29.2 18.4
205 33.4 1.0209 44 223 69.75 32.3 40.9 121.6 113.9 107.1 63.5 40.3 21.8 34.8 30.7 17.4
206 16.6 1.061 44 208.75 73 27.6 41.9 105.6 96.3 102 63.3 39.8 24.1 37.3 23.1 19.4
207 31.7 1.025 44 166 65.5 27.2 39.1 100.6 93.9 100.1 58.9 37.6 21.4 33.1 29.5 17.3
208 31.5 1.0254 47 195 72.5 26.1 40.2 102.7 101.3 101.7 60.7 39.4 23.3 36.7 31.6 18.4
209 10.1 1.0771 47 160.5 70.25 22.9 36 99.8 83.9 91.8 53 36.2 22.5 31.4 27.5 17.7
210 11.3 1.0742 47 159.75 70.75 22.5 34.5 92.9 84.4 94 56 38.2 22.6 29 26.2 17.6
211 7.8 1.0829 49 140.5 68 21.4 35.8 91.2 79.4 89 51.1 35 21.7 30.9 28.8 17.4
212 26.4 1.0373 49 216.25 74.5 27.4 40.2 115.6 104 109 63.7 40.3 23.2 36.8 31 18.9
213 19.3 1.0543 49 168.25 71.75 23 38.3 98.3 89.7 99.1 56.3 38.8 23 29.5 27.9 18.6
214 18.5 1.0561 50 194.75 70.75 27.4 39 103.7 97.6 104.2 60 40.9 25.5 32.7 30 19
215 19.3 1.0543 50 172.75 73 22.8 37.4 98.7 87.6 96.1 57.1 38.1 21.8 28.6 26.7 18
216 45.1 0.995 51 219 64 37.6 41.2 119.8 122.1 112.8 62.5 36.9 23.6 34.7 29.1 18.4
217 13.8 1.0678 51 149.25 69.75 21.6 34.8 92.8 81.1 96.3 53.8 36.5 21.5 31.3 26.3 17.8
218 8.2 1.0819 51 154.5 70 22.2 36.9 93.3 81.5 94.4 54.7 39 22.6 27.5 25.9 18.6
219 23.9 1.0433 52 199.25 71.75 27.2 39.4 106.8 100 105 63.9 39.2 22.9 35.7 30.4 19.2
220 15.1 1.0646 53 154.5 69.25 22.7 37.6 93.9 88.7 94.5 53.7 36.2 22 28.5 25.7 17.1
221 12.7 1.0706 54 153.25 70.5 24.5 38.5 99 91.8 96.2 57.7 38.1 23.9 31.4 29.9 18.9
222 25.3 1.0399 54 230 72.25 31 42.5 119.9 110.4 105.5 64.2 42.7 27 38.4 32 19.6
223 11.9 1.0726 54 161.75 67.5 25 37.4 94.2 87.6 95.6 59.7 40.2 23.4 27.9 27 17.8
224 6.1 1.0874 55 142.25 67.25 22.2 35.2 92.7 82.8 91.9 54.4 35.2 22.5 29.4 26.8 17
225 11.3 1.074 55 179.75 68.75 26.8 41.1 106.9 95.3 98.2 57.4 37.1 21.8 34.1 31.1 19.2
226 12.8 1.0703 55 126.5 66.75 20 33.4 88.8 78.2 87.5 50.8 33 19.7 25.3 22 15.8
227 14.9 1.065 55 169.5 68.25 25.6 37.2 101.7 91.1 97.1 56.6 38.5 22.6 33.4 29.3 18.8
228 24.5 1.0418 55 198.5 74.25 25.3 38.3 105.3 96.7 106.6 64 42.6 23.4 33.2 30 18.4
229 15 1.0647 56 174.5 69.5 25.4 38.1 104 89.4 98.4 58.4 37.4 22.5 34.6 30.1 18.8
230 16.9 1.0601 56 167.75 68.5 25.2 37.4 98.6 93 97 55.4 38.8 23.2 32.4 29.7 19
231 11.1 1.0745 57 147.75 65.75 24.1 35.2 99.6 86.4 90.1 53 35 21.3 31.7 27.3 16.9
232 16.1 1.062 57 182.25 71.75 24.9 39.4 103.4 96.7 100.7 59.3 38.6 22.8 31.8 29.1 19
233 15.5 1.0636 58 175.5 71.5 24.2 38 100.2 88.1 97.8 57.1 38.9 23.6 30.9 29.6 18
234 25.9 1.0384 58 161.75 67.25 25.2 35.1 94.9 94.9 100.2 56.8 35.9 21 27.8 26.1 17.6
235 25.5 1.0403 60 157.75 67.5 24.1 40.4 97.2 93.3 94 54.3 35.7 21 31.3 28.7 18.3
236 18.4 1.0563 62 168.75 67.5 26.1 38.3 104.7 95.6 93.7 54.4 37.1 22.7 30.3 26.3 18.3
237 24 1.0424 62 191.5 72.25 25.8 40.6 104 98.2 101.1 59.3 40.3 23 32.6 28.5 19
238 26.4 1.0372 63 219.15 69.5 31.9 40.2 117.6 113.8 111.8 63.4 41.1 22.3 35.1 29.6 18.5
239 12.7 1.0705 64 155.25 69.5 22.6 37.9 95.8 82.8 94.5 61.2 39.1 22.3 29.8 28.9 18.3
240 28.8 1.0316 65 189.75 65.75 30.9 40.8 106.4 100.5 100.5 59.2 38.1 24 35.9 30.5 19.1
241 17 1.0599 65 127.5 65.75 20.8 34.7 93 79.7 87.6 50.7 33.4 20.1 28.5 24.8 16.5
242 33.6 1.0207 65 224.5 68.25 33.9 38.8 119.6 118 114.3 61.3 42.1 23.4 34.9 30.1 19.4
243 29.3 1.0304 66 234.25 72 31.8 41.4 119.7 109 109.1 63.7 42.4 24.6 35.6 30.7 19.5
244 31.4 1.0256 67 227.75 72.75 30.3 41.3 115.8 113.4 109.8 65.6 46 25.4 35.3 29.8 19.5
245 28.1 1.0334 67 199.5 68.5 29.9 40.7 118.3 106.1 101.6 58.2 38.8 24.1 32.1 29.3 18.5
246 15.3 1.0641 68 155.5 69.25 22.8 36.3 97.4 84.3 94.4 54.3 37.5 22.6 29.2 27.3 18.5
247 29.1 1.0308 69 215.5 70.5 30.5 40.8 113.7 107.6 110 63.3 44 22.6 37.5 32.6 18.8
248 11.5 1.0736 70 134.25 67 21.1 34.9 89.2 83.6 88.8 49.6 34.8 21.5 25.6 25.7 18.5
249 32.3 1.0236 72 201 69.75 29.1 40.9 108.5 105 104.5 59.6 40.8 23.2 35.2 28.6 20.1
250 28.3 1.0328 72 186.75 66 30.2 38.9 111.1 111.5 101.7 60.3 37.3 21.5 31.3 27.2 18
251 25.3 1.0399 72 190.75 70.5 27 38.9 108.3 101.3 97.8 56 41.6 22.7 30.5 29.4 19.8
252 30.7 1.0271 74 207.5 70 29.8 40.8 112.4 108.5 107.1 59.3 42.2 24.6 33.7 30 20.9

Here's a solution in ggplot2:
Some illustrative data:
set.seed(123)
Bodytype <- sample(LETTERS[1:3], 500, replace = T)
Weight <- rnorm(500,80,2)
df <- data.frame(Bodytype, Weight)
g <-
ggplot(data = df,
aes(x = Bodytype, y = Weight, fill = Bodytype)) +
geom_violin(scale = "count", trim = F, adjust = 0.75) +
geom_point(aes(y = Weight),
position = position_jitter(width = .15), size = 0.9, alpha = 0.8) +
theme_gray()
g
One-panel plot: plot:

Add density plots to overlapping histograms

The dataset called bodyfat.csv, I attached the data set in plain text for your reference.
