commands to find Avg, Max, Min in DF - r

I need to show the unique Count by Url and then show the Avg, Max, Min time that it took as different columns. Was looking at using either dplyr or sqldf.
here is what I am essentially trying to duplicate
SELECT cs-uri-stem as Url, COUNT(*) as totalRequests,
AVG(time-taken) As avgRequestDuration,
MAX(time-taken) As maxRequestDuration,
MIN(time-taken) As minRequestDuration
FROM '[LOGFILEPATH]'
GROUP BY Url
ORDER By totalRequests DESC
Head of data for reference:
> head(iislog1)
iisdate iistime csUriStem timeTaken
1 2019-05-17 03:05:39 /eACommon/SystemConfigurationService.svc/customBinding 7421
2 2019-05-17 03:07:22 /Services/2015V1/EngService.svc/customBinding 8390
3 2019-05-17 03:16:40 /eACommon/SystemConfigurationService.svc/customBinding 515
4 2019-05-17 03:17:39 /eACommon/SystemConfigurationService.svc/customBinding 505
5 2019-05-17 03:25:22 /Services/2015V1/EngService.svc/customBinding 1385
6 2019-05-17 03:31:16 /eAudIT/Services/SAPv1/EngService.svc/customBinding 1365
structure(list(iisdate = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = "2019-05-17", class = "factor"),
iistime = structure(1:6, .Label = c("03:05:39", "03:07:22",
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"12:18:00", "12:18:02", "12:18:09", "12:18:10", "12:18:14",
"12:18:15", "12:18:24", "12:18:38", "12:18:40", "12:18:41",
"20:39:39", "20:39:41", "20:48:52", "20:48:54", "20:48:55",
"20:49:01", "20:49:02", "20:49:03", "20:49:09"), class = "factor"),
csUriStem = c("/eacommon/systemconfigurationservice.svc/custombinding",
"/services/2015v1/engservice.svc/custombinding", "/eacommon/systemconfigurationservice.svc/custombinding",
"/eacommon/systemconfigurationservice.svc/custombinding",
"/services/2015v1/engservice.svc/custombinding", "/eaudit/services/sapv1/engservice.svc/custombinding"
), timeTaken = c(7421L, 8390L, 515L, 505L, 1385L, 1365L)), row.names = c(NA,
6L), class = "data.frame")
install.packages("sqldf")
library(sqldf)
#create subset of the original data
iislog1 <- iislog %>% select(iisdate,iistime,csUriStem,timeTaken)
#Find Count by Url and then Avg,Max,Min timeTaken for each Url
iislog6 <- sqldf(SELECT csUriStem AS iislog6$baseUrl FROM iislog1,
Count(*) as iislog6$totalRequests,
AVG(timeTaken) AS iislog6$avgRequestDuration,
MAX(timeTaken) AS iislog6$maxRequestDuration,
MIN(timeTaken) AS iislog6$minRequestDuration
GROUP BY iislog6$baseUrl
ORDER By iislog6$totalRequests DESC
)

I think this is what you were trying to do. I mainly used your SQL to translate it into R.
group_by is very powerfull in R and it is easy in use.
install.packages("dplyr")
library(dplyr)
iislog1 <- iislog %>% select(iisdate,iistime,csUriStem,timeTaken)
iislog6 <- group_by(iislog1, csUriStem) %>% summarise(totalRequests = n(),
avgRequestDuration = mean(timeTaken), maxRequestDuration = max(timeTaken),
minRequestDuration = min(timeTaken))
# order by
iislog6 <- arrange(iislog6, totalRequests)

There is something wrong with the dput output in the question so we used the data in the Note at the end.
The SQL syntax in the code in the question was incorrect -- it was a mix of SQL and R but the string must be pure SQL like this:
library(sqldf)
sqldf("SELECT
csUriStem AS baseUrl,
COUNT(*) AS totalRequests,
AVG(timeTaken) AS avgRequestDuration,
MAX(timeTaken) AS maxRequestDuration,
MIN(timeTaken) AS minRequestDuration
FROM iislog1
GROUP BY baseUrl
ORDER BY totalRequests DESC")
Note
This is the data used in reproducible form:
Lines <- "iisdate iistime csUriStem timeTaken
1 2019-05-17 03:05:39 /eACommon/SystemConfigurationService.svc/customBinding 7421
2 2019-05-17 03:07:22 /Services/2015V1/EngService.svc/customBinding 8390
3 2019-05-17 03:16:40 /eACommon/SystemConfigurationService.svc/customBinding 515
4 2019-05-17 03:17:39 /eACommon/SystemConfigurationService.svc/customBinding 505
5 2019-05-17 03:25:22 /Services/2015V1/EngService.svc/customBinding 1385
6 2019-05-17 03:31:16 /eAudIT/Services/SAPv1/EngService.svc/customBinding 1365"
iislog1 <- read.table(text = Lines, as.is = TRUE)

Related

ARDL model in R

I have this data frame on which I want to apply the ARDL model but every time I run it, it gives me an error. If anyone could please help me or point out what I am doing wrong would be highly appreciated. Error:'list' object cannot be coerced to type 'double' If I remove the prediction part of the code in the loop out then it runs otherwise no.
Data:
structure(list(Industrialproduction = c(1.65801981343852, 1.79541527049647,
-0.0326429293424051, 0.104752527715549, -0.992082392187777, -2.26823002723453,
-2.33809212404366, -3.02972688245404, -2.14713572609871, -1.29947561814794,
0.104752527715549, 0.228175565411677, 0.305023871901719, 0.218860619170459,
0.216531882610155, 0.139683576120113, 0.25146293101472, 0.249134194454415,
0.626389517223712, 1.13405408737005, 0.58214352257793, -0.0629165046263609,
-0.619484542539089, -0.652086854383349, 0.591458468819148, 2.0259601899666,
1.73021064680795, 0.561184893535192, 0.207216936368938, -0.489075295162048
), Householdconsumption = c(-1.5532531908672, -1.52804903107083,
-1.51957878064746, -1.50015918211582, -1.4800165134261, -1.47578138821441,
-1.46235294242126, -1.45274643889231, -1.43477298067686, -1.42299726667364,
-1.41225451003912, -1.39892935998284, -1.38694705450587, -1.37909657850372,
-1.36525494976309, -1.34924411054818, -1.33457611591258, -1.32538279533112,
-1.31143787085362, -1.30255443748276, -1.29181168084824, -1.27838323505509,
-1.27476788426463, -1.25586476441735, -1.24336598025603, -1.22942105577852,
-1.21051793593124, -1.1953334626113, -1.17581056834279, -1.15804370160108
), Investmentgrowth = c(1.47348593810751, 2.17792802452104, 2.57620375293532,
3.11977876989162, 2.03003410582649, 1.238671909303, 0.670447905897604,
0.0127091622297187, -0.222104866574793, -0.1974558801257, -0.215618291193452,
-0.31551155206609, 0.0762776009668517, 0.37206543835596, 0.593906316397791,
0.867639797490343, 1.12321086751514, 0.272172177483322, 0.191738642754705,
0.619852617923151, 0.675637166202676, 1.31910544403161, 1.23348264899792,
0.702880782804304, 1.61748791157326, 0.308496999618827, 0.395417109728784,
0.290334588551075, -0.659300047277115, -0.117022345397083), ConsumerPriceIndex = c(-2.03033282052684,
-1.98504568168304, -1.91626049909952, -1.88507218649954, -1.82055937550506,
-1.75220143008044, -1.72955786065854, -1.7026419196476, -1.65991820375721,
-1.60053223866958, -1.57447077197644, -1.53473771619839, -1.51166690961758,
-1.46381634782035, -1.46381634782035, -1.45057199589433, -1.43860935544502,
-1.40400314557381, -1.3800778646752, -1.36341561547795, -1.35188021218754,
-1.31727400231633, -1.29933004164237, -1.28394950392183, -1.24549815962049,
-1.19380246339312, -1.19380246339312, -1.18183982294381, -1.16816823385889,
-1.14595190159589), Employment = c(-1.02390309005026, -0.997493370038682,
-0.974856467171615, -0.96353801573808, -0.978629284316127, -1.00881182147222,
-1.07294971292891, -1.14840605581914, -1.21631676442034, -1.28045465587703,
-1.32950127875568, -1.38232071877884, -1.41250325593493, -1.45023142738004,
-1.5030508674032, -1.55587030742636, -1.58228002743794, -1.56341594171538,
-1.49173241596967, -1.43136734165749, -1.38232071877884, -1.34081973018921,
-1.30686437588861, -1.2691362044435, -1.24272648443192, -1.22386239870936,
-1.20499831298681, -1.19745267869778, -1.18990704440876, -1.17481577583072
), Unemploymentrate = c(-0.815370914670033, -0.815370914670033,
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0.0795302532996298, 0.463059325286628, 0.803974055941737, 1.05966010393307,
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1.21512151215122, 1.33392618941751, 3.59806932865292, 0.974163490046604,
0.125838926174496, 1.46627565982404, 3.42691990090835, -0.838323353293421,
1.97262479871176, 3.40702724042636, 4.30649410147751, 2.44866586142527,
1.93997856377279, 2.09581887638873, 4.22573890357352, 0.833278440155458,
4.15155969296095, 2.01655899140689, 1.93980755633434, 0.325693606755129,
0.796561260069754, -0.381713535919834, 2.90974405029185), NIRELAND = c(4.54545454545454,
4.94752623688156, 4.42857142857145, 2.96397628818967, 6.06731620903454,
0.0835073068893502, -1.66875260742594, -2.96987696224015, -1.18058592041975,
-0.884955752212393, -1.74107142857143, -0.545206724216265, 1.96436729100047,
-0.224014336917564, -1.84104176021554, 1.6010978956999, 1.42278253039172,
1.97993429814437, 1.29287828660979, 1.61158623060724, 2.28387751649466,
1.84005954349984, 1.79057208981284, 2.22177901874749, 2.88757950598978,
-0.731975575530031, 3.07939176281808, -0.0593031875463392, -1.05696484201158,
3.40717418194087), UK = c(5.76890543055322, 7.20302836425676,
7.39543442582184, 7.22885986848197, 3.23472252213347, 2.95766398929048,
1.20271423347285, -0.554061107319231, 0.98913965036942, 1.55113136643479,
0.373986300291293, -1.61195434757029, 1.59052858167903, 2.07573082205217,
1.17628969016684, 2.44680851063832, 2.84453345201007, 4.10010457610617,
2.88208396840793, 1.58922558922557, 3.67559326527908, 3.90013106997858,
1.36611181194425, 4.12505691303686, 2.02017257462689, 2.93167985827357,
1.54068234183715, 2.12149379408387, 0.594313861969269, 3.83755588673622
)), row.names = c(NA, 30L), class = "data.frame")
Code:
library(tidyverse)
library(GGally)
library(Amelia)
library(inspectdf)
library(ggcorrplot)
library(ggplot2)
library(reshape2)
library(tseries)
library(dplyr)
library(caret)
library(tidyverse)
library(ARDL)
library(dLagM)
library(forecast)
in_sampleARDL <- data %>%
dplyr::filter(Date < '2020-03-01')
out_sampleARDL <-data %>%
dplyr::filter(Date >= '2020-03-01')
# Model Building
# Create the formulas
indep_vars <- expression(Industrialproduction, Householdconsumption, Investmentgrowth, ConsumerPriceIndex, Employment, Unemploymentrate,
Stockmarketindex, Economicgrowth, Consumptiongrowth, Governmentexpenditure, Longtermgovernmentbondyield,
BankRate, ConsumerConfidenceIndex, RealPersonalDisposableIncome, PersonalDisposableIncome, SPPricechange,
HouseStarts, HouseCompleted, TermSpread, BuildingPermits)
dep_vars <- expression(NORTH, YORKSANDTHEHUMBER, NORTHWEST, EASTMIDS, WESTMIDS, EASTANGLIA, OUTERSEAST, OUTERMET, LONDON,
SOUTHWEST, WALES, SCOTLAND, NIRELAND, UK)
# Formulae with diff()
formulae <- unlist(lapply(dep_vars, \(x) lapply(indep_vars, \(y) bquote(.(x)~diff(.(y))))))
length(formulae)
# Without diff()
formulae2 <- unlist(lapply(dep_vars, \(x) lapply(indep_vars, \(y) bquote(.(x)~.(y)))))
length(formulae2)
result <- vector('list', length = length(formulae))
names(result) <- formulae2
# Loop for H = 4
for (i in seq_along(formulae)){
# auto_ardl
result[[i]][[1]] <- auto_ardl(formula(formulae2[[i]]),
data = in_sampleARDL, max_order = 4, selection = 'BIC')
# prediction
result[[i]][[2]] <- forecast(ardlDlm(formula = formula(formulae[[i]]), data = in_sampleARDL, p = 3),
x = out_sampleARDL |> select(sub("\\s~.*", "", formula(formulae[[i]]))) |> pull(), h = 4)
# error
result[[i]][[3]] <- mean((out_sampleARDL |> select(sub("\\s~.*", "", formula(formulae[[i]]))) |> pull() |> (\(x) x[1:4])() - result[[i]][[2]][["forecasts"]])^2)
# set names
names(result[[i]]) <- c('auto_ardl','forecast','error')
}
print(result[[i]])
traceback() shows that this error is coming from the forecast call, and that it occurs with i==1, so look at the first parameter to forecast :: ardlDlm(formula = formula(formulae[[i]]), data = in_sampleARDL, p = 3) and realize that it is not something that forecast is designed to work with. forecast was expecting an atomic numeric vector.
