Here's the data:
df <- data.frame(Jan = 2230, Feb = 2420, Mar = 2833, Apr = 2192, May = 2332, Jun = 2577, Jul = 4363, Aug = 3747, Sep = 3176, Oct = 3988, Nov = 2144, Dec = 1896)
df <- rbind(4363, 0, df)
And here's the code to build the radar chart:
radarchart(df,
pcol = '#B62682', pfcol = alpha("#E1f56E", 0.7), plwd = 2,
axistype = 1, cglcol = "lightgrey", cglty = 1,
axislabcol = "black", cglwd = 1, caxislabels=seq(0, round(max(df[,1]), 0), round(max(df[,1])/8, 0)),
calcex = 1, palcex = 1, vlcex = 1, seg = 7,
title = "Title")
Ideally, I want to change the title's font size, add a subtitle and change the order of the labels (month labels should follow a clockwise direction). If this can't be done using radarchart(), I'm open to use other libraries. With ggplot() it would be super simple using labs() to add a title and subtitle and plot.title, plot.subtitle, etc to format.
Thanks in advance!
Complete answer:
radarchart(df,
pcol = '#B62682', pfcol = alpha("#E1f56E", 0.7), plwd = 2,
axistype = 1, cglcol = "lightgrey", cglty = 1, axislabcol = "black", cglwd = 1,
caxislabels=seq(0, round(max(df[,1]), 0), round(max(df[,1])/8, 0)),
calcex = 1, palcex = 1, vlcex = 1, seg = 7)
mtext(side = 3, line = 2.5, at = 0, cex = 1.75, "Title", font = 2)
mtext(side = 3, line = 1, at = 0, cex = 1.25, "Subtitle", col = '#666664')
line is for the height,
cex works as the size of the text,
at is the position (left - negative or right - positive, 0 center)
The order actually are very simple.
You can just change the order in the data
df <- data.frame(Jan = 2230, Feb = 2420, Mar = 2833, Apr = 2192, May = 2332, Jun = 2577, Jul = 4363, Aug = 3747, Sep = 3176, Oct = 3988, Nov = 2144, Dec = 1896)
df = df[, c(12,11,10,9,8,7,6,5,4,3,2,1)] # change the order
df <- rbind(4363, 0, df)
Insted of this title = "Title" you can use this for the title font size
title=("title", vlcex=0.5)
Related
Change secondary line axis color changes send color for ggplot, but I chose to go with base R, and would like to be able to select the second y axis color.
I have the following data:
df = structure(list(A = c("Q4-17", "Q1-18", "Q2-18", "Q3-18", "Q4-18",
"Q1-19", "Q2-19", "Q3-19", "Q4-19", "Q1-20", "Q2-20", "Q3-20",
"Q4-20", "Q1-21", "Q2-21", "Q3-21", "Q4-21", "Q1-22", "Q2-22",
"Q3-22"), B = c(69.45, 71.1, 74.94, 73.87, 93.61, 91.83,
95.38, 109.8, 133.75, 125.26, 118.22, 145.65, 144.9757185, 155.3464032,
184.367033, 179.8121721, 187.235487, 189.1684376, 184.3864519,
161.5300056), C = c(70.73, 71.73, 74.33, 73.27,
95.94, 94.38, 95.38, 109.8, 115.32, 116.92, 115.9, 113.87, 106.108147,
96.84273563, 111.5150869, 110.1228567, 110.7448835, 194.9684376,
187.7241152, 167.7665553), D = c(260.3, 216.02, 203.72,
203.52, 300.96, 320.77, 330.5, 413.52, 436.7, 474.96, 463.6,
501.87, 493.8865461, 497.1760767, 514.9903459, 503.7601267, 510.8362938,
614.9915546, 603.5761107, 593.660831), E = c(NA,
NA, NA, NA, NA, NA, NA, NA, 39.237, 35.621, 32.964, NA, 152.137,
140.743023, 167.809, 170.877, 117.517, 102.691723, 88.8, 76.2445528
)), class = "data.frame", row.names = c(NA, -20L))
df = df %>%
rowwise() %>%
mutate(sums = sum(D,E, na.rm = TRUE))
df = df[8:nrow(df),]
and this to generate my plot
x <- seq(1,nrow(df),1)
y1 <- df$B
y2 <- df$D
par(mar = c(5, 4, 4, 4) + 0.3)
plot(x, y1, col = "#000000",
type = "l",
main = "title",
ylim = c(0, max(df[,2:3])),
ylab = "Y1",
xlab = "",
xaxt = "n")
axis(1,
at = seq(from = 13, by = -4, length.out = 4),
labels = df$A[seq(from = 13, by = -4, length.out = 4)])
lines(x, df$C, lty = "dashed", col = "#adadad", lwd = 2)
par(new = TRUE)
plot(x, df$sums, col = "#ffa500",
axes = FALSE, xlab = "", ylab = "", type = "l")
axis(side = 4, at = pretty(range(y2)),
ylim = c(0,max(df[,3:5], na.rm = TRUE)),
col = "#00aa00") # Add colour selection of 2nd axis
par(new = TRUE)
plot(x, df$D , col = "#0000ff",
axes = FALSE, xlab = "", ylab = "", type = "l", lwd = 1)
mtext("y2", side = 4, line = 3)
but this does not colour my complete second y axis, nor labels, nor title
does any one have any suggestions to be able to set entire y2 axis to be #00AA00 - ticks, labels, and title?