After reading in bodyfat.csv data file, I generated a variable "bodycat" to categorize "bodyfat" into the three categories "athlete", "average", or "obese". (Athlete, less than 14%, Average, 14-25%, Obese, greater than 25%).
Then I created overlapping histograms.
Now I want to add 3 density plots to the exsiting overlapping histograms, 1 for each body category.
bodydata <- read.csv("bodyfat.csv",header=T)
bodycat <- c()
bodycat[bodydata$bodyfat<14]<-"Athlete"
bodycat[bodydata$bodyfat>=14 & bodydata$bodyfat<25]<-"Average"
bodycat[bodydata$bodyfat>=25]<-"Obese"
bodydata <-cbind(bodydata,bodycat)
hist(bodydata$neck[bodydata$bodycat == "Athlete"],
col=rgb(1,0,0,0.25),
xlim = c(30,55),
ylim = c(0,25),
main = "Neck for the three body categories",
xlab = "Body categories",
ylab = "Neck",
breaks=15)
hist(bodydata$neck[bodydata$bodycat == "Average"],
col=rgb(0,0,1,0.25),
breaks=15,
add=T)
hist(bodydata$neck[bodydata$bodycat == "Obese"],
col=rgb(0,1,0,0.25),
breaks=15,
add=T)
legend("topright", c("Athlete", "Average", "Obese"),
col=c(rgb(1,0,0,0.25),rgb(0,0,1,0.25),rgb(0,1,0,0.25)), lwd=15)
dens1 <- density(bodydata$bodycat == "Average", bw = 4)
lines(dens1, lwd = 2)
I recived an error:
Error in density.default(bodydata$bodycat == "Average", bw = 4) :
Parameter 'x' must be numeric
Is there a way to use R to achieve adding density plots to overlapping histograms?
bodyfat.csv in plain text
id bodyfat density age weight height adiposity neck chest abdomen hip thigh knee ankle bicep forearm wrist
1 12.6 1.0708 23 154.25 67.75 23.7 36.2 93.1 85.2 94.5 59 37.3 21.9 32 27.4 17.1
2 6.9 1.0853 22 173.25 72.25 23.4 38.5 93.6 83 98.7 58.7 37.3 23.4 30.5 28.9 18.2
3 24.6 1.0414 22 154 66.25 24.7 34 95.8 87.9 99.2 59.6 38.9 24 28.8 25.2 16.6
4 10.9 1.0751 26 184.75 72.25 24.9 37.4 101.8 86.4 101.2 60.1 37.3 22.8 32.4 29.4 18.2
5 27.8 1.034 24 184.25 71.25 25.6 34.4 97.3 100 101.9 63.2 42.2 24 32.2 27.7 17.7
6 20.6 1.0502 24 210.25 74.75 26.5 39 104.5 94.4 107.8 66 42 25.6 35.7 30.6 18.8
7 19 1.0549 26 181 69.75 26.2 36.4 105.1 90.7 100.3 58.4 38.3 22.9 31.9 27.8 17.7
8 12.8 1.0704 25 176 72.5 23.6 37.8 99.6 88.5 97.1 60 39.4 23.2 30.5 29 18.8
9 5.1 1.09 25 191 74 24.6 38.1 100.9 82.5 99.9 62.9 38.3 23.8 35.9 31.1 18.2
10 12 1.0722 23 198.25 73.5 25.8 42.1 99.6 88.6 104.1 63.1 41.7 25 35.6 30 19.2
11 7.5 1.083 26 186.25 74.5 23.6 38.5 101.5 83.6 98.2 59.7 39.7 25.2 32.8 29.4 18.5
12 8.5 1.0812 27 216 76 26.3 39.4 103.6 90.9 107.7 66.2 39.2 25.9 37.2 30.2 19
13 20.5 1.0513 32 180.5 69.5 26.3 38.4 102 91.6 103.9 63.4 38.3 21.5 32.5 28.6 17.7
14 20.8 1.0505 30 205.25 71.25 28.5 39.4 104.1 101.8 108.6 66 41.5 23.7 36.9 31.6 18.8
15 21.7 1.0484 35 187.75 69.5 27.4 40.5 101.3 96.4 100.1 69 39 23.1 36.1 30.5 18.2
16 20.5 1.0512 35 162.75 66 26.3 36.4 99.1 92.8 99.2 63.1 38.7 21.7 31.1 26.4 16.9
17 28.1 1.0333 34 195.75 71 27.3 38.9 101.9 96.4 105.2 64.8 40.8 23.1 36.2 30.8 17.3
18 22.4 1.0468 32 209.25 71 29.2 42.1 107.6 97.5 107 66.9 40 24.4 38.2 31.6 19.3
19 16.1 1.0622 28 183.75 67.75 28.2 38 106.8 89.6 102.4 64.2 38.7 22.9 37.2 30.5 18.5
20 16.5 1.061 33 211.75 73.5 27.6 40 106.2 100.5 109 65.8 40.6 24 37.1 30.1 18.2
21 19 1.0551 28 179 68 27.3 39.1 103.3 95.9 104.9 63.5 38 22.1 32.5 30.3 18.4
22 15.3 1.064 28 200.5 69.75 29.1 41.3 111.4 98.8 104.8 63.4 40.6 24.6 33 32.8 19.9
23 15.7 1.0631 31 140.25 68.25 21.2 33.9 86 76.4 94.6 57.4 35.3 22.2 27.9 25.9 16.7
24 17.6 1.0584 32 148.75 70 21.4 35.5 86.7 80 93.4 54.9 36.2 22.1 29.8 26.7 17.1
25 14.2 1.0668 28 151.25 67.75 23.2 34.5 90.2 76.3 95.8 58.4 35.5 22.9 31.1 28 17.6
26 4.6 1.0911 27 159.25 71.5 21.9 35.7 89.6 79.7 96.5 55 36.7 22.5 29.9 28.2 17.7
27 8.5 1.0811 34 131.5 67.5 20.3 36.2 88.6 74.6 85.3 51.7 34.7 21.4 28.7 27 16.5
28 22.4 1.0468 31 148 67.5 22.9 38.8 97.4 88.7 94.7 57.5 36 21 29.2 26.6 17
29 4.7 1.091 27 133.25 64.75 22.4 36.4 93.5 73.9 88.5 50.1 34.5 21.3 30.5 27.9 17.2
30 9.4 1.079 29 160.75 69 23.8 36.7 97.4 83.5 98.7 58.9 35.3 22.6 30.1 26.7 17.6