Looking at the output of ardlDlm(formula = formula(formulae[[1]]), data = in_sampleARDL, p = 3), it appears that you really want numeric vectors contained in the $data leaf of that much longer list and in particular probably want only the i-th column, so try this:
for (i in seq_along(formulae)){
# auto_ardl
result[[i]][[1]] <- auto_ardl(formula(formulae2[[i]]),
data = in_sampleARDL,
max_order = 4, selection = 'BIC')
# prediction
#
result[[i]][[2]] <- forecast(ardlDlm(formula = formula(formulae[[i]]),
#---------------extract one col------------------\/-\/-\/-
data = in_sampleARDL, p = 3)$data[[i]],
x = out_sampleARDL |>
select(sub("\\s~.*", "", formula(formulae[[i]]))) |>
pull(), h = 4)
# error
result[[i]][[3]] <- mean((out_sampleARDL |> select(sub("\\s~.*",
"", formula(formulae[[i]]))) |>
pull() |> (\(x) x[1:4])() -
result[[i]][[2]][["forecasts"]])^2)
# set names
names(result[[i]]) <- c('auto_ardl','forecast','error')
}
Note that you only printed the last value in the much longer result object. The last such value looks like:
print(result[[i]])
$auto_ardl
$auto_ardl$best_model
Time series regression with "ts" data:
Start = 5, End = 30
Call:
dynlm::dynlm(formula = full_formula, data = data, start = start,
end = end)
Coefficients:
(Intercept) L(UK, 1) BuildingPermits L(BuildingPermits, 1) L(BuildingPermits, 2)
1.59718 -0.04719 0.90441 -0.04269 0.19583
L(BuildingPermits, 3) L(BuildingPermits, 4)
0.63773 0.02544
$auto_ardl$best_order
[1] 1 4
$auto_ardl$top_orders
UK BuildingPermits BIC
1 1 4 90.18992
2 2 4 93.11884
3 3 4 96.02905
4 1 3 98.36867
5 4 4 99.15721
6 3 3 100.20359
7 2 3 100.53056
8 2 2 104.78506
9 1 2 104.85999
10 1 1 106.10666
$forecast
Point Forecast Lo 80 Hi 80 Lo 95 Hi 95
1 NaN NaN NaN NaN NaN
2 NaN NaN NaN NaN NaN
3 NaN NaN NaN NaN NaN
4 NaN NaN NaN NaN NaN
$error
[1] NaN

Averaging time-stamped data hourly in R

I've average distance travelled data meters for several days and times of the year. Here's how the dataset I'm working with looks like:
> print(datanet)
Date & Time [Local] meters
1: 2017-06-01 00:00:14 2.333355
2: 2017-06-01 01:00:13 6.952414
3: 2017-06-01 02:00:30 61.727543
4: 2017-06-01 03:00:15 235.873883
5: 2017-06-01 04:00:15 138.136375
---
1428: 2017-07-30 19:00:21 40.602983
1429: 2017-07-30 20:00:47 34.292888
1430: 2017-07-30 21:00:20 303.478297
1431: 2017-07-30 22:00:18 5.741059
Now, I would like to transform this table so that it provides the average distance travelled for each hour of the day from 0 to 23, based on data from multiple days. Here's the code I've been using for that purpose (additionally includes an sd column):
data_travel<-datanet %>%
mutate(
date = ymd_hms(`Date & Time [Local]`),
hour = hour(date)
) %>%
group_by(hour) %>%
summarise(
avg_meters = mean(meters),
sd_meters = sd(meters)
)
This works, but sadly the last hour of the day 23 always shows NA values:
> head(data_travel[19:24,])
# A tibble: 6 x 3
hour avg_meters sd_meters
<int> <dbl> <dbl>
1 18 57.4 109.
2 19 96.5 177.
3 20 121. 248.
4 21 141. 299.
5 22 76.4 86.4
6 23 NA NaN
Does somebody have an idea of how I could modify this code so that I also get the average distance travelled avg_meters and sd for hour 23? Any input is appreciated!
> dput(datanet[1:700,])
structure(list(`Date & Time [Local]` = structure(c(1464732013,
1464735613, 1464739229, 1464742813, 1464746413, 1464750018, 1464753629,
1464757213, 1464760813, 1464764430, 1464768013, 1464771629, 1464775214,
1464778818, 1464782429, 1464786013, 1464789623, 1464793214, 1464796813,
1464800413, 1464804029, 1464807612, 1464811213, 1464814830, 1464818411,
1464822013, 1464825629, 1464829213, 1464832812, 1464836417, 1464840021,
1464843612, 1464847211, 1464850830, 1464854412, 1464858030, 1464861629,
1464865211, 1464868814, 1464872416, 1464876030, 1464879611, 1464883212,
1464886811, 1464890430, 1464894017, 1464897611, 1464901217, 1464904830,
1464908419, 1464912011, 1464915610, 1464919207, 1464922850, 1464926410,
1464930004, 1464933623, 1464937249, 1464940811, 1464944410, 1464948011,
1464951629, 1464955218, 1464958811, 1464962430, 1464966018, 1464969610,
1464973214, 1464976848, 1464980410, 1464984010, 1464987610, 1464991230,
1464994811, 1464998409, 1465002003, 1465005610, 1465009222, 1465012817,
1465016402, 1465020030, 1465023618, 1465027214, 1465030846, 1465034419,
1465038020, 1465041690, 1465045212, 1465048849, 1465052409, 1465056029,
1465059617, 1465063209, 1465066830, 1465070410, 1465074009, 1465077630,
1465081240, 1465084804, 1465088401, 1465092010, 1465095622, 1465099222,
1465102852, 1465106449, 1465110010, 1465113612, 1465117270, 1465120849,
1465124408, 1465128011, 1465131617, 1465135230, 1465138848, 1465142408,
1465146008, 1465149612, 1465153250, 1465156808, 1465160427, 1465164016,
1465167601, 1465171229, 1465174830, 1465178415, 1465182054, 1465185656,
1465189209, 1465192807, 1465196422, 1465200029, 1465203732, 1465207230,
1465210848, 1465214408, 1465218050, 1465221629, 1465225216, 1465228823,
1465232415, 1465236015, 1465239615, 1465243256, 1465246830, 1465250414,
1465254008, 1465257629, 1465261214, 1465264814, 1465268449, 1465272007,
1465275630, 1465279255, 1465282845, 1465286460, 1465290013, 1465293617,
1465297226, 1465300814, 1465304418, 1465308029, 1465311614, 1465315214,
1465318814, 1465322429, 1465326007, 1465329607, 1465333213, 1465336813,
1465340422, 1465344013, 1465347615, 1465351230, 1465354813, 1465358413,
1465362014, 1465365630, 1465369216, 1465372830, 1465376413, 1465380013,
1465383606, 1465387230, 1465390817, 1465394430, 1465398013, 1465401613,
1465405213, 1465408829, 1465412411, 1465416013, 1465419613, 1465423229,
1465426812, 1465430412, 1465434011, 1465437614, 1465441224, 1465444812,
1465448413, 1465452013, 1465455629, 1465459213, 1465462817, 1465466430,
1465470011, 1465473611, 1465477211, 1465480830, 1465484412, 1465488012,
1465491611, 1465495230, 1465498820, 1465502426, 1465506011, 1465509606,
1465513212, 1465516830, 1465520419, 1465524003, 1465527611, 1465531227,
1465534850, 1465538403, 1465542010, 1465545612, 1465549229, 1465552811,
1465556425, 1465560011, 1465563611, 1465567227, 1465570819, 1465574430,
1465578018, 1465581610, 1465585210, 1465588830, 1465592418, 1465596009,
1465599602, 1465603209, 1465606829, 1465610450, 1465614009, 1465617609,
1465621210, 1465624817, 1465628422, 1465632017, 1465635610, 1465639210,
1465642829, 1465646417, 1465650008, 1465653630, 1465657209, 1465660813,
1465664451, 1465668003, 1465671609, 1465675228, 1465678816, 1465682409,
1465686002, 1465689608, 1465693229, 1465696816, 1465700401, 1465704008,
1465707629, 1465711217, 1465714809, 1465718429, 1465722016, 1465725608,
1465729201, 1465732830, 1465736415, 1465740024, 1465743630, 1465747215,
1465750811, 1465754430, 1465758016, 1465761607, 1465765230, 1465768828,
1465772415, 1465776016, 1465779613, 1465783260, 1465786808, 1465790414,
1465794014, 1465797659, 1465801216, 1465804807, 1465808430, 1465812030,
1465815614, 1465819220, 1465822816, 1465826408, 1465830029, 1465833613,
1465837215, 1465840829, 1465844414, 1465848008, 1465851627, 1465855213,
1465858814, 1465862414, 1465866029, 1465869607, 1465873207, 1465876814,
1465880429, 1465884015, 1465887630, 1465891207, 1465894815, 1465898429,
1465902014, 1465905614, 1465909218, 1465912824, 1465916413, 1465920013,
1465923618, 1465927229, 1465930813, 1465934413, 1465938013, 1465941613,
1465945229, 1465948811, 1465952412, 1465956022, 1465959626, 1465963214,
1465966830, 1465970412, 1465974030, 1465977606, 1465981230, 1465984813,
1465988429, 1465992012, 1465995613, 1465999229, 1466002812, 1466006404,
1466010012, 1466013626, 1466017211, 1466020830, 1466024412, 1466028012,
1466031619, 1466035211, 1466038813, 1466042430, 1466046004, 1466049612,
1466053212, 1466056830, 1466060420, 1466064026, 1466067603, 1466071211,
1466074829, 1466078410, 1466082019, 1466085619, 1466089211, 1466092804,
1466096429, 1466100011, 1466103611, 1466107230, 1466110821, 1466114422,
1466118009, 1466121611, 1466125234, 1466128803, 1466132412, 1466136027,
1466139610, 1466143210, 1466146834, 1466150410, 1466154034, 1466157609,
1466161210, 1466164834, 1466168403, 1466172007, 1466175620, 1466179202,
1466182802, 1466186433, 1466190020, 1466193609, 1466197209, 1466200802,