I am trying to make a contour plot and draw a line on top of it (which I can do). I then overlaid two other lines using add_trace. For some reason the two lines I add using add_trace comes out orange instead of grey even though I specify grey (line = list(color = 'grey', )
I don't know how to add my data, it is very big. Is there any obvious reason as to why the colour changes to orange? If I change the width or the dash, it works. it just doesn't want to use the grey colour!
Thank you
(plot <- plot_ly(df, x = ~A, y = ~B, z = ~Difference, zauto = FALSE, zmin = -250, zmax = 250,
type="contour",
colorbar = list(title = "", titleside='right',
tickvals=c(-250, -200, -150, -100, -50, 0, 50, 100, 150, 200, 250), len = 1),
colorscale = "RdBu",
contours = list(start = 0, end = 0, coloring='heatmap', coloring='lines'),
line = list(color = 'black', width = 2)) %>%
add_trace(z = df$C, showscale = FALSE, line = list(color = 'grey', width = 2, dash = 'dash'), contours = list(start = 0, end = 0, coloring='lines')) %>%
add_trace(z = df$C, showscale = FALSE, line = list(color = 'grey', width = 2, dash = 'solid'), contours = list(start = 0, end = 0, coloring='lines')) %>%
layout(margin = list(l = 50, r = 70, b = 50, t = 50, pad = 4),
title = "", xaxis = x, yaxis = list(title = ""), font=t))
I guess the problem in your above code is, that you aren't specifiying the trace type. Accordingly plot_ly assumes that you are adding two more contour traces. Those traces are inheriting the colorscale you defined.
To avoid this you need to specify type = "scatter", mode = "lines", inherit = FALSE.
I made a simple example based on this.
library(plotly)
fig <- plot_ly(
x = c(-9, -6, -5, -3, -1),
y = c(0, 1, 4, 5, 7),
z = matrix(c(10, 10.625, 12.5, 15.625, 20, 5.625, 6.25, 8.125, 11.25, 15.625, 2.5, 3.125, 5, 8.125, 12.5, 0.625, 1.25, 3.125,
6.25, 10.625, 0, 0.625, 2.5, 5.625, 10), nrow = 5, ncol = 5),
type = "contour", colorbar = list(title = "", titleside='right'),
colorscale = "RdBu",
line = list(color = 'black', width = 2)) %>%
add_trace(x = -1:-7, y = 1:7, type = "scatter", mode = "lines", line = list(color = 'lightgreen', width = 2, dash = 'solid'), inherit = FALSE)
fig
I was wondering given the R code for the plot below, how I can get a png file of this plot such that the plot fills all the image with no margin left?