31 12.3 1.0716 32 182 73.75 23.6 38.7 100.5 88.7 99.8 57.5 38.7 33.9 32.5 27.7 18.4
32 6.5 1.0862 29 160.25 71.25 22.2 37.3 93.5 84.5 100.6 58.5 38.8 21.5 30.1 26.4 17.9
33 13.4 1.0719 27 168 71.25 23.3 38.1 93 79.1 94.5 57.3 36.2 24.5 29 30 18.8
34 20.9 1.0502 41 218.5 71 30.5 39.8 111.7 100.5 108.3 67.1 44.2 25.2 37.5 31.5 18.7
35 31.1 1.0263 41 247.25 73.5 32.2 42.1 117 115.6 116.1 71.2 43.3 26.3 37.3 31.7 19.7
36 38.2 1.0101 49 191.75 65 32 38.4 118.5 113.1 113.8 61.9 38.3 21.9 32 29.8 17
37 23.6 1.0438 40 202.25 70 29.1 38.5 106.5 100.9 106.2 63.5 39.9 22.6 35.1 30.6 19
38 27.5 1.0346 50 196.75 68.25 29.7 42.1 105.6 98.8 104.8 66 41.5 24.7 33.2 30.5 19.4
39 33.8 1.0202 46 363.15 72.25 48.9 51.2 136.2 148.1 147.7 87.3 49.1 29.6 45 29 21.4
40 31.3 1.0258 50 203 67 31.8 40.2 114.8 108.1 102.5 61.3 41.1 24.7 34.1 31 18.3
41 33.1 1.0217 45 262.75 68.75 39.1 43.2 128.3 126.2 125.6 72.5 39.6 26.6 36.4 32.7 21.4
42 31.7 1.025 44 205 29.5 29.9 36.6 106 104.3 115.5 70.6 42.5 23.7 33.6 28.7 17.4
43 30.4 1.0279 48 217 70 31.2 37.3 113.3 111.2 114.1 67.7 40.9 25 36.7 29.8 18.4
44 30.8 1.0269 41 212 71.5 29.2 41.5 106.6 104.3 106 65 40.2 23 35.8 31.5 18.8
45 8.4 1.0814 39 125.25 68 19.1 31.5 85.1 76 88.2 50 34.7 21 26.1 23.1 16.1
46 14.1 1.067 43 164.25 73.25 21.3 35.7 96.6 81.5 97.2 58.4 38.2 23.4 29.7 27.4 18.3
47 11.2 1.0742 40 133.5 67.5 20.6 33.6 88.2 73.7 88.5 53.3 34.5 22.5 27.9 26.2 17.3
48 6.4 1.0665 39 148.5 71.25 20.6 34.6 89.8 79.5 92.7 52.7 37.5 21.9 28.8 26.8 17.9
49 13.4 1.0678 45 135.75 68.5 20.4 32.8 92.3 83.4 90.4 52 35.8 20.6 28.8 25.5 16.3
50 5 1.0903 47 127.5 66.75 20.2 34 83.4 70.4 87.2 50.6 34.4 21.9 26.8 25.8 16.8
51 10.7 1.0756 47 158.25 72.25 21.3 34.9 90.2 86.7 98.3 52.6 37.2 22.4 26 25.8 17.3
52 7.4 1.084 40 139.25 69 20.6 34.3 89.2 77.9 91 51.4 34.9 21 26.7 26.1 17.2
53 8.7 1.0807 51 137.25 67.75 21.1 36.5 89.7 82 89.1 49.3 33.7 21.4 29.6 26 16.9
54 7.1 1.0848 49 152.75 73.5 19.9 35.1 93.3 79.6 91.6 52.6 37.6 22.6 38.5 27.4 18.5
55 4.9 1.0906 42 136.25 67.5 21.1 37.8 87.6 77.6 88.6 51.9 34.9 22.5 27.7 27.5 18.5
56 22.2 1.0473 54 198 72 26.9 39.9 107.6 100 99.6 57.2 38 22 35.9 30.2 18.9
57 20.1 1.0524 58 181.5 68 27.6 39.1 100 99.8 102.5 62.1 39.6 22.5 33.1 28.3 18.5
58 27.1 1.0356 62 201.25 69.5 29.3 40.5 111.5 104.2 105.8 61.8 39.8 22.7 37.7 30.9 19.2
59 30.4 1.028 54 202.5 70.75 28.4 40.5 115.4 105.3 97 59.1 38 22.5 31.6 28.8 18.2
60 24 1.043 61 179.75 65.75 29.2 38.4 104.8 98.3 99.6 60.6 37.7 22.9 34.5 29.6 18.5
61 25.4 1.0396 62 216 73.25 28.2 41.4 112.3 104.8 103.1 61.6 40.9 23.1 36.2 31.8 20.2
62 28.8 1.0317 56 178.75 68.5 26.8 35.6 102.9 94.7 100.8 60.9 38 22.1 32.5 29.8 18.3
63 29.6 1.0298 54 193.25 70.25 27.6 38 107.6 102.4 99.4 61 39.4 23.6 32.7 29.9 19.1
64 25.1 1.0403 61 178 67 27.9 37.4 105.3 99.7 99.7 60.8 40.1 22.7 33.6 29 18.8
65 31 1.0264 57 205.5 70 29.5 40.1 105.3 105.5 108.3 65 41.2 24.7 35.3 31.1 18.4
66 28.9 1.0313 55 183.5 67.5 28.3 40.9 103 100.3 104.2 64.8 40.2 22.7 34.8 30.1 18.7
67 21.1 1.0499 54 151.5 70.75 21.3 35.6 90 83.9 93.9 55 36.1 21.7 29.6 27.4 17.4
68 14 1.0673 55 154.75 71.5 21.3 36.9 95.4 86.6 91.8 54.3 35.4 21.5 32.8 27.4 18.7
69 7.1 1.0847 54 155.25 69.25 22.8 37.5 89.3 78.4 96.1 56 37.4 22.4 32.6 28.1 18.1
70 13.2 1.0693 55 156.75 71.5 21.6 36.3 94.4 84.6 94.3 51.2 37.4 21.6 27.3 27.1 17.3
71 23.7 1.0439 62 167.5 71.5 23.1 35.5 97.6 91.5 98.5 56.6 38.6 22.4 31.5 27.3 18.6
72 9.4 1.0788 55 146.75 68.75 21.9 38.7 88.5 82.8 95.5 58.9 37.6 21.6 30.3 27.3 18.3
73 9.1 1.0796 56 160.75 73.75 20.8 36.4 93.6 82.9 96.3 52.9 37.5 23.1 29.7 27.3 18.2
74 13.7 1.068 55 125 64 21.5 33.2 87.7 76 88.6 50.9 35.4 19.1 29.3 25.7 16.9
75 12 1.072 61 143 65.75 23.3 36.5 93.4 83.3 93 55.5 35.2 20.9 29.4 27 16.8
76 18.3 1.0666 61 148.25 67.5 22.9 36 91.6 81.8 94.8 54.5 37 21.4 29.3 27 18.3
77 9.2 1.079 57 162.5 69.5 23.7 38.7 91.6 78.8 94.3 56.7 39.7 24.2 30.2 29.2 18.1
78 21.7 1.0483 69 177.75 68.5 26.7 38.7 102 95 98.3 55 38.3 21.8 30.8 25.7 18.8