1466204433, 1466208009, 1466211609, 1466215202, 1466218854, 1466222419,
1466226009, 1466229634, 1466233208, 1466236811, 1466240426, 1466244008,
1466247608, 1466251234, 1466254826, 1466258409, 1466262008, 1466265609,
1466269233, 1466272808, 1466276408, 1466280011, 1466283647, 1466287216,
1466290808, 1466294408, 1466298033, 1466301601, 1466305210, 1466308825,
1466312407, 1466316009, 1466319634, 1466323208, 1466326833, 1466330408,
1466334007, 1466337633, 1466341210, 1466344834, 1466348419, 1466352015,
1466355616, 1466359223, 1466362820, 1466366415, 1466370014, 1466373622,
1466377205, 1466380815, 1466384414, 1466388033, 1466391608, 1466395206,
1466398833, 1466402415, 1466406017, 1466409634, 1466413214, 1466416817,
1466420431, 1466424008, 1466427615, 1466431234, 1466434813, 1466438434,
1466442013, 1466445614, 1466449207, 1466452835, 1466456413, 1466460013,
1466463613, 1466467213, 1466470834, 1466474413, 1466478014, 1466481633,
1466485223, 1466488806, 1466492416, 1466496035, 1466499613, 1466503206,
1466506835, 1466510412, 1466514012, 1466517635, 1466521213, 1466524823,
1466528413, 1466532010, 1466535605, 1466539234, 1466542812, 1466546405,
1466550012, 1466553612, 1466557234, 1466560813, 1466564412, 1466568035,
1466571605, 1466575214, 1466578835, 1466582412, 1466586012, 1466589605,
1466593222, 1466596811, 1466600412, 1466604005, 1466607629, 1466611212,
1466614811, 1466618430, 1466622019, 1466625612, 1466629230, 1466632820,
1466636411, 1466640010, 1466643629, 1466647213, 1466650811, 1466654430,
1466658019, 1466661619, 1466665218, 1466668812, 1466672430, 1466676011,
1466679610, 1466683220, 1466686830, 1466690419, 1466694010, 1466697614,
1466701247, 1466704818, 1466708411, 1466712028, 1466715618, 1466719203,
1466722810, 1466726423, 1466730010, 1466733609, 1466737223, 1466740817,
1466744403, 1466748031, 1466751617, 1466755210, 1466758811, 1466762411,
1466766030, 1466769619, 1466773212, 1466776847, 1466780417, 1466784009,
1466787609, 1466791231, 1466794818, 1466798409, 1466802010, 1466805609,
1466809230, 1466812817, 1466816401, 1466820009, 1466823660, 1466827217,
1466830831, 1466834409, 1466838008, 1466841619, 1466845216, 1466848808,
1466852404, 1466856021, 1466859616, 1466863232, 1466866808, 1466870408,
1466874011, 1466877630, 1466881215, 1466884818, 1466888417, 1466892019,
1466895616, 1466899207, 1466902809, 1466906430, 1466910016, 1466913611,
1466917226, 1466920821, 1466924416, 1466928008, 1466931622, 1466935231,
1466938815, 1466942431, 1466946015, 1466949629, 1466953215, 1466956808,
1466960415, 1466964030, 1466967614, 1466971215, 1466974812, 1466978430,
1466982014, 1466985614, 1466989208, 1466992830, 1466996413, 1467000014,
1467003614, 1467007230, 1467010814, 1467014415, 1467018015, 1467021630,
1467025214, 1467028830, 1467032415, 1467036030, 1467039614, 1467043206,
1467046815, 1467050430, 1467054012, 1467057613, 1467061213, 1467064814,
1467068430, 1467072013, 1467075608, 1467079250, 1467082814, 1467086414,
1467090007, 1467093629, 1467097214, 1467100824, 1467104413, 1467108013,
1467111630, 1467115213, 1467118813, 1467122429, 1467126006, 1467129613,
1467133213, 1467136829, 1467140412, 1467144013, 1467147613, 1467151214,
1467154829, 1467158410, 1467162027, 1467165605, 1467169212, 1467172813,
1467176428, 1467180012, 1467183619, 1467187220, 1467190812, 1467194405,
1467198012, 1467201629, 1467205218, 1467208830, 1467212411, 1467216004,
1467219611, 1467223211, 1467226829, 1467230411, 1467234012, 1467237612,
1467241229, 1467244811, 1467248405), class = c("POSIXct", "POSIXt"
), tzone = ""), meters = c(7.24497992499657, 4.87741163537199,
9.08560044628181, 80.6842320881314, 238.606484922097, 157.204921816723,
625.23872908032, 219.35778781259, 12.6588736944506, 93.8090439559674,
319.445131807673, 67.8036768396769, 804.804836152127, 109.434600933436,
129.949236899749, 105.911149760734, 27.9531918089091, 11.27836453714,
457.093853355937, 26.5240927781247, 19.7015020304213, 14.3532653640863,
1.25853679670009, 0.150718694512225, 1.70366003911483, 2.63870002711148,
127.037462401145, 961.452700995197, 215.04628486518, 48.3476802703997,
56.4299311045402, 71.0567210386123, 53.2157129067539, 80.4040760406296,
236.078682140782, 406.948035573002, 92.6423364709784, 403.797511366086,
323.858212895809, 65.9783289318472, 26.7161400634748, 21.4406886404941,
44.6906704150594, 36.0784092780547, 66.4678272178005, 68.0358199816987,
2.1476323514823, 3.01587341033808, 1.57380761082474, 1.71653324348141,
18.8397076847765, 184.268772826548, 61.2103183204004, 82.9010640232318,
43.7120771884048, 40.4214303580113, 220.354835462908, 77.5844706628055,
10.6522275628958, 64.6401569172547, 170.237028243589, 235.781539666942,
206.150503465281, 25.3213069661311, 36.7436253838348, 9.83110790227874,
23.3459053606757, 3.45271958972457, 1.96114320043511, 20.4049146593214,
15.2372682099889, 20.3543121890185, 42.7350584816069, 12.1313207862892,
1.11708614676525, 191.836648404227, 33.3046462595366, 166.168666618136,
31.1722631768611, 133.717766242875, 12.0334817161546, 62.2359071313657,
16.7484729490856, 109.549479467076, 438.080739581294, 37.0971614841641,
105.391252306762, 122.494788370234, 88.6622245013997, 24.3191344096727,
5.117649955497, 51.9358625225939, 47.9478783281661, 6.96463276369705,
1.75025309899143, 31.176657161161, 10.1169843733554, 26.5346636683759,
15.9584899969855, 337.838831129694, 59.7693703670957, 46.7853809521572,
16.799710673628, 39.1979373391332, 122.408881979713, 266.855999717221,
63.8055787186155, 57.9900269187913, 120.78876572575, 82.1213040340665,
105.298734249817, 161.923229191297, 28.9509612131438, 0.248722765246352,
6.42826019283635, 4.80096922046293, 7.66924438494585, 3.77931970556652,
6.16226345339552, 1.89180927192504, 2.92660299028088, 4.47513027348909,
5.3772236196912, 258.79885256986, 76.3673624568927, 227.248769639605,
119.571707120552, 35.7102849958032, 36.9949248244319, 137.90048603805,
96.6658682838857, 259.080913058415, 105.606050276669, 56.1002922989478,
85.2381765021222, 191.363093870704, 55.7981801107081, 12.9578924739909,
26.3419895578265, 14.4503596334286, 15.6675803413194, 21.9669267962415,
63.1276880372023, 5.54867147176836, 9.0179124542279, 7.13599657582419,
69.6648263961824, 352.989183299746, 263.287397250075, 253.766882591523,
209.967849272818, 73.9692977527144, 98.0159993160327, 170.190795021595,
282.190504225449, 78.6666650047386, 27.0630775295066, 332.829084995611,
194.938072897224, 102.422860453484, 17.7992858642505, 13.1266890679012,
4.58091256610204, 6.40555894626406, 2.66715489350561, 19.248878078399,
14.0807810821772, 4.57816759344819, 4.40196859830686, 10.7329317290172,
32.4528952520776, 138.596548507858, 125.547606032588, 46.3652014291144,
16.3797234392651, 10.249071010749, 248.440266699442, 304.347056271548,
154.412296810916, 46.8081932028809, 226.453483692211, 431.805061221221,
111.437754042661, 217.641929376792, 25.1923986792615, 12.2256823484931,
12.2949586884092, 31.0958526630604, 85.5575841303107, 22.7975660566324,
30.5216893316272, 35.1775681936213, 9.50846937534727, 9.76657486076715,
0.579469646956765, 266.224607309967, 188.727073099707, 292.559096086872,
9.49743703683714, 107.113753739463, 175.681846441223, 19.379648871926,
88.2778253322274, 410.496903513497, 8.97162022276979, 32.4619475881012,
73.646386222969, 75.348171202073, 90.8515841171699, 10.6200903372279,
3.02379387011622, 32.825022046837, 65.550868227495, 24.9833819842075,
77.5493346217115, 2.10544392843427, 2.32222002989636, 3.12605565461408,
1.02518236594501, 341.46710436094, 151.588096225148, 353.933570258634,
124.173972566209, 60.4110080957218, 38.5295043269143, 154.717374816579,
10.642332114307, 112.19511336859, 178.656934678561, 144.883837500965,
193.991868696415, 202.99316836535, 77.6189915466929, 0.871460936515423,
1.63576829944789, 47.5439446635587, 60.241399209101, 92.7059630247652,
1.71653312232677, 3.28998417221502, 16.9888823353554, 1.073227079111,
31.3529682130551, 98.2633746496518, 146.311948071212, 277.215271024987,
30.6004645511119, 49.4907657584358, 17.6377880041836, 517.661457540348,
581.555783536356, 1010.85341607138, 101.36421835411, 101.587448595859,
144.303729077564, 91.3938747436922, 149.518556866971, 36.3308699793953,