What I have tried so far was playing with mar and oma with no success:
N = 20 ; df = N-1
par(oma = rep(0, 4), mar = rep(0, 4))
png("plot.png", width = 4, height = 5, units = "in", res = 500)
BB = curve( dt(x*sqrt(N), df)*sqrt(N), -1, 1, n = 1e4, xlab = "d",
ylab = NA, font = 2, font.lab = 2, type = "n", yaxt = "n", bty = "n", mgp = c(2, 1, -.5))
polygon(BB, col = rgb(1, 0, 0, .4), border = NA)
dev.off()
Finally, the following worked for me with the help of one of the colleagues from SO:
N = 20 ; df = N-1
par(oma = rep(0, 4), mar = c(2.5, .01, 0, .01), mgp = c(1.5, .3, 0), xpd = NA)
BB = curve( dt(x*sqrt(N), df)*sqrt(N), -1, 1, n = 1e4, xlab = "d",
ylab = NA, font = 2, font.lab = 4, type = "n", yaxt = "n",
bty = "n", cex.axis = .7, cex.lab = .9)
polygon(BB, col = rgb(1, 0, 0, .4), border = NA)
dev.copy(png, "plot.png", width = 2, height = 3, units = "in", res = 500)
dev.off()
dev.off()
I would assign a name for every circle in a Venn diagram. I have tried to change options in category but seems this is the only set I can use. I attach my code, please where is the wrong part?
goterm3 = c(1,2,3,4,5,6)
goterm2 =c(2,2,3,4,3,5)
goterm1=c(4,5,3,2,4,3,2,4)
int12 = intersect(goterm1, goterm2)
int13 = intersect(goterm1, goterm3)
int23 = intersect(goterm2, goterm3)
intall = intersect(int12, goterm3)
require(VennDiagram)
venn.plot = draw.triple.venn(length(goterm1), length(goterm2), length(goterm3),
length(int12), length(int23), length(int13),length(intall),
category = rep("ORG1, ORG2,Org",3) ,rotation = 1, reverse = FALSE, euler.d = FALSE,
scaled = FALSE, lwd = rep(2, 3), lty = rep("solid", 3),
col = rep("black", 3), fill = c("blue", "red", "green"),
alpha = rep(0.5, 3),
label.col = rep("black", 7), cex = rep(1, 7), fontface = rep("plain", 7),
fontfamily = rep("serif", 7), cat.pos = c(0, 0, 180),
cat.dist = c(0.05, 0.05, 0.025), cat.col = rep("black", 3),
cat.cex = rep(1, 3), cat.fontface = rep("plain", 3),
cat.fontfamily = rep("serif", 3),
cat.just = list(c(0.5, 1), c(0.5, 1), c(0.5, 0)), cat.default.pos = "outer",
cat.prompts = FALSE, rotation.degree = 0, rotation.centre = c(0.5, 0.5),
ind = TRUE, sep.dist = 0.05, offset = 0)
This is what I get and it does have the same labels as your categories (after I unmangled the string values for the categories:
category = c("ORG1", "ORG2","Org") # no rep needed and proper quotes
Could someone help me please to upgrade my plot?
a) In the plot, there should be print only one y-scale per row.
b) To print a more comfortable legend, that means
1) change the order of symbols and description,
2) print line in the same x-position like superpose.symbols,
3) and print symbols for the histogram.
d1 <- data.frame(x=c(NA, 13:20, NA), y = 25, z = c(rep('march', 5),
rep("april", 5)), color = c(c(rep(c("red", "green"), 2), "red"),
c(rep(c("blue", "yellow"), 2), "blue")), stringsAsFactors = FALSE)
d2 <- data.frame(x=c(NA, 20:27, NA), y = 23, z = c(rep('may', 5),
rep("june", 5)), color = c(c(rep(c("blue", "red"), 2), "red"),
c(rep(c("blue", "yellow"), 2), "blue")), stringsAsFactors = FALSE)
d1<-rbind(d1,d2)
sup.sym <- trellis.par.get("superpose.symbol")
sup.sym$alpha<-c(1, 0, 0, 0, 0, 0, 0)
sup.sym$col<-c(1,2,3,4,5,6,7)
sup.lin <- trellis.par.get("superpose.line")
sup.lin$col<-c(1,2,7,5,5,6,7)
sup.lin$alpha<-c(0, 1, 1, 1, 0, 0, 0)
settings<-list(superpose.symbol = sup.sym,superpose.line = sup.lin)
xyplot(y ~ x | factor(z), data = d1
,ylim = list( c(22, 26),c(22, 26), c(0, 1),c(0, 1) )
,layout=c(2,2)
,scales = list(y = list( relation = "free" ))
,par.settings = settings
,auto.key = list(text = c("A","B","C", "D")
,space = "right"
,lines = TRUE
)
,panel = function(x, y, subscripts) {
if(panel.number()>2){
panel.histogram(x,breaks=3)
}else{
panel.xyplot(x = x, y = y,
subscripts=subscripts,
col = d1[subscripts, "color"])
}
})