79 21.1 1.0498 81 161.25 70.25 23 37.8 96.4 95.4 99.3 53.5 37.5 21.5 31.4 26.8 18.3
80 18.6 1.056 66 171.25 69.25 25.1 37.4 102.7 98.6 100.2 56.5 39.3 22.7 30.3 28.7 19
81 30.2 1.0283 67 163.75 67.75 25.1 38.4 97.7 95.8 97.1 54.8 38.2 23.7 29.4 27.2 19
82 26 1.0382 64 150.25 67.25 23.4 38.1 97.1 89 96.9 54.8 38 22 29.9 25.2 17.7
83 18.2 1.0568 64 190.25 72.75 25.3 39.3 103.1 97.8 99.6 58.9 39 23 34.3 29.6 19
84 26.2 1.0377 70 170.75 70 24.5 38.7 101.8 94.9 95 56 36.5 24.1 31.2 27.3 19.2
85 26.1 1.0378 72 168 69.25 24.7 38.5 101.4 99.8 96.2 56.3 36.6 22 29.7 26.3 18
86 25.8 1.0386 67 167 67.5 26 36.5 98.9 89.7 96.2 54.7 37.8 33.7 32.4 27.7 18.2
87 15 1.0648 72 157.75 67.25 24.6 37.7 97.5 88.1 96.9 57.2 37.7 21.8 32.6 28 18.8
88 22.6 1.0462 64 160 65.75 26 36.5 104.3 90.9 93.8 57.8 39.5 23.3 29.2 28.4 18.1
89 8.8 1.08 46 176.75 72.5 23.7 38 97.3 86 99.3 61 38.4 23.8 30.2 29.3 18.8
90 14.3 1.0666 48 176 73 23.3 36.7 96.7 86.5 98.3 60.4 39.9 24.4 28.8 29.6 18.7
91 20.2 1.052 46 177 70 25.4 37.2 99.7 95.6 102.2 58.3 38.2 22.5 29.1 27.7 17.7
92 18.1 1.0573 44 179.75 69.5 26.2 39.2 101.9 93.2 100.6 58.9 39.7 23.1 31.4 28.4 18.8
93 9.2 1.0795 47 165.25 70.5 23.4 37.5 97.2 83.1 95.4 56.9 38.3 22.1 30.1 28.2 18.4
94 24.2 1.0424 46 192.5 71.75 26.3 38 106.6 97.5 100.6 58.9 40.5 24.5 33.3 29.6 19.1
95 9.6 1.0785 47 184.25 74.5 23.4 37.3 99.6 88.8 101.4 57.4 39.6 24.6 30.3 27.9 17.8
96 17.3 1.0991 53 224.5 77.75 26.1 41.1 113.2 99.2 107.5 61.7 42.3 23.2 32.9 30.8 20.4
97 10.1 1.077 38 188.75 73.25 24.8 37.5 99.1 91.6 102.4 60.6 39.4 22.9 31.6 30.1 18.5
98 11.1 1.073 50 162.5 66.5 25.9 38.7 99.4 86.7 96.2 62.1 39.3 23.3 30.6 27.8 18.2
99 17.7 1.0582 46 156.5 68.25 23.7 35.9 95.1 88.2 92.8 54.7 37.3 21.9 31.6 27.5 18.2
100 21.7 1.0484 47 197 72 26.7 40 107.5 94 103.7 62.7 39 22.3 35.3 30.9 18.3
101 20.8 1.0506 49 198.5 73.5 25.9 40.1 106.5 95 101.7 59 39.4 22.3 32.2 31 18.6
102 20.1 1.0524 48 173.75 72 23.6 37 99.1 92 98.3 59.3 38.4 22.4 27.9 26.2 17
103 19.8 1.053 41 172.75 71.25 24 36.3 96.7 89.2 98.3 60 38.4 23.2 31 29.2 18.4
104 21.9 1.048 49 196.75 73.75 25.5 40.7 103.5 95.5 101.6 59.1 39.8 25.4 31 30.3 19.7
105 24.7 1.0412 43 177 69.25 26 39.6 104 98.6 99.5 59.5 36.1 22 30.1 27.2 17.7
106 17.8 1.0578 43 165.5 68.5 24.8 31.1 93.1 87.3 96.6 54.7 39 24.8 31 29.4 18.8
107 19.1 1.0547 43 200.25 73.5 26 38.6 105.2 102.8 103.6 61.2 39.3 23.5 30.5 28.5 18.1
108 18.2 1.0569 52 203.25 74.25 26 42 110 101.6 100.7 55.8 38.7 23.4 35.1 29.6 19.1
109 17.2 1.0593 43 194 75.5 24 38.5 110.1 88.7 102.1 57.5 40 24.8 35.1 30.7 19.2
110 21 1.05 40 168.5 69.25 24.7 34.2 97.8 92.3 100.6 57.5 36.8 22.8 32.1 26 17.3
111 19.5 1.0538 43 170.75 68.5 25.6 37.2 96.3 90.6 99.3 61.9 38 22.3 33.3 28.2 18.1
112 27.1 1.0355 43 183.25 70 26.3 37.1 108 105 103 63.7 40 23.6 33.5 27.8 17.4
113 21.6 1.0486 47 178.25 70 25.6 40.2 99.7 95 98.6 62.3 38.1 23.9 35.3 31.1 19.8
114 20.9 1.0503 42 163 70.25 23.3 35.3 93.5 89.6 99.8 61.5 37.8 21.9 30.7 27.6 17.4
115 25.9 1.0384 48 175.25 71.75 24 38 100.7 92.4 97.5 59.3 38.1 21.8 31.8 27.3 17.5
116 16.7 1.0607 40 158 69.25 23.4 36.3 97 86.6 92.6 55.9 36.3 22.1 29.8 26.3 17.3
117 19.8 1.0529 48 177.25 72.75 23.6 36.8 96 90 99.7 58.8 38.4 22.8 29.9 28 18.1
118 14.1 1.0671 51 179 72 24.3 41 99.2 90 96.4 56.8 38.8 23.3 33.4 29.8 19.5
119 25.1 1.0404 40 191 74 24.6 38.3 95.4 92.4 104.3 64.6 41.1 24.8 33.6 29.5 18.5
120 17.9 1.0575 44 187.5 72.25 25.3 38 101.8 87.5 101 58.5 39.2 24.5 32.1 28.6 18
121 27 1.0358 52 206.5 74.5 26.2 40.8 104.3 99.2 104.1 58.5 39.3 24.6 33.9 31.2 19.5
122 24.6 1.0414 44 185.25 71.5 25.5 39.5 99.2 98.1 101.4 57.1 40.5 23.2 33 29.6 18.4
123 14.8 1.0652 40 160.25 68.75 23.9 36.9 99.3 83.3 97.5 60.5 38.7 22.6 34.4 28 17.6
124 16 1.0623 47 151.5 66.75 23.9 36.9 94 86.1 95.2 58.1 36.5 22.1 30.6 27.5 17.6
125 14 1.0674 50 161 66.5 25.6 37.7 98.9 84.1 94 58.5 36.6 23.5 34.4 29.2 18
126 17.4 1.0587 46 167 67 26.2 36.6 101 89.9 100 60.7 36 21.9 35.6 30.2 17.6