7.80121835979054, 23.0312990229266, 13.41048184825, 20.339107047676,
3.08847373655867, 31.7536206163432, 80.5523050297356, 5.57519986215111,
12.7301911126705, 265.400347490029, 96.389278202961, 96.4450196328944,
269.701595926116, 40.1994744716222, 185.194247845766, 132.799182823423,
92.6508846479433, 31.7196753780259, 82.6725380176083, 149.907487149117,
259.995942351777, 136.962271891916, 47.7342981878729, 28.0369643012698,
23.5176540297538, 85.9823208879668, 69.1793641133218, 2.10460736024825,
2.47507980743031, 1.46820616137708, 8.50065507425538, 9.43358037894557,
15.0643556352927, 160.034358372113, 401.192221112903, 208.507212166668,
16.9012427928657, 70.1561153179486, 282.055943502233, 95.7582280566781,
20.4921115795782, 224.297864971227, 248.751359316637, 63.3008262529409,
202.381548954774, 160.240208598145, 89.2596850671307, 2.41266014760612,
2.24662537954621, 92.0812846530431, 64.0782727558696, 102.539355421441,
133.192603215476, 2.19161459176181, 2.71657087565203, 2.60259248593429,
9.95223133490391, 175.102558714441, 102.128569321102, 45.1350310564478,
60.7860248161304, 166.511239966959, 32.3622524770883, 38.1126859517567,
169.914906248272, 165.51479143087, 21.6290787183546, 154.863792200668,
224.650919723327, 172.786068029272, 41.6201741515014, 40.966552071361,
60.9998953906058, 4.00012706993277, 79.9578066806101, 183.917814759389,
103.086558986388, 6.96826209073272, 5.74403906883466, 5.4856515067938,
28.6736690417882, 238.403484773501, 231.70110714268, 126.348996131178,
61.4905557699149, 104.389974082626, 246.69389506543, 79.3069202652704,
24.117595869327, 48.4779179700019, 69.4483313003939, 127.606317513607,
78.8710394107804, 98.1528155665254, 128.061282053331, 3.19606373207204,
1.87066709355931, 30.3658567894746, 67.1163251638405, 32.6323314265454,
0.228514489291685, 2.59419308146204, 6.96463324671082, 31.4857435059086,
32.2152666766542, 219.54173457463, 100.503943180343, 71.9061154834901,
91.2830509779235, 155.03560958018, 98.391102232677, 27.4736388446992,
34.7344995015586, 85.1266347031687, 74.6245520597207, 24.0060703654787,
139.030754853487, 171.244448038257, 112.193936557097, 2.39299360914121,
19.4583131438491, 58.7443921590234, 14.0595780932243, 216.575414578798,
127.459683665046, 26.4468118443774, 15.7904069541748, 3.42889322639363,
18.9364897049987, 137.67183581274, 122.967226389734, 119.894430382828,
104.442282446888, 190.221376118256, 131.941577184786, 353.399746658368,
448.477151206068, 133.358287719838, 261.649707603195, 81.4006720251283,
343.002058701936, 163.91259720329, 197.994167334045, 7.30944634184061,
7.26330302571758, 32.2642168570983, 330.892281390864, 76.9551034586096,
16.5345940654105, 93.4833973060589, 2.44622725450917, 1.07860556492395,
1.93778399725422, 77.9570596409594, 94.0913633507909, 56.7576348472931,
409.330409688539, 51.8605115857434, 101.399915620214, 186.284262562234,
150.206902386026, 73.7756320461831, 29.7407716653824, 148.98703547435,
220.790713913921, 244.515597043242, 18.6165511888937, 9.90234122916165,
33.2562502415159, 156.414444934157, 13.9779124860658, 48.9122633130083,
170.372846084158, 157.591584502432, 41.3319249226387, 14.1513887931616,
6.44142678100409, 228.471931226893, 110.023055666621, 33.5052868559644,
173.194133068492, 32.3931156891464, 44.5888695638585, 57.8480536590698,
130.274156166872, 79.3730952009515, 46.5247317494093, 113.821030825373,
345.300064595988, 152.140595169695, 17.0421460982582, 6.84417297878845,
12.5696620896434, 36.6545290246341, 74.6452657675716, 217.14457420751,
165.496335573275, 22.3871316935213, 6.61421665015, 20.0410769731539,
23.7057126539467, 168.517094664878, 110.986727962072, 83.3281747496762,
7.35167504947444, 76.5528141698817, 20.6384141732761, 87.00310582216,
402.411224410847, 145.210679361704, 55.1206401339897, 446.103457643039,
95.317801637148, 198.306682822754, 88.7652010770343, 4.4779529467687,
55.2357786872407, 118.400174413319, 163.550512253059, 103.789889510405,
70.1485296476271, 44.9031868790507, 5.42285572703366, 23.2710355323781,
7.96212769344129, 37.560076557467, 210.670533114753, 104.544578996089,
438.121243591053, 56.4263114090557, 30.3428605030646, 102.704223497357,
88.0554172082872, 29.8261947342531, 21.3578133423672, 125.139532314134,
199.2412154636, 423.415414756748, 155.583267038193, 2.14393350563694,
2.77638044593597, 25.6375785864043, 176.271312482445, 188.095709294767,
162.049988299195, 28.6407159601821, 341.238744680548, 6.70617205440293,
0.685237342195351, 72.5497248411768, 411.366138460536, 14.570194300977,
35.8331305489166, 336.776755084208, 43.10843602833, 343.590748922672,
306.997839886018, 110.223009494854, 246.067728815614, 229.160642943454,
80.1932202086262, 223.436937319274, 7.33591020042729, 3.91210855110157,
0.301852508403949, 1.9831582085811, 100.093808999808, 136.307291596312,
56.0971664553408, 35.91142300096, 35.9638499452433, 2.71553679684771,
4.6621428025371, 140.593157625054, 274.807479865085, 221.786077846005,
61.483885141769, 20.3881339787884, 30.7758272593722, 96.0458882470437,
246.919746334924, 22.0033859138399, 198.28605047425, 103.814293419658,
46.5348985729046, 29.182847412964, 75.8648063336849, 13.8241139461049,
17.1286557911254, 88.1810161018373, 3.36013813866121, 69.639752829193,
677.723130883346, 41.0286431704323, 73.2159389655071, 2.97198914835809,
2.2955645498568, 77.4338889708046, 165.144080335453, 28.249849842644,
697.335948561217, 26.764915418294, 14.2190768683659, 91.7637857701146,
27.5440244171723, 16.8445374971489, 23.8566496302873, 0.981943140947041,
78.5997636834095, 162.138462101107, 44.1672067123073, 1.57379999898296,
4.52584675687701, 0.97658119252377, 0.477360675618112, 129.151103972441,
70.8307163818214, 275.971859788928, 127.881236082799, 1.170287338146,
0.866454371283992, 434.919703422169, 93.8451377376139, 207.10904118958,
46.8316256828644, 150.387134794503, 278.399451505872, 198.814569340003,
115.184928188408, 36.753170014185, 129.106822541989, 168.482550085438,
92.1323337766019, 250.394018594269, 37.1881210650176, 26.0619948566024,
2.1015758585879, 1.9337619910658, 2.5374401085012, 6.88084629859044,
240.364952743281, 23.3347433113824, 12.8301991435217, 104.664097883855,
11.9543330584122, 299.693093901171, 457.205452556256, 166.486441167246,
479.147896086039, 601.250116553193, 324.328442697521, 329.307886840488,
231.36130846456, 34.9248512789383, 159.724908476382, 310.307623928807,
665.667745992218, 440.34793375254, 47.0987434639045, 3.27176941323539,
9.70137304643561, 10.0607743796965, 3.08631438745061, 85.9070751173181,
114.552594829497, 56.4422079169895, 72.8598000828185, 49.5713482843566,
2.63222698246548, 278.660159682918, 374.155025716734, 614.896477070897,
84.7023024801914, 112.319999024275, 18.5987593461749, 82.9077768700278,
154.845742871174, 125.567795777075, 66.4893506450749, 126.741063662877,
82.2411837719443, 756.335890510717, 73.1151790189073, 3.5922959646701,
8.41573329417288, 4.41473763601453, 2.12491629471561, 57.10162180489,
51.9326111578832, 58.8698849597487, 64.1069702907545, 25.653260586019,
2.25452824419408, 133.78927961757, 341.7548293499, 14.113318950603,
64.7040755111393, 74.5271989167769, 407.725534601351, 309.316524308558,
20.2280966869265, 23.8884632436018, 20.0051667649045, 23.3715363806949,
21.8895053097727, 284.299801015909, 133.058636731235, 9.13435639512076,
8.93531290420054, 6.97575634977357, 38.5847487365879, 322.899303421944,
7.43662008052574, 31.3472739232612, 90.172402886085, 13.1780473878919,
11.8113106256799, 95.4868454357865, 111.151536039587, 62.3434590358668,
25.3913623754508, 152.028407407367, 140.924105429548, 110.376776160796,
21.9269046506022, 282.56001268775, 26.9210719144184, 88.3343050027196,
291.612562587322, 164.906755082596, 116.426543798048, 16.3087551310383,
6.52751999940019, 9.01631759743765, 16.1907026689521, 16.5315572289726,
1.88226712179479, 18.0388366074334, 48.3907627589146, 1.49068315465064,
9.44594654212787, 730.702774263893)), row.names = c(NA, -700L
), class = c("data.table", "data.frame"), .internal.selfref = <pointer: 0x0000000002641ef0>)
```
Your meters field might have NA values.
Hence adding na.rm = T to mean and sd functions will solve this.

