similar to: multiple groups with different colors in boxplot

Ultimately my aim is to get a plot of density faceted by 2 factors with a horizontal boxplot overlaid on each density plot in the grid to indicate summary stats. So I've been experimenting with creating boxplots and density plots. Here's some representative data. series = c('C2','C4','C8','C10','C15','C20') ids =

Hi, ggplot/qplot is great - it has really helped me do some nice things. However, simple boxplot of different columns/variables is a bit tricky, because of (i think) qplot's generic Y conditional on X input form. Se below. # Some data: a <- rnorm(100) b <- rnorm(100,1,2) c <- rnorm(100,2,0.5) # normal boxplot of a,b,c boxplot(a,b,c) # Looks good library(ggplot2) # loads qqplot2 #

Dear R list members I am trying to improve a boxplot with 2 data sets. I run somethinkg like boxplot(data1 ~ month, add=F, col = "red", ...) boxplot(data2 ~ month, add=T, col = "blue", ...) The problem is that the data from February are missing for data2, so R think that must take little more space between the data classes in data 2 and then both data gropus are not aligned.

Dear list,   Using ggplot2 I could produce both boxplot and points in the same plot but instead of points I would like to label the different subjects with different colors or their idnumbers. Is there away to do it? Also how can I put three plots on the same graph with ggplot2? mfrow=c(3,1) did not do the job.   > dat    group time   id  freq 1      1   00 0018  5.21 2      1   00 3026  3.13

Hello people, A while back I wanted to plot boxplots with interactions that will have a dot for the mean of the sample + bars for the SE. After searching for some code, I found something that did it for one level, but couldn't find something that will allow for interactions the way the original boxplot does. After playing with the original code, I found a way for allowing the boxplot code to

Hi, I wanted to change the default colors appearing in boxplot. For example, the following code (from the package/documentation): =========== library(ggplot2) p <- ggplot(mtcars, aes(factor(cyl), mpg)) p + geom_boxplot(aes(fill = factor(am))) =========== Gives the default colors. What do I need to do to modify this so that: 1. Change the colors from green and red to blue and black 2. Only

Hola a todos Me gustaría saber si me pueden ayudar con lo siguiente. Realicé un Boxplot usando ggplot2 para visualizar el comportamiento de dos variables. Visualmente no se notan las diferencias porque la gráfica de la derecha (parásitos en el abdomen) llega hasta 20 en el eje y. ¿Cómo puedo hacer para que las dos gráficas muestren la misma escala en el eje Y, es decir, que las dos lleguen a 60?

my dataset looked like this in the beginning: >Daten V1 V2 V3 1 Dosis Gewicht Geschlecht 2 0 6.62 m 3 0 6.65 m 4 0 5.78 m 5 0 5.63 m I need box plots for V2 with all combination of V1 and V3, so I deleted the first row, and tried this: boxplot(Daten$V2[Daten$V3=="m"]) but it does not work and I

Dear list, I am using a external program that outputs Q1, Q3, median, upper and lower whisker values for various datasets simultaneously in a tab delimited format. After importing this text file into R, I would like to plot a boxplot using these given values and not the original series of data points, i.e. not using something like boxplot(mydata). Is there an easy way for doing this? If I am not

People, It appears that there is no way of getting Boxplots to plot using Mean, SD, Max & Min - is there something else that would do what I want? I couldn't find it . . Thanks, Phil. -- Philip Rhoades GPO Box 3411 Sydney NSW 2001 Australia E-mail: phil at pricom.com.au

Hola, estoy tratando de hacer un boxplot para compara diferentes comportamientos. Tengo un set de datos con 17 columnas, quiero crear un boxplot considerando 3 de ellas. He buscado en foros y siempre responden esta pregunta con subconjuntos de datos dentro de una misma columna, y no he logrado realizarlo. Este es un ejemplo de mis datos: ID: id animal EP: episodio AA: acostado y alerta AD:

I don't see anything obviously wrong here. There may be something subtle, but we probably won't be able to help without a reproducible example ... On 2024-08-16 9:24 a.m., SIBYLLE ST?CKLI via R-help wrote: > Dear community > > > > I tried the following code using geom_boxplot() and notch=TRUE. Does anyone > know if the command ?notch=TRUE? is at the wrong place in

Hi all, I'm trying to use ggplot to make a boxplot of some data, but I can't seem to figure out how to make it use the data I'm giving it. The data is in a data.frame so that it has two columns: >meltl value L1 1234 1 1234 1 1235 1 ... 1255 1 2335 2 3444 2 ... 10001 50 12311 50 ... The first column is my x value, the second is my y. I'd like to produce one boxplot for

Hello R users and Hadley, Back again with a little problem in ggplot2 =o) (ggplot 0.8.1, R 2.8.0) Here the problem : library(ggplot2) df <- data.frame(id = 1:100, x1 = c(rnorm(50), rnorm(50, 1)), x2 = c(rnorm(50), rnorm(50, 1.5)), x3 = c(rnorm(50, 0.5), rnorm(50, 2.5)), group = as.factor(rep(c("a", "b"), each = 50))) df.melt <- melt(df, id = c("id",

Hello, I generate box plots from my data like this: qplot(x=xxx,y=column,data=data,geom="boxplot") + xlab("xxx") + ylab(ylabel) + theme_bw() + scale_y_log10() + geom_jitter(alpha=I(1/10)) The problem is that I see lot of points above the maximum at the same level as some outliers. It looks very weird as I expected the outliers to be "few" and specially not see any

Dear all I am trying to represent a dependent variable (treatment) against different independent variables (v1, v2, v3....v20). I am using the following command: boxplot(v1~treatment,data=y, main="xxxxxx",xlab="xxxxxx", ylab="xxxxxx") However, it provides me only one graph for v1~treatment. For the other comparisons, I have to repeat the same command but changing

Hii, Is it possible, to use the plot() funktion and the boxplot() funktion together ? I will plot a simple graph and additionally to the graph on certain places boxplots. I have imagined to plot the graph a little bit transparency and show in the same graph on certain places boxplots.... Is it