127 26.4 1.0373 42 177.5 68.75 26.4 38.9 98.7 92.1 98.5 60.7 36.8 22.2 33.8 30.3 17.2
128 17.4 1.059 43 152.25 67.75 23.4 37.5 95.9 78 93.2 53.5 35.8 20.8 33.9 28.2 17.4
129 20.4 1.0515 40 192.25 73.25 25.2 39.8 103.9 93.5 99.5 61.7 39 21.8 33.3 29.6 18.1
130 15 1.0648 42 165.25 69.75 23.9 38.3 96.2 87 97.8 57.4 36.9 22.2 31.6 27.8 17.7
131 18 1.0575 49 171.75 71.5 23.7 35.5 97.8 90.1 95.8 57 38.7 23.2 27.5 26.5 17.6
132 22.2 1.0472 40 171.25 70.5 24.3 36.3 94.6 90.3 99.1 60.3 38.5 23 31.2 28.4 17.1
133 23.1 1.0452 47 197 73.25 25.8 37.8 103.6 99.8 103.2 61.2 38.1 22.6 33.5 28.6 17.9
134 25.3 1.0398 50 157 66.75 24.8 37.8 100.4 89.4 92.3 56.1 35.6 20.5 33.6 29.3 17.3
135 23.8 1.0435 41 168.25 69.5 24.5 36.5 98.4 87.2 98.4 56 36.9 23 34 29.8 18.1
136 26.3 1.0374 44 186 69.75 26.8 37.8 104.6 101.1 102.1 58.9 37.9 22.7 30.9 28.8 17.6
137 21.4 1.0491 39 166.75 70.75 23.5 37 92.9 86.1 95.6 58.8 36.1 22.4 32.7 28.3 17.1
138 28.4 1.0325 43 187.75 74 24.1 37.7 97.8 98.6 100.6 63.6 39.2 23.8 34.3 28.4 17.7
139 21.8 1.0481 40 168.25 71.25 23.3 34.3 98.3 88.5 98.3 58.1 38.4 22.5 31.7 27.4 17.6
140 20.1 1.0522 49 212.75 75 26.6 40.8 104.7 106.6 107.7 66.5 42.5 24.5 35.5 29.8 18.7
141 24.3 1.0422 40 176.75 71 24.6 37.4 98.6 93.1 101.6 59.1 39.6 21.6 30.8 27.9 16.6
142 18.1 1.0571 40 173.25 69.5 25.3 36.5 99.5 93 99.3 60.4 38.2 22 32 28.5 17.8
143 22.7 1.0459 52 167 67.75 25.6 37.5 102.7 91 98.9 57.1 36.7 22.3 31.6 27.5 17.9
144 9.9 1.0775 23 159.75 72.25 21.6 35.5 92.1 77.1 93.9 56.1 36.1 22.7 30.5 27.2 18.2
145 10.8 1.0754 23 188.15 77.5 22.1 38 96.6 85.3 102.5 59.1 37.6 23.2 31.8 29.7 18.3
146 14.4 1.0664 24 156 70.75 21.9 35.7 92.7 81.9 95.3 56.4 36.5 22 33.5 28.3 17.3
147 19 1.055 24 208.5 72.75 27.7 39.2 102 99.1 110.1 71.2 43.5 25.2 36.1 30.3 18.7
148 28.6 1.0322 25 206.5 69.75 29.8 40.9 110.9 100.5 106.2 68.4 40.8 24.6 33.3 29.7 18.4
149 6.1 1.0873 25 143.75 72.5 19.3 35.2 92.3 76.5 92.1 51.9 35.7 22 25.8 25.2 16.9
150 24.5 1.0416 26 223 70.25 31.8 40.6 114.1 106.8 113.9 67.6 42.7 24.7 36 30.4 18.4
151 9.9 1.0776 26 152.25 69 22.5 35.4 92.9 77.6 93.5 56.9 35.9 20.4 31.6 29 17.8
152 19.1 1.0542 26 241.75 74.5 30.7 41.8 108.3 102.9 114.4 72.9 43.5 25.1 38.5 33.8 19.6
153 10.6 1.0758 27 146 72.25 19.7 34.1 88.5 72.8 91.1 53.6 36.8 23.8 27.8 26.3 17.4
154 16.5 1.061 27 156.75 67.25 24.4 37.9 94 88.2 95.2 56.8 37.4 22.8 30.6 28.3 17.9
155 20.5 1.051 27 200.25 73.5 26.1 38.2 101.1 100.1 105 62.1 40 24.9 33.7 29.2 19.4
156 17.2 1.0594 28 171.5 75.25 21.6 35.6 92.1 83.5 98.3 57.3 37.8 21.7 32.2 27.7 17.7
157 30.1 1.0287 28 205.75 69 30.4 38.5 105.6 105 106.4 68.6 40 25.2 35.2 30.7 19.1
158 10.5 1.0761 28 182.5 72.25 24.6 37 98.5 90.8 102.5 60.8 38.5 25 31.6 28 18.6
159 12.8 1.0704 30 136.5 68.75 20.3 35.9 88.7 76.6 89.8 50.1 34.8 21.8 27 34.9 16.9
160 22 1.0477 31 177.25 71.5 24.4 36.2 101.1 92.4 99.3 59.4 39 24.6 30.1 28.2 18.2
161 9.9 1.0775 31 151.25 72.25 20.4 35 94 81.2 91.5 52.5 36.6 21 27 26.3 16.5
162 14.8 1.0653 33 196 73 25.9 38.5 103.8 95.6 105.1 61.4 40.6 25 31.3 29.2 19.1
163 13.3 1.069 33 184.25 68.75 24.4 40.7 98.9 92.1 103.5 64 37.3 23.5 33.5 30.6 19.7
164 15.2 1.0644 34 140 70.5 19.8 36 89.2 83.4 89.6 52.4 35.6 20.4 28.3 26.2 16.5
165 26.5 1.037 34 218.75 72 29.7 39.5 111.4 106 108.8 63.8 42 23.4 34 31.2 18.5
166 19 1.0549 35 217 73.75 28.1 40.5 107.5 95.1 104.5 64.8 41.3 25.6 36.4 33.7 19.4
167 21.4 1.0492 35 166.25 68 25.3 38.5 99.1 90.4 95.6 55.5 34.2 21.9 30.2 28.7 17.7
168 20 1.0525 35 224.75 72.25 30.3 43.9 108.2 100.4 106.8 63.3 41.7 24.6 37.2 33.1 19.8
169 34.7 1.018 35 228.25 69.5 33.3 40.4 114.9 115.9 111.9 74.4 40.6 24 36.1 31.8 18.8
170 16.5 1.061 35 172.75 69.5 25.2 37.6 99.1 90.8 98.1 60.1 39.1 23.4 32.5 29.8 17.4
171 4.1 1.0926 35 152.25 67.75 23.4 37 92.2 81.9 92.8 54.7 36.2 22.1 30.4 27.4 17.7
172 1.9 1.0983 35 125.75 65.5 20.6 34 90.8 75 89.2 50 34.8 22 24.8 25.9 16.9
173 20.2 1.0521 35 177.25 71 24.8 38.4 100.5 90.3 98.7 57.8 37.3 22.4 31 28.7 17.7
174 16.8 1.0603 36 176.25 71.5 24.3 38.7 98.2 90.3 99.9 59.2 37.7 21.5 32.4 28.4 17.8