Unchanging the name of the rows

So, I had to change the name of the rows to calculate the Anova. Now I'd like to bring back the previous names of the rows. Is there any way to do it ? Data:
head(tbl_reo)
id Sequence variable value pv
75 AAAAGAAAVANQGKK BiotinControl1 3893050.50 0.8523174
192 AAAAGAAAVANQGKK BiotinControl2 900604.61 0.8523174
3770 AAFTKLDQVWGSE BiotinControl3 90008.14 0.8523174
934 AAIKFIKFINPKINDGE BiotinTreatment1 656399.20 0.8523174
1012 AAIKFIKFINPKINDGE BiotinTreatment2 359937.85 0.8523174
1970 AAIKFIKFINPKINDGE BiotinTreatment3 447089.35 0.8523174
Code:
levels(tbl_reo$variable) <- c("Control","Control","Control","Treat","Treat","Treat")
New data:
head(tbl_reo)
id Sequence variable value pv
75 AAAAGAAAVANQGKK Control 893050.50 0.8523174
192 AAAAGAAAVANQGKK Control 900604.61 0.8523174
3770 AAFTKLDQVWGSE Control 90008.14 0.8523174
934 AAIKFIKFINPKINDGE Treat 656399.20 0.8523174
1012 AAIKFIKFINPKINDGE Treat 359937.85 0.8523174
1970 AAIKFIKFINPKINDGE Treat 447089.35 0.8523174
No idea if it's necessary to use dput on such big data, but here you go.
> dput(head(tbl_reo,4))
structure(list(id = c(75L, 192L, 3770L, 934L), Sequence = structure(c(1L,
1L, 3L, 5L), .Label = c("AAAAGAAAVANQGKK", "AAANILFSDHAD", "AAFTKLDQVWGSE",
"AAIELRE", "AAIKFIKFINPKINDGE", "AAIYKLLKSHFRNE", "AAKKFEE",
"AAKYFRE", "AANVKKTLVE", "AARAGELLKE", "AARDSKSPIILQTSNGGAAYFAGKGISNE",
"AAVKARVASIDE", "AAVKASAPGSVILLE", "AEKLKAE", "AEQVKKE", "AFAKRQGKE",
"AFGSGTAAVVSPIKE", "AGIPAGVVNILPGSGRVVGE", "AGISKDGQTRE", "AGSHGKDAWGVFRVHAFE",
"AHSFSSSLASAE", "AIDALNGMLLNGQE", "AITYSWTLLTE", "AKAKKAAKKAANAKQQQE",
"AKALVAQGVKFIAE", "AKAQGVAVQLKRQPAQPRE", "AKIGKKVE", "AKKVVKKAFEE",
"AKNKKYALDIIKE", "ALANAGVTDIVLAVNYRPE", "ALDFFARGLVKSPIKVVGLSTLPE",
"ALFHPSVLGLE", "ALKIWKRFRE", "ALKPDSQKSYAE", "ALLLKVNQIGTLSE",
"ALRIGSE", "ALRLVE", "AMRIGSE", "ANIIKLVE", "ANNKWNKLFSE", "ANVTGLRDAMFKGE",
"AQKVRDQITSLKE", "AQRVQAKNQLE", "ARINFGIEKAKE", "ASAGIQLSPKFVKLVSWYDNE",
"ASFVLPTWAAKE", "ASKLAAYNKKSTISARE", "ATSSIVMFSLNE", "ATTNAPWYKGWEKE",
"ATVGAGLPIISFLRE", "AVDATHLAE", "AVIRLSKE", "AVSKVYARSVYDSRGNPTVE",
"AVVTVPAYFNDSQRQATKD", "AVWYGPPKAANLGGVAVSGLE", "AWFPYQKE", "AYSPFGSANAPLLKE",
"DGWVPGKNLFTVE", "DHSFINYKQNVE", "DILYKIYKGVSE", "DLYQTFARTVE",
"DNVKAHPRIE", "DQVRNYVMQYIQE", "DSVYLAKLAE", "DVHNLFTYAKE", "DVKISAGTLLKGTE",
"DVQKFRHE", "EAVAKAAE", "EKPLFLVFHGGSGSTVQE", "EQRPGTPLFTVKAYLPVNE",
"ERIAALE", "FAKSLPRLDGLSVQE", "FALKHFPDYE", "FAPYGTITSAKVMRTE",
"FASLFPLKQAPAFLGPKGLKLTE", "FEQKNAGGVGE", "FFIDRPE", "FFIRDTKNLE",
"FGINTTVQE", "FGNRPMILHQIE", "FGVTKARWPAKSVKFVQGLLQNAAANAE",
"FIFSKYQILE", "FKMAKPE", "FKSMIKNNE", "FKTKYNSDPYQLE", "FLAADKE",
"FLKKILVDNKLE", "FLLSYGKE", "FMIAPTGAKTFAE", "FMISQLGLQKKNIKIHGF",
"FNRGLALE", "FNSQPDYRE", "FQKDAKRFE", "FQKTGPFE", "FRNGMINVSPIGRNASTEE",
"FRTASAQLE", "FSGSLLRSKFNTSNE", "FSRWFNHIASKADE", "FSTNVKDE",
"FTADGKVKPE", "FTPETPSPLIGILE", "FVADGLLQGFGNE", "FVAYPIQLLVTKE",
"FVAYPIQLVVTKE", "FVDIINSRN", "FVSSKHGSVSAE", "FYKSLKLPYRIVGIVSGE",
"GAAPGGFPGGAPPAPE", "GAIWNINSFDQWGVE", "GARYGPSLMPGGSEE", "GEKTMGAKITKSLE",
"GGLGPINIPLLADTNHSLSRD", "GGTLIGTARSME", "GGVAPNIQTAEE", "GGVIIITHSAE",
"GIFSGTLSYIFNE", "GIKVPIHIVQE", "GILQRWTKGFDIPNIE", "GILQRWTKGFDIPNVE",
"GILVASPFVELE", "GIPAGWQGLDNGPE", "GIPPDQQRLIFAGKQLE", "GISKKTRIAGVVYHPSNNE",
"GKKIATYQE", "GKLKGVLGYTE", "GLDKIFQE", "GLGWGNNASAAIQRVGLGE",
"GLNHLPVQKQIVE", "GMMANGIAAGGQLTTTTE", "GMRWAGNANE", "GNDIHALAAKLLQE",
"GQALKKKKGKSAE", "GRGINSSYAVWNDVTGKAHE", "GRHSGYGKRKGTRE", "GSDVLNTWKKE",
"GSRKVDGQKVKASKE", "GTAVSQADVTVFKAFQSAYPE", "GTERSAYYTWAAE",
"GTRAVTKYSSSTQA", "GVVLGVEKRATSPLLE", "GWGTPHIKPYGNLSLDPSACVFHYAFE",
"GYSGVEVRVTPTKTE", "GYVGRTQPKKGGEGE", "GYWNGKITVDE", "HDHAGVPLKISPPVVAYRE",
"HIIQAKADAQRE", "HIVPGTYIQE", "HKFAIPAINVTSSSTAVAALE", "HKVVNGNSADAAYAQVE",
"HLQPHFTTNDGLE", "HNLRVISE", "HQIRAKFVE", "HQKYTREQVGCKE", "IAKLNIPTGIPLVFE",
"IAQHIFTKLNSNGYLEE", "IDASKPVKLTLLISE", "IDPINALQAAME", "IDVAWLKANAKE",
"IEAISSPLMGIFE", "IFDANVQRLKE", "IFFKIKKTTPLRRLME", "IFGGYLYFAQAPSAAE",
"IFGGYLYFAQAPSAAEFHTE", "IFGPVVTVAKFKTLEE", "IFGPVVTVTKFKSADE",
"IFLHSLPVKE", "IFSTYADNQPGVLIQVFE", "IGATTSVFPFNKSMIEYLE", "IGNSGMFRPEMLE",
"IGSLTRQGAKGGLLE", "IHPLLPQDE", "IIAGNVATRE", "IIGGTTRIPTLKQSISE",
"IIKKNFDLRPGVLVKE", "IISNAKGQVVGSIIALDRQE", "IKGFFSFATQKLDE",
"IKHLPFNVVNKDGKPAVE", "IKKVVKAAAE", "IKLFNKWSFEE", "IKLVKLIQE",
"ILIVTKDGVRKE", "ILKIVPGRVSTE", "ILKKLDE", "ILLARNLI", "ILNKLALRILKNE",
"ILNSQAPEE", "ILSKLASAGATE", "ILWRQKE", "IMLPVFDAPQNLVE", "IMLQLGIPREE",
"IMLWNLAAKKAMYTLSAQDE", "INLPFITADASGPKHINMKFSRAQFE", "INLWFKKEE",
"IQLNGGSISE", "IQPRANIQLDFPE", "IRVFQGE", "ISAMVLTKMKE", "ISDTMWPGQAMTLKVE",
"ISDVFAKWNNGVLD", "ISLAAFGRKE", "ISTMIRWGLKPYLFVLNNDGYTIE", "ITDIKQFLE",
"ITHPTIVDGWFRE", "ITLGKYLFE", "ITQLMSLIINTVYSNKE", "ITVDAPKAHE",
"ITYLNNRAAAEYE", "IVERLNTASIPE", "IVFASPPRKSDGKVSPE", "IVFNMSREE",
"IVNLTLPDGTVRQGQVLE", "IVPKLME", "IVRVNKNAPAVE", "IVSRFKTE",
"IYEKME", "IYFSLNNGVRIPALGLGTANPHEKLAE", "IYNHIQLRE", "IYNHIQLREE",
"IYPYGSRGPKGLKE", "KAAKVTKAAQKAAKK", "KAALQTYLPKIKE", "KAEQVFQNVKNILAE",
"KAITYSHAAKE", "KAKIGQKE", "KAKKANNPQHSITKDE", "KALTYTPPKKQKAEKPKAE",
"KAQRAPLEE", "KAVAYWKTLKTDE", "KDFATFAKE", "KDYASVVPPRHNE", "KEKLTQQKKE",
"KFAAGTKALLDE", "KFINSEIE", "KFNAVPIFLSDE", "KFSERLLNE", "KGAQTYVKKVIGSFKDWE",
"KGCDIIVKNHE", "KGLLSATQFTQPALTLME", "KGLSKKGGNIPMIPGWVMDFPTGKE",
"KGQIVGRYVVDTSK", "KGTGKSNKITITNDKGRLSKE", "KGVFRSIVPSGASTGVHE",
"KGVFRSIVPSGASTGVHEALE", "KGVITTQAE", "KGWVPVTKLGRLVKAGKITTIEE",
"KIFTVPTETLQAVTKHFISE", "KIGDLNFLIGPKLYE", "KKAADALLLKVNQIGTLSE",
"KKAGKTLDVVE", "KKAPAAAPAASKKKEE", "KKIDLASIRE", "KKPKTKKVKEE",
"KKQAIRSKQE", "KKTISLKTPLKTLVILHSDE", "KKVYPDVLYTSKLSRAIQTANIALE",
"KKYIATIGVE", "KLAAQRKAE", "KLIHGPKAQYNE", "KLIHNDSSYNHE", "KLKAAYSYMFDSLRE",
"KLKAERE", "KLKKVLSANTNAPFSVE", "KLSGIANNRDE", "KLVAVLK", "KLYVGRAQKKNE",
"KMIKPKEGRIE", "KMSSGYYLGE", "KMSTRAAPFEQRLPE", "KNLFTGWVDVKLSAKGQQE",
"KNLKPLAIIKGWGE", "KNMDAATALVGSGPAFVLLMLE", "KNVPLYQHLAD", "KQLYSFDLE",
"KQNLLAVE", "KRVSGMFLGE", "KSPFLDALKAKNFE", "KTFVNVAKPFHKE",
"KTKLQGMLNKAEE", "KTMGAKITKSLE", "KTQAFKKHVDE", "KTVRKHLERQGWIE",
"KVFNAYPAARE", "KVGLRLSPYGVFNSMSGGAE", "KVILKMKE", "KVIRFQEE",
"KVSVLKALGAE", "KYFPGLLRATNE", "KYSLAPVAKE", "LAKKQKKLE", "LDALIAQGRE",
"LDASNKAAKE", "LDLARPIYLPTASYGHFTNQE", "LDTAQKHID", "LDTIRNME",
"LEARIPE", "LFAKFGPIVSASLE", "LFAKHGE", "LFDTHRVIVNE", "LFLKQLVVGGLDRVYE",
"LFRSIGGE", "LGAVALKGALAKVPE", "LGAVNLHE", "LGDKAVYAGE", "LGDNAVFAGE",
"LGGEKKQKGQALQF", "LGGKSPNIVFADAE", "LGGTVVSLSDSKGCIISE", "LGILPRDILTKE",
"LGIYSHE", "LGKGSFKYAWVLD", "LGKVLAKVIGKE", "LGMLAGADRVE", "LGTPFGVTIDFE",
"LHGNAKKAAEE", "LICSYRSKIETE", "LIGGSADLTPSNLTRWKE", "LIHQNEVPLVLLSSGVGVTPLLAMLE",
"LIHSKVGGE", "LIKLTGKLIE", "LILNGGFSPLTGFLNE", "LINNLGTIAKSGTKAFME",
"LKADLRPLQIKSIRE", "LKAHNINVVDK", "LKAQSKPHVGDE", "LKHLVGPEKAAE",
"LKIQRPLHE", "LKKKGILFVGSGVSGGEE", "LKKQKTAE", "LKKQQKEAE", "LKKSANVGKKKE",
"LKPTVILKLLKE", "LKRAIDLNKE", "LKRIMINCFNE", "LKRIPE", "LKTNGKFQVDKSIIE",
"LKYFGKALE", "LLAAFKAYLE", "LLAVPVVKGRKTEKE", "LLAYQFASPVRWIE",
"LLESPNNKVVPATNQIE", "LLKTNRISNE", "LLKTNRISNEQYE", "LLLLDVAPLSLGIE",
"LLLQQRATE", "LLRLVLLE", "LMAKLANDSPLAIE", "LNAATGSKTSLYDKKE",
"LNAAYAADGYARIKGMSCIITTFGVGE", "LNKGLTKKGGNIPMIPGWVMEFPTGKE",
"LNNAAAKKYDLE", "LNQLLKLVSE", "LPAWSKLQKIYE", "LPGVAFLSEKK",
"LPKNSTSSKDKKKKN", "LQAQLDYLNAE", "LQDIANPIMSKLYQAGGAPGGAAGGAPGGFPGGAPPAPE",
"LQGKLTGMAFRVPTVD", "LQGKLTGMAFRVPTVDVSVVD", "LRPLQFKSIRE", "LRQATGGQAFPQMVFD",
"LSALNGIAGSYAE", "LSFALIHKE", "LSFPFEWAFAGTNE", "LSGIPPAPRGVPQIE",
"LSKISGVDSSLIFPALE", "LSKSKTSPYVLPVPFLNVLNGGSHAGGALALQE", "LSLLFNVIPDRYTKYD",
"LSNVINMFFE", "LSQGTWLNKPKSVFQE", "LSRIGEFE", "LTQFPAFVTPMGKGSIDE",
"LTQLKKE", "LTSLTDYVTRMPE", "LTVKLNKE", "LVARVQGGEE", "LVFGQTFTDHMLTIPWSAKE",
"LVGRINGQFGTVE", "LVILGDSNVVRE", "LVKVGHDNLVGE", "LVRDNKLIGNFTLAGIPPAPKGVPQIE",
"LVRFSYGQDLE", "LVSLPNIILTPHIGGSTEE", "LVTAPLDGTILE", "LYGNIVMSGGTTMFPGIAE",
"LYGTAIGARSQGAKTYLE", "LYPGRPLAIALD", "LYPGRPLAIALDTKGPE", "LYSTSSSSTSSSATKN",
"MATLYDGLE", "MAVAIKKE", "MAVKFGKNAF", "MFFVSKVMNNE", "MFNDFLNAGAE",
"MGQKKAPDGRIVE", "MIGSVVGIYNGKAFNQVE", "MIGSVVGIYNGKAFNQVEIRPE",
"MIISSPSDGQVKE", "MIVLHLPSPVTAQAYRAE", "MKPTSIEKE", "MLAQDKLVAE",
"MLGHYLGE", "MLGNWSFGDYFKKE", "MLNRISPKILDE", "MLRAAGKE", "MNNIIAASRRH",
"MPPQIPNE", "MQTAAQSSSIE", "MQTEIKE", "NAHLKKNFKPQGSIE", "NALKLAKWLE",
"NAVDRLLVE", "NFAPFLKTILPE", "NFIQSIME", "NGFINNPIVISPTTTVGE",
"NGHSPSEAFNE", "NGITFPKDAPSPFIFKTLE", "NGIVTYAAKE", "NGLLSFVQYVIAPIQE",
"NGLTAYRLGKE", "NGSFLLYIDRHLVHE", "NGTVTAANASPINDGAAAVILVSE",
"NGVAKGSFKD", "NISNNYMIGAINAE", "NKERILTE", "NKIIRMPLVE", "NKIVRKPLME",
"NKKVIITGAPAAFSPTCTVSHIPGYINYLDE", "NKVQYIAGARPWTHVQKVDIALPCATQNE",
"NKVSPADAAKKAL", "NLHILE", "NLKDTSSGGVTHANE", "NLKKGSTVTSNGLNWE",
"NLKPSKPSYYLDPE", "NLLPLQSGIGNIANAVIE", "NLTVNPNVNE", "NMKLKLIEPLRE",
"NNIFNMVVE", "NNIFNMVVEIPRWTNAKLE", "NNMLHGNTMTVTGDTLAE", "NNYKKRLLGTAFKSSPFGGSSHAKGIVLE",
"NQGLKTATYPYWANE", "NQQGVNNFDE", "NRGIKVANPVWSTIPFISE", "NRKISAVSTYFE",
"NRNVGKTLVNKSTGLKNASDALKGRVVE", "NRNVGKTLVNKSTGLKSASDALKGRVVE",
"NRVKSDMLKE", "NSLLSSGTSQDSLRE", "NTQLMNRDNIE", "NTSLSPKFVYQGE",
"NVKTDSRNMPVKE", "NVQLYNGFVFHTGSLEE", "NVQNGEVRFE", "NVRDKGNSALLE",
"NVSSNIVKNAE", "NYNLLDTSGVAKVIE", "NYTVERVNE", "PKLVLVRHGQSE",
"PKLVLVRHGQSEWNE", "QAKLTAATNAKQ", "QAVGGIYSVLNKKRGQVVSE", "QDKKKKSNH",
"QDPSKSKVVVFE", "QDVPLIVPVVNPE", "QGAQVLFASTDSE", "QGKPYISLPKGKGIKLSIAEE",
"QGLKIDGPGFE", "QHPRYGGVYVGTLSKPE", "QHPRYGGVYVGTLSKPEVKE", "QISSMVLGKMKE",
"QIVYALKLPGIIHIDAAE", "QLADYLIGVQY", "QLASQLVDLKKE", "QLGIHYE",
"QLYKNDSNNNNNNNGNNAE", "QQGKNATVSVEE", "QRPGTPLFTVKAYLPVNE",
"QRTKVEHVRE", "QSPRPGQQAFE", "QSPYVSWVSYPGLASHSHHE", "QSTKFGTEIITE",
"QTYKKPTGGIVTVRSE", "QVADISSAKVNFKSLE", "QVAKWVNLAQKE", "RAVPHGKWQDE",
"RDLIKKKTKNNE", "RFLNVFPKLVEE", "RGEIKKGE", "RGLPVKLTYTDNKTSKE",
"RHIQVGDGLE", "RLAIVGVE", "RLLWYLARE", "RLNTASIPE", "RLNTASIPENVE",
"RLTSLNVVAGSDLRRTSIIGTIGPKTNNPE", "RLVAIAEQD", "RMHVLKKQYE",
"RNAAYQKE", "RNAAYQKEYE", "RNKIHQYLFQE", "RQLNAVLE", "RQLNAVLEE",
"RTSLFLNLANDPTIE", "RTVLFPIKYHE", "RVKANAAKRAE", "RYKLVPGIFADVKNLKE",
"RYKYVDPNVLPE", "RYVFLLDPMLATGGSAIMATE", "SALSYAALILADSE", "SCKMPQTVE",
"SDKSKWLTGVE", "SEYWPRLTKE", "SFAANWGVMVSHRSGETE", "SFQAVYNKLTGKQIVFE",
"SGSKLKFYVLHGDGVE", "SGTLGTKGNTQVIIPRLTE", "SGTVFDSSYSRGSPIAFE",
"SHIGVAKKLE", "SHLIPSATTGE", "SIAVLSAMKME", "SIAYSLKNTISE", "SIQKTKE",
"SIRVGEYNAE", "SISDSLSSKPHNFE", "SKFAKAYAQGVSKKE", "SKFKGDITWLPVRRKAYWE",
"SKLPTYTAKDSAVATRKLSE", "SLDQAWSLLRIYPKE", "SLGSPSGATKARIVVAKSGEL",
"SLIDAKTGLPKE", "SLKTGNAGPRPACGVIGLTN", "SLQNKGQEVKE", "SLRGLGGILLNPITGRRFVNE",
"SLSSKLSVQD", "SNLKKITLE", "SNPTAKLNLIWPATPIHIKKYE", "SQGKTLSVKQE",
"SQLTNLFNEE", "SQRIASKNQLE", "SRFQEIVKE", "SRKLFAATVAKAKTIVWNGPPGVFE",
"SSANRKIVKE", "STKNGTETKRSLE", "STPDTPSPLIAVNE", "STVAGFLVGSE",
"STVLQFKE", "SVKLTKAVAE", "SVLAHL", "SYQKSQKSQKE", "SYVDKHPVVTFNQE",
"TAGLTVGDPVLRTGKPLSVE", "TAIGPSGQLKGYLRPE", "TAKGNYPINAVTTMAE",
"TAQGQFLNFNKLLE", "TARSTATGPSEAVWYGPPKAANLGGVAVSGLE", "TDPFKLSGAQVVD",
"TEPLGTAGPLKLAE", "TFKLFNKYRPE", "TFRTTNTL", "TGGPISVPVGRE",
"TGIVAQYAYVLGELE", "TGVIKPGMVVTFAPAGVTTE", "THINLKVSDGSSE", "TIGNPKYNVPDFE",
"TIQDKSSAGAVVVANAKSLE", "TKAGVVKGKTLLE", "TKKSCCSGK", "TKNFTPEQISSMVLGKMKE",
"TKTFSPQE", "TKYLSGIAKRLNKE", "TLKKFGEE", "TLKQLNASLADKSYIE",
"TLKVVDPE", "TLRKVVKHFIDE", "TMKAVVIE", "TMWDTKKE", "TNPGTDVTVSSVE",
"TQALLLAPIAPHFAE", "TQKGVIFYE", "TRLSLTHMVE", "TSGSTVNDPLANYE",
"TSNFIKKVGYNPKTVPFVPISGWNGDNMIE", "TSSKKPKHPLE", "TTAMITDIATAPAE",
"TTHIKFASDPGCAFTKSIGFE", "TTTGVHHLYRMVKE", "TVAASAVAAVFE", "TVAKSKNAE",
"TVFAGQKP", "TVLRQALGE", "TVQVNLPVSLE", "TVSKMAYLDKTGE", "VAAIMQDPVMQSILQQAQQNPAALQE",
"VAALAAENK", "VAKVVGANPAAIKQAIAANA", "VANPIMSKLYQAGGAPE", "VARVILTQVGSGPQETNE",
"VATRAKQGELLE", "VDASGFRIPQQE", "VDSVLKHMKE", "VEGMRWAGNANE",
"VFIDFTKE", "VFKFFGFTPE", "VFKFFGFTPEGVAE", "VFLNEHPE", "VFVATKE",
"VGAKGVQLLSSYITEE", "VGASMTRSIQTLE", "VGKSVAVDSSE", "VGLKRVVTKAMSSR",
"VGTMNVFFVFLNKVTGKKE", "VGVHVLPKILDE", "VHFVSNIDGTHIAE", "VIAGNVVTRE",
"VIDTILALVKD", "VKILNGFAFVE", "VKVVLFNHSQRD", "VLANYLTSALSE",
"VLAVQKKLIAKSNLAGKPVICATQMLE", "VLGPFAFRIGSVKE", "VLIKRGVKPE",
"VLLLDVTPLSLGIE", "VLLVAVGRRPYIAGLGAE", "VLNPQIIKDVLE", "VLPRAVGSLTFDE",
"VLVLRGTLE", "VLVVRGSKKGQE", "VLYTSKLSRAIQTANIALE", "VMSIGRTFEE",
"VMTKNPVTGIKGITLKE", "VQNSTLAQLTSKLIPE", "VQSAVLGFPRIGPNRE",
"VRVTPTKTE", "VSAAYKNSLE", "VSDVAQKAE", "VSGLQYIDLLLIHSPLE",
"VSNPNIIFFRGTYAAVSPE", "VSNPPAYGAKIVAKLLETPE", "VSNRSTPSVVGFGPKNRYLGE",
"VSSMPTLIFYKGGKE", "VSVVDLTVKLNKE", "VTAALRVTD", "VTPLVQNVTGDKE",
"VTRVVGANPAAIKQAIASNV", "VTSSFFYRGNYTDFE", "VVALNDPFITND", "VVKILRE",
"VVLPVDFIIAD", "VVLTHPADE", "VVNIGIGGSDLGPVMVTE", "VVTSASAPPENASE",
"VVVITKNVSGQDVAAALE", "VYHNLKSLTKKRYGASAGNVGDE", "VYKIGGIGTVPVGRVE",
"WAGLGKIDRE", "WFDIKAPSTFE", "WFRIYKIPDGKPE", "WGKFLTCVEVE",
"WLFKLREE", "WMWNQLGNFLQE", "WSKLISE", "WSLTAPLGKALHDLS", "WTKIFKAIHE",
"YAQLLAKRLSE", "YAQLLAKRLSERKAE", "YFATHITE", "YFATHITERE", "YFQLLNSALTE",
"YGYSARVVDLIE", "YGYSTRVVD", "YGYSTRVVDLVE", "YIALVDQLIAKYSS",