175 24.6 1.0414 36 226.75 71.75 31 41.5 115.3 108.8 114.4 69.2 42.4 24 35.4 21 20.1
176 10.4 1.0763 37 145.25 69.25 21.3 36 96.8 79.4 89.2 50.3 34.8 22.2 31 26.9 16.9
177 13.4 1.0689 37 151 67 23.7 35.3 92.6 83.2 96.4 60 38.1 22 31.5 26.6 16.7
178 28.8 1.0316 37 241.25 71.5 33.2 42.1 119.2 110.3 113.9 69.8 42.6 24.8 34.4 29.5 18.4
179 22 1.0477 38 187.25 69.25 27.5 38 102.7 92.7 101.9 64.7 39.5 24.7 34.8 30.3 18.1
180 16.8 1.0603 39 234.75 74.5 29.8 42.8 109.5 104.5 109.9 69.5 43.1 25.8 39.1 32.5 19.9
181 25.8 1.0387 39 219.25 74.25 28 40 108.5 104.6 109.8 68.1 42.8 24.1 35.6 29 19
182 0 1.1089 40 118.5 68 18.1 33.8 79.3 69.4 85 47.2 33.5 20.2 27.7 24.6 16.5
183 11.9 1.0725 40 145.75 67.25 22.7 35.5 95.5 83.6 91.6 54.1 36.2 21.8 31.4 28.3 17.2
184 12.4 1.0713 40 159.25 69.75 23 35.3 92.3 86.8 96.1 58 39.4 22.7 30 26.4 17.4
185 17.4 1.0587 40 170.5 74.25 21.8 37.7 98.9 90.4 95.5 55.4 38.9 22.4 30.5 28.9 17.7
186 9.2 1.0794 40 167.5 71.5 23.1 39.4 89.5 83.7 98.1 57.3 39.7 22.6 32.9 29.3 18.2
187 23 1.0453 41 232.75 74.25 29.7 41.9 117.5 109.3 108.8 67.7 41.3 24.7 37.2 31.8 20
188 20.1 1.0524 41 210.5 72 28.6 38.5 107.4 98.9 104.1 63.5 39.8 23.5 36.4 30.4 19.1
189 20.2 1.052 41 202.25 72.5 27 40.8 109.2 98 101.8 62.8 41.3 24.8 36.6 32.4 18.8
190 23.8 1.0434 41 185 68.25 28 38 103.4 101.2 103.1 61.5 40.4 22.9 33.4 29.2 18.5
191 11.8 1.0728 41 153 69.25 22.5 36.4 91.4 80.6 92.3 54.3 36.3 21.8 29.6 27.3 17.9
192 36.5 1.014 42 244.25 76 29.8 41.8 115.2 113.7 112.4 68.5 45 25.5 37.1 31.2 19.9
193 16 1.0624 42 193.5 70.5 27.4 40.7 104.9 94.1 102.7 60.6 38.6 24.7 34 30.1 18.7
194 24 1.0429 42 224.75 74.75 28.3 38.5 106.7 105.7 111.8 65.3 43.3 26 33.7 29.9 18.5
195 22.3 1.047 42 162.75 72.75 21.6 35.4 92.2 85.6 96.5 60.2 38.9 22.4 31.7 27.1 17.1
196 24.8 1.0411 42 180 68.25 27.2 38.5 101.6 96.6 100.6 61.1 38.4 24.1 32.9 29.8 18.8
197 21.5 1.0488 42 156.25 69 23.1 35.5 97.8 86 96.2 57.7 38.6 24 31.2 27.3 17.4
198 17.6 1.0583 42 168 71.5 23.1 36.5 92 89.7 101 62.3 38 22.3 30.8 27.8 16.9
199 7.3 1.0841 42 167.25 72.75 22.3 37.6 94 78 99 57.5 40 22.5 30.6 30 18.5
200 22.6 1.0462 43 170.75 67.5 26.4 37.4 103.7 89.7 94.2 58.5 39 24.1 33.8 28.8 18.8
201 12.5 1.0709 43 178.25 70.25 25.4 37.8 102.7 89.2 99.2 60.2 39.2 23.8 31.7 28.4 18.6
202 21.7 1.0484 43 150 69.25 22 35.2 91.1 85.7 96.9 55.5 35.7 22 29.4 26.6 17.4
203 27.7 1.034 43 200.5 71.5 27.6 37.9 107.2 103.1 105.5 68.8 38.3 23.7 32.1 28.9 18.7
204 6.8 1.0854 44 184 74 23.7 37.9 100.8 89.1 102.6 60.6 39 24 32.9 29.2 18.4
205 33.4 1.0209 44 223 69.75 32.3 40.9 121.6 113.9 107.1 63.5 40.3 21.8 34.8 30.7 17.4
206 16.6 1.061 44 208.75 73 27.6 41.9 105.6 96.3 102 63.3 39.8 24.1 37.3 23.1 19.4
207 31.7 1.025 44 166 65.5 27.2 39.1 100.6 93.9 100.1 58.9 37.6 21.4 33.1 29.5 17.3
208 31.5 1.0254 47 195 72.5 26.1 40.2 102.7 101.3 101.7 60.7 39.4 23.3 36.7 31.6 18.4
209 10.1 1.0771 47 160.5 70.25 22.9 36 99.8 83.9 91.8 53 36.2 22.5 31.4 27.5 17.7
210 11.3 1.0742 47 159.75 70.75 22.5 34.5 92.9 84.4 94 56 38.2 22.6 29 26.2 17.6
211 7.8 1.0829 49 140.5 68 21.4 35.8 91.2 79.4 89 51.1 35 21.7 30.9 28.8 17.4
212 26.4 1.0373 49 216.25 74.5 27.4 40.2 115.6 104 109 63.7 40.3 23.2 36.8 31 18.9
213 19.3 1.0543 49 168.25 71.75 23 38.3 98.3 89.7 99.1 56.3 38.8 23 29.5 27.9 18.6
214 18.5 1.0561 50 194.75 70.75 27.4 39 103.7 97.6 104.2 60 40.9 25.5 32.7 30 19
215 19.3 1.0543 50 172.75 73 22.8 37.4 98.7 87.6 96.1 57.1 38.1 21.8 28.6 26.7 18
216 45.1 0.995 51 219 64 37.6 41.2 119.8 122.1 112.8 62.5 36.9 23.6 34.7 29.1 18.4
217 13.8 1.0678 51 149.25 69.75 21.6 34.8 92.8 81.1 96.3 53.8 36.5 21.5 31.3 26.3 17.8
218 8.2 1.0819 51 154.5 70 22.2 36.9 93.3 81.5 94.4 54.7 39 22.6 27.5 25.9 18.6
219 23.9 1.0433 52 199.25 71.75 27.2 39.4 106.8 100 105 63.9 39.2 22.9 35.7 30.4 19.2
220 15.1 1.0646 53 154.5 69.25 22.7 37.6 93.9 88.7 94.5 53.7 36.2 22 28.5 25.7 17.1
221 12.7 1.0706 54 153.25 70.5 24.5 38.5 99 91.8 96.2 57.7 38.1 23.9 31.4 29.9 18.9