"YIASKKGSISAE", "YKDIPVPKPKANE", "YKPLFTE", "YLLKAIKE", "YLNLPEHIVPGTYIQE",
"YNKIGDILSGRLKLRAE", "YQSKIIVFPRDGKAPE", "YQTQVLKNAKALE", "YQYLRSVVNE",
"YRKVLPIVSVPE", "YRLSVLPDNVPIMSVE", "YSLLAWTNIPRKE", "YVAKVSARE",
"YVNKGQDFHIAGE", "YVPSVIEPSFGIGRIIYSVFE", "YVQAAKNSIAAGADGVE"
), class = "factor"), variable = structure(c(1L, 1L, 1L, 1L), .Label = c("Control",
"Treat"), class = "factor"), value = c(3893050.501, 900604.6087,
90008.14298, 656399.2021), pv = c(0.852317422616546, 0.852317422616546,
0.852317422616546, 0.852317422616546)), .Names = c("id", "Sequence",
"variable", "value", "pv"), row.names = c(NA, 4L), class = "data.frame")
Just save the original variable before changing it.
var.save <- tbl_reo$variable
levels(tbl_reo$variable) <- c("Control","Control","Control","Treat","Treat","Treat")
# do whatever you need to do with changed variables
# ...
# ...
tbl_reo$variable <- var.save # change back

GGPlot - how to format x-axis for stopwatch like times

This seems relatively straightforward and possibly doable with scale_x_datetime or scale_x_discrete.
I have a column with time increments like on a stopwatch:
[1] 0:00:01 0:00:02 0:00:03 0:00:04 0:00:05 0:00:06
1800 Levels: 0:00:01 0:00:02 0:00:03 0:00:04 0:00:05 0:00:06 0:00:07 ... 0:30:00
Using ggplot how can I set the x-axis labels for 30 second intervals?
Reproducible data:
structure(list(`somedata$Time` = structure(1:4, .Label = c("0:00:01",
"0:00:02", "0:00:03", "0:00:04", "0:00:05", "0:00:06", "0:00:07",
"0:00:08", "0:00:09", "0:00:10", "0:00:11", "0:00:12", "0:00:13",
"0:00:14", "0:00:15", "0:00:16", "0:00:17", "0:00:18", "0:00:19",
"0:00:20", "0:00:21", "0:00:22", "0:00:23", "0:00:24", "0:00:25",
"0:00:26", "0:00:27", "0:00:28", "0:00:29", "0:00:30", "0:00:31",
"0:00:32", "0:00:33", "0:00:34", "0:00:35", "0:00:36", "0:00:37",
"0:00:38", "0:00:39", "0:00:40", "0:00:41", "0:00:42", "0:00:43",
"0:00:44", "0:00:45", "0:00:46", "0:00:47", "0:00:48", "0:00:49",
"0:00:50", "0:00:51", "0:00:52", "0:00:53", "0:00:54", "0:00:55",
"0:00:56", "0:00:57", "0:00:58", "0:00:59", "0:01:00", "0:01:01",
"0:01:02", "0:01:03", "0:01:04", "0:01:05", "0:01:06", "0:01:07",
"0:01:08", "0:01:09", "0:01:10", "0:01:11", "0:01:12", "0:01:13",
"0:01:14", "0:01:15", "0:01:16", "0:01:17", "0:01:18", "0:01:19",
"0:01:20", "0:01:21", "0:01:22", "0:01:23", "0:01:24", "0:01:25",
"0:01:26", "0:01:27", "0:01:28", "0:01:29", "0:01:30", "0:01:31",
"0:01:32", "0:01:33", "0:01:34", "0:01:35", "0:01:36", "0:01:37",
"0:01:38", "0:01:39", "0:01:40", "0:01:41", "0:01:42", "0:01:43",
"0:01:44", "0:01:45", "0:01:46", "0:01:47", "0:01:48", "0:01:49",
"0:01:50", "0:01:51", "0:01:52", "0:01:53", "0:01:54", "0:01:55",
"0:01:56", "0:01:57", "0:01:58", "0:01:59", "0:02:00", "0:02:01",
"0:02:02", "0:02:03", "0:02:04", "0:02:05", "0:02:06", "0:02:07",
"0:02:08", "0:02:09", "0:02:10", "0:02:11", "0:02:12", "0:02:13",
"0:02:14", "0:02:15", "0:02:16", "0:02:17", "0:02:18", "0:02:19",
"0:02:20", "0:02:21", "0:02:22", "0:02:23", "0:02:24", "0:02:25",
"0:02:26", "0:02:27", "0:02:28", "0:02:29", "0:02:30", "0:02:31",
"0:02:32", "0:02:33", "0:02:34", "0:02:35", "0:02:36", "0:02:37",
"0:02:38", "0:02:39", "0:02:40", "0:02:41", "0:02:42", "0:02:43",
"0:02:44", "0:02:45", "0:02:46", "0:02:47", "0:02:48", "0:02:49",
"0:02:50", "0:02:51", "0:02:52", "0:02:53", "0:02:54", "0:02:55",
"0:02:56", "0:02:57", "0:02:58", "0:02:59", "0:03:00", "0:03:01",
"0:03:02", "0:03:03", "0:03:04", "0:03:05", "0:03:06", "0:03:07",
"0:03:08", "0:03:09", "0:03:10", "0:03:11", "0:03:12", "0:03:13",
"0:03:14", "0:03:15", "0:03:16", "0:03:17", "0:03:18", "0:03:19",
"0:03:20", "0:03:21", "0:03:22", "0:03:23", "0:03:24", "0:03:25",
"0:03:26", "0:03:27", "0:03:28", "0:03:29", "0:03:30", "0:03:31",
"0:03:32", "0:03:33", "0:03:34", "0:03:35", "0:03:36", "0:03:37",
"0:03:38", "0:03:39", "0:03:40", "0:03:41", "0:03:42", "0:03:43",
"0:03:44", "0:03:45", "0:03:46", "0:03:47", "0:03:48", "0:03:49",
"0:03:50", "0:03:51", "0:03:52", "0:03:53", "0:03:54", "0:03:55",
"0:03:56", "0:03:57", "0:03:58", "0:03:59", "0:04:00", "0:04:01",
"0:04:02", "0:04:03", "0:04:04", "0:04:05", "0:04:06", "0:04:07",
"0:04:08", "0:04:09", "0:04:10", "0:04:11", "0:04:12", "0:04:13",
"0:04:14", "0:04:15", "0:04:16", "0:04:17", "0:04:18", "0:04:19",
"0:04:20", "0:04:21", "0:04:22", "0:04:23", "0:04:24", "0:04:25",
"0:04:26", "0:04:27", "0:04:28", "0:04:29", "0:04:30", "0:04:31",
"0:04:32", "0:04:33", "0:04:34", "0:04:35", "0:04:36", "0:04:37",
"0:04:38", "0:04:39", "0:04:40", "0:04:41", "0:04:42", "0:04:43",
"0:04:44", "0:04:45", "0:04:46", "0:04:47", "0:04:48", "0:04:49",
"0:04:50", "0:04:51", "0:04:52", "0:04:53", "0:04:54", "0:04:55",
"0:04:56", "0:04:57", "0:04:58", "0:04:59", "0:05:00", "0:05:01",
"0:05:02", "0:05:03", "0:05:04", "0:05:05", "0:05:06", "0:05:07",
"0:05:08", "0:05:09", "0:05:10", "0:05:11", "0:05:12", "0:05:13",
"0:05:14", "0:05:15", "0:05:16", "0:05:17", "0:05:18", "0:05:19",
"0:05:20", "0:05:21", "0:05:22", "0:05:23", "0:05:24", "0:05:25",
"0:05:26", "0:05:27", "0:05:28", "0:05:29", "0:05:30", "0:05:31",
"0:05:32", "0:05:33", "0:05:34", "0:05:35", "0:05:36", "0:05:37",
"0:05:38", "0:05:39", "0:05:40", "0:05:41", "0:05:42", "0:05:43",
"0:05:44", "0:05:45", "0:05:46", "0:05:47", "0:05:48", "0:05:49",
"0:05:50", "0:05:51", "0:05:52", "0:05:53", "0:05:54", "0:05:55",
"0:05:56", "0:05:57", "0:05:58", "0:05:59", "0:06:00", "0:06:01",
"0:06:02", "0:06:03", "0:06:04", "0:06:05", "0:06:06", "0:06:07",
"0:06:08", "0:06:09", "0:06:10", "0:06:11", "0:06:12", "0:06:13",
"0:06:14", "0:06:15", "0:06:16", "0:06:17", "0:06:18", "0:06:19",
"0:06:20", "0:06:21", "0:06:22", "0:06:23", "0:06:24", "0:06:25",
"0:06:26", "0:06:27", "0:06:28", "0:06:29", "0:06:30", "0:06:31",
"0:06:32", "0:06:33", "0:06:34", "0:06:35", "0:06:36", "0:06:37",
"0:06:38", "0:06:39", "0:06:40", "0:06:41", "0:06:42", "0:06:43",
"0:06:44", "0:06:45", "0:06:46", "0:06:47", "0:06:48", "0:06:49",
"0:06:50", "0:06:51", "0:06:52", "0:06:53", "0:06:54", "0:06:55",
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"0:29:56", "0:29:57", "0:29:58", "0:29:59", "0:30:00"), class = "factor"),
student = c("bob", "bob", "bob", "bob"), somemeasure = c(0L,
0L, 1L, 1L)), .Names = c("somedata$Time", "student", "somemeasure"
), row.names = c(NA, 4L), class = "data.frame")
Assuming that your data frame is named df. First, create new column which is POSIXct by pasting together some arbitrary date and original Time column and then converting with as.POSIXct().
Then use function scale_x_datetime() to set breaks and format for labels you want to see.
df$Time2<-as.POSIXct(paste("1960-01-01 ",df$Time))
library(scales)
ggplot(df,aes(Time2,somemeasure))+geom_point()+
scale_x_datetime(breaks=date_breaks("30 sec"),labels = date_format("%M:%S"))

trouble adding geom_vline to ggplot2

I have a large time series data set, which I've used xts to summarize in 30 second periods. Not sure how to make this set easily reproducible but it looks like this
> str(taonedf)
'data.frame': 480 obs. of 2 variables:
$ time : POSIXct, format: "2013-01-06 13:00:29" "2013-01-06 13:00:59" "2013-01-06 13:01:29" ...
$ count: int 20763 12030 22188 12183 21112 11628 21543 12609 20095 12992 ...
> head(taonedf)
time count
1 2013-01-06 13:00:29 20763
2 2013-01-06 13:00:59 12030
3 2013-01-06 13:01:29 22188
4 2013-01-06 13:01:59 12183
5 2013-01-06 13:02:29 21112
6 2013-01-06 13:02:59 11628
I've plotted a normal line plot of this and it works fine.
ggplot(data=taonedf, aes(x=time, y=count/30)) + #
geom_line(color="#009E73") +
scale_y_continuous(name="requests per second", labels = format_format(scientific=FALSE, big.mark=",")) +
scale_x_datetime(name="",labels = date_format("%b %d\n%H:%M") ) +
labs(title=paste("Requests per Second - All Requests",count,sep="\n")) +
theme(legend.position = "none")
I want to add some vline annotations. I've created a second dataframe called EV, it looks like this:
> str(ev)
'data.frame': 10 obs. of 2 variables:
$ dt : POSIXct, format: "2013-01-06 13:45:00" "2013-01-06 14:18:00" "2013-01-06 14:49:00" ...
$ event: Factor w/ 9 levels "Event 1",..: 7 8 3 2 5 6 1 4 2 9
> head(ev)
dt event
1 2013-01-06 13:45:00 Event 1
Now, when I add the vline option I get odd results. I'm using the same date time format between the two so the scale should align.
ggplot(data=taonedf, aes(x=time, y=count/30)) +
geom_line(color="#009E73") +
geom_vline(data=ev,aes(xtintercept=dt))+
scale_y_continuous(name="requests per second", labels = format_format(scientific=FALSE, big.mark=",")) +
scale_x_datetime(name="",labels = date_format("%b %d\n%H:%M") ) +
labs(title=paste("Requests per Second - All Requests",count,sep="\n")) +
theme(legend.position = "none")
What am I missing? This doesn't appear to be that hard. All of the documentation and examples show simple numeric X axis so I'm assuming there is some issue with dates in the X axis but I can't pinpoint it. Any help would be appreciated.
> dput(taonedf)
structure(list(time = structure(c(1357506029.996, 1357506059.999,
1357506089.997, 1357506119.998, 1357506149.998, 1357506179.996,
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1357520249.999, 1357520279.999, 1357520309.999, 1357520339.999,
1357520369.999, 1357520399.999), tzone = "", tclass = c("POSIXct",
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169230L, 135086L, 139350L, 174013L, 164427L, 154289L, 143392L,
187156L, 139426L, 159207L, 187435L, 198519L, 132559L, 163582L,
179069L, 150413L, 161463L, 173357L, 162457L, 136248L, 144086L,
151073L, 130237L, 144066L, 179840L, 135843L, 147757L, 206373L,
140734L, 177374L, 176168L, 154999L, 136136L, 187568L, 142357L,
152180L, 168528L, 131228L, 140622L, 145363L, 93070L, 58613L,
82024L, 86640L, 77493L, 71205L, 87641L, 89232L, 99214L, 89311L,
87948L, 90790L, 91326L, 106916L, 97318L, 89452L, 91658L, 82069L,
92559L, 89194L, 81721L, 83490L, 96388L, 90145L, 79861L, 90301L,
77676L, 262966L, 227355L, 256477L, 238905L, 241260L, 206168L,
229477L, 215515L, 245217L, 232026L, 225308L, 223537L, 198524L,
237840L, 233483L, 193081L, 216570L, 212949L, 203150L, 240861L,
209596L, 200673L, 180099L, 187726L, 187642L, 188402L, 176871L,
216090L, 203310L, 184723L, 195702L, 204137L, 276952L, 313717L,
323208L, 308448L, 321638L, 378236L, 352163L, 413678L, 395997L,
354317L, 366915L, 339465L, 346781L, 394895L, 355176L, 349618L,
417590L, 335474L, 405686L, 362581L, 356525L, 354142L, 383487L,
334305L, 327489L, 336201L, 374153L, 341485L, 321473L, 308773L,
15709L, 8870L, 15563L, 8944L, 15941L, 9342L, 16303L, 8951L, 14969L,
9385L, 14537L, 9963L, 15676L, 9011L, 16552L, 9587L, 16802L, 9693L,
15267L, 8946L, 14189L, 9067L, 14359L, 9776L, 167922L, 337364L,
350941L, 362928L, 364922L, 319641L, 348687L, 321356L, 400161L,
334171L, 332829L, 323842L, 397809L, 375694L, 384432L, 356825L,
350846L, 395942L, 359471L, 296926L, 418481L, 322144L, 335658L,
347212L, 334421L, 375769L, 364300L, 317370L, 373192L, 346713L,
356341L, 327225L, 305538L, 347815L, 276914L, 322149L, 303627L,
292363L, 284724L, 305082L, 373363L, 304386L, 438592L, 403579L,
430549L, 450536L, 432445L, 389779L, 434888L, 375010L, 456096L,
577393L, 451122L, 432354L, 425547L, 417729L)), .Names = c("time",
"count"), row.names = c(NA, -480L), class = "data.frame")
> dput(ev)
structure(list(dt = structure(c(1357508700, 1357510680, 1357512540,
1357515360, 1357517220, 1357517700, 1357518000, 1357518000, 1357519140,
1357519140), class = c("POSIXct", "POSIXt"), tzone = ""), event = structure(c(7L,
8L, 3L, 2L, 5L, 6L, 1L, 4L, 2L, 9L), .Label = c("Event 1",
"Event 2", "Event 3",
"Event 4", "Event 5",
"Event 6", "Event 7",
"Event 8", "Event 9"
), class = "factor")), .Names = c("dt", "event"), row.names = c(NA,
-10L), class = "data.frame")
Library Versions:
> sessionInfo()
R version 2.15.1 (2012-06-22)
Platform: x86_64-redhat-linux-gnu (64-bit)
attached base packages:
[1] grid stats graphics grDevices utils datasets methods base
other attached packages:
[1] reshape2_1.2.2 xts_0.9-1 zoo_1.7-9 gdata_2.12.0 data.table_1.8.6 caTools_1.14
[7] scales_0.2.3 ggplot2_0.9.3
Simplied code - this still doesnt work
library(scales)
library(ggplot2)
taonedf<-dget("taonedf") #in this thread
ev<-dget("ev") #in this thread
ggplot(data=taonedf, aes(x=time, y=count/30)) +
geom_line() +
geom_vline(data=ev,aes(xtintercept=as.numeric(dt)))
To get geom_vline() display lines as intended, first, library scales should be loaded. Then use as.numeric() in geom_vline().
library(scales)
+ geom_vline(data=ev,aes(xintercept=as.numeric(dt)))
Two things
You need to wrap the datetimes for the vline in as.numeric
You misspelled xintercept
Fixing those:
library("ggplot2")
library("scales")
ggplot(data=taonedf, aes(x=time, y=count/30)) +
geom_line(color="#009E73") +
geom_vline(data=ev,aes(xintercept=as.numeric(dt)))+
scale_y_continuous(name="requests per second", labels = format_format(scientific=FALSE, big.mark=",")) +
scale_x_datetime(name="",labels = date_format("%b %d\n%H:%M") ) +
labs(title=paste("Requests per Second - All Requests")) +
theme(legend.position = "none")

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