222 25.3 1.0399 54 230 72.25 31 42.5 119.9 110.4 105.5 64.2 42.7 27 38.4 32 19.6
223 11.9 1.0726 54 161.75 67.5 25 37.4 94.2 87.6 95.6 59.7 40.2 23.4 27.9 27 17.8
224 6.1 1.0874 55 142.25 67.25 22.2 35.2 92.7 82.8 91.9 54.4 35.2 22.5 29.4 26.8 17
225 11.3 1.074 55 179.75 68.75 26.8 41.1 106.9 95.3 98.2 57.4 37.1 21.8 34.1 31.1 19.2
226 12.8 1.0703 55 126.5 66.75 20 33.4 88.8 78.2 87.5 50.8 33 19.7 25.3 22 15.8
227 14.9 1.065 55 169.5 68.25 25.6 37.2 101.7 91.1 97.1 56.6 38.5 22.6 33.4 29.3 18.8
228 24.5 1.0418 55 198.5 74.25 25.3 38.3 105.3 96.7 106.6 64 42.6 23.4 33.2 30 18.4
229 15 1.0647 56 174.5 69.5 25.4 38.1 104 89.4 98.4 58.4 37.4 22.5 34.6 30.1 18.8
230 16.9 1.0601 56 167.75 68.5 25.2 37.4 98.6 93 97 55.4 38.8 23.2 32.4 29.7 19
231 11.1 1.0745 57 147.75 65.75 24.1 35.2 99.6 86.4 90.1 53 35 21.3 31.7 27.3 16.9
232 16.1 1.062 57 182.25 71.75 24.9 39.4 103.4 96.7 100.7 59.3 38.6 22.8 31.8 29.1 19
233 15.5 1.0636 58 175.5 71.5 24.2 38 100.2 88.1 97.8 57.1 38.9 23.6 30.9 29.6 18
234 25.9 1.0384 58 161.75 67.25 25.2 35.1 94.9 94.9 100.2 56.8 35.9 21 27.8 26.1 17.6
235 25.5 1.0403 60 157.75 67.5 24.1 40.4 97.2 93.3 94 54.3 35.7 21 31.3 28.7 18.3
236 18.4 1.0563 62 168.75 67.5 26.1 38.3 104.7 95.6 93.7 54.4 37.1 22.7 30.3 26.3 18.3
237 24 1.0424 62 191.5 72.25 25.8 40.6 104 98.2 101.1 59.3 40.3 23 32.6 28.5 19
238 26.4 1.0372 63 219.15 69.5 31.9 40.2 117.6 113.8 111.8 63.4 41.1 22.3 35.1 29.6 18.5
239 12.7 1.0705 64 155.25 69.5 22.6 37.9 95.8 82.8 94.5 61.2 39.1 22.3 29.8 28.9 18.3
240 28.8 1.0316 65 189.75 65.75 30.9 40.8 106.4 100.5 100.5 59.2 38.1 24 35.9 30.5 19.1
241 17 1.0599 65 127.5 65.75 20.8 34.7 93 79.7 87.6 50.7 33.4 20.1 28.5 24.8 16.5
242 33.6 1.0207 65 224.5 68.25 33.9 38.8 119.6 118 114.3 61.3 42.1 23.4 34.9 30.1 19.4
243 29.3 1.0304 66 234.25 72 31.8 41.4 119.7 109 109.1 63.7 42.4 24.6 35.6 30.7 19.5
244 31.4 1.0256 67 227.75 72.75 30.3 41.3 115.8 113.4 109.8 65.6 46 25.4 35.3 29.8 19.5
245 28.1 1.0334 67 199.5 68.5 29.9 40.7 118.3 106.1 101.6 58.2 38.8 24.1 32.1 29.3 18.5
246 15.3 1.0641 68 155.5 69.25 22.8 36.3 97.4 84.3 94.4 54.3 37.5 22.6 29.2 27.3 18.5
247 29.1 1.0308 69 215.5 70.5 30.5 40.8 113.7 107.6 110 63.3 44 22.6 37.5 32.6 18.8
248 11.5 1.0736 70 134.25 67 21.1 34.9 89.2 83.6 88.8 49.6 34.8 21.5 25.6 25.7 18.5
249 32.3 1.0236 72 201 69.75 29.1 40.9 108.5 105 104.5 59.6 40.8 23.2 35.2 28.6 20.1
250 28.3 1.0328 72 186.75 66 30.2 38.9 111.1 111.5 101.7 60.3 37.3 21.5 31.3 27.2 18
251 25.3 1.0399 72 190.75 70.5 27 38.9 108.3 101.3 97.8 56 41.6 22.7 30.5 29.4 19.8
252 30.7 1.0271 74 207.5 70 29.8 40.8 112.4 108.5 107.1 59.3 42.2 24.6 33.7 30 20.9

I think to solve your error, you should write:
dens1 <- density(bodydata$neck[bodydata$bodycat == "Average"], bw = 4)
So, with slightly change in your code, you can write:
h1 <- hist(bodydata$neck[bodydata$bodycat == "Athlete"], plot = FALSE, breaks = 15)
h2 <- hist(bodydata$neck[bodydata$bodycat == "Average"], plot = FALSE, breaks = 15)
h3 <- hist(bodydata$neck[bodydata$bodycat == "Obese"], plot = FALSE, breaks = 15)
plot(h1, add = FALSE, col=rgb(1,0,0,0.25), xlim = c(30,55), ylim = c(0,25),
main = "Neck for the three body categories",
xlab = "Body categories",
ylab = "Neck")
plot(h2, add = TRUE, col = rgb(0,0,1,0.25))
plot(h3, add = TRUE, col = rgb(0,1,0,0.25))
legend("topright", c("Athlete", "Average", "Obese"),
col=c(rgb(1,0,0,0.25),rgb(0,0,1,0.25),rgb(0,1,0,0.25)), lwd=15)
dens1 <- density(bodydata$neck[bodydata$bodycat == "Athlete"], bw = 4)
dens2 <- density(bodydata$neck[bodydata$bodycat == "Average"], bw = 4)
dens3 <- density(bodydata$neck[bodydata$bodycat == "Obese"], bw = 4)
lines(x = dens1$x, y = dens1$y*length(bodydata$neck[bodydata$bodycat == "Athlete"])*diff(h1$breaks)[1], lwd = 2, col = rgb(1,0,0))
lines(x = dens2$x, y = dens2$y*length(bodydata$neck[bodydata$bodycat == "Average"])*diff(h2$breaks)[1], lwd = 2, col = rgb(0,0,1))
lines(x = dens3$x, y = dens3$y*length(bodydata$neck[bodydata$bodycat == "Obese"])*diff(h3$breaks)[1], lwd = 2, col = rgb(0,1,0))
If you don't have to stay with R base plot, you can use ggplot2, to get all histograms and density plots together in fewer lines and separate them in three different panels using facet_wrap. This will improve the readibility of your graph and of your code:
library(ggplot2)
ggplot(bodydata, aes(neck, fill = bodycat))+
geom_histogram(aes(y = ..count..),color = "black", alpha = 0.25)+
geom_density(aes(y = ..count.., color = bodycat), fill = NA, alpha = 0.25)+
facet_wrap(.~bodycat)

Adding summary columns programmatically

I have dataframe X01 whose columns I should summarize with mean, max and min
> head(X01)
B01002e2 B01002e3
1 39.6 47.3
2 37.0 44.8
3 52.6 49.8
4 35.5 26.7
5 39.4 23.9
6 40.8 39.8
My objective is to add min, max, and mean following each column. So far, I have done this manually by rearranging column order, but I will soon have data with many columns which makes this approach very slow:
X01$B01002e2_min <- min(X01$B01002e2, na.rm = TRUE)
X01$B01002e2_max <- max(X01$B01002e2, na.rm = TRUE)
X01$B01002e2_mean <- mean(X01$B01002e2, na.rm = TRUE)
X01$B01002e3_min <- min(X01$B01002e3, na.rm = TRUE)
X01$B01002e3_max <- max(X01$B01002e3, na.rm = TRUE)
X01$B01002e3_mean <- mean(X01$B01002e3, na.rm = TRUE)
X01 <- X01[ , c(1,3,4,5,2,6,7,8)]
> head(X01)
B01002e2 B01002e2_min B01002e2_max B01002e2_mean B01002e3 B01002e3_min B01002e3_max
1 39.6 6 83.7 35.3427547 47.3 8.9 90.8
2 37.0 6 83.7 35.3427547 44.8 8.9 90.8
3 52.6 6 83.7 35.3427547 49.8 8.9 90.8
4 35.5 6 83.7 35.3427547 26.7 8.9 90.8
5 39.4 6 83.7 35.3427547 23.9 8.9 90.8
6 40.8 6 83.7 35.3427547 39.8 8.9 90.8
B01002e3_mean
1 37.6894248
2 37.6894248
3 37.6894248
4 37.6894248
5 37.6894248
6 37.6894248
Is there a solution in R to add these columns after each column being processed in one step, for example with addmargins() ?
dput(head(X01))
structure(list(B01002e2 = c(39.6, 37, 52.6, 35.5, 39.4, 40.8),
B01002e3 = c(47.3, 44.8, 49.8, 26.7, 23.9, 39.8)), .Names = c("B01002e2",
"B01002e3"), row.names = c(NA, 6L), class = "data.frame")

Here's a dplyr approach:
library(dplyr)
X01 %>% mutate_all(funs(max, mean, min))
B01002e2 B01002e3 B01002e2_max B01002e3_max B01002e2_mean B01002e3_mean B01002e2_min B01002e3_min
1 39.6 47.3 52.6 49.8 40.81667 38.71667 35.5 23.9
2 37.0 44.8 52.6 49.8 40.81667 38.71667 35.5 23.9
3 52.6 49.8 52.6 49.8 40.81667 38.71667 35.5 23.9
4 35.5 26.7 52.6 49.8 40.81667 38.71667 35.5 23.9
5 39.4 23.9 52.6 49.8 40.81667 38.71667 35.5 23.9
6 40.8 39.8 52.6 49.8 40.81667 38.71667 35.5 23.9
If you want to ignore NA then you can add na.rm=TRUE:
X01[3,1] = NA
X01 %>% mutate_all(funs(max, mean, min), na.rm=TRUE)
B01002e2 B01002e3 B01002e2_max B01002e3_max B01002e2_mean B01002e3_mean B01002e2_min B01002e3_min
1 39.6 47.3 40.8 49.8 38.46 38.71667 35.5 23.9
2 37.0 44.8 40.8 49.8 38.46 38.71667 35.5 23.9
3 NA 49.8 40.8 49.8 38.46 38.71667 35.5 23.9
4 35.5 26.7 40.8 49.8 38.46 38.71667 35.5 23.9
5 39.4 23.9 40.8 49.8 38.46 38.71667 35.5 23.9
6 40.8 39.8 40.8 49.8 38.46 38.71667 35.5 23.9
If you just want the summary values as a new data frame, you can do this:
X01 %>% summarise_all(funs(max, mean, min), na.rm=TRUE)
B01002e2_max B01002e3_max B01002e2_mean B01002e3_mean B01002e2_min B01002e3_min
1 40.8 49.8 38.46 38.71667 35.5 23.9

Here's an attempt using a functional approach to loop over each column and function:
funs <- c("min","max","mean")
cbind(
dat,
unlist(Map(function(f,d) lapply(d,f), mget(funs, inherits=TRUE), list(dat) ), rec=FALSE)
)
# B01002e2 B01002e3 min.B01002e2 min.B01002e3 max.B01002e2 max.B01002e3 mean.B01002e2 mean.B01002e3
#1 39.6 47.3 35.5 23.9 52.6 49.8 40.81667 38.71667
#2 37.0 44.8 35.5 23.9 52.6 49.8 40.81667 38.71667
#3 52.6 49.8 35.5 23.9 52.6 49.8 40.81667 38.71667
#4 35.5 26.7 35.5 23.9 52.6 49.8 40.81667 38.71667
#5 39.4 23.9 35.5 23.9 52.6 49.8 40.81667 38.71667
#6 40.8 39.8 35.5 23.9 52.6 49.8 40.81667 38.71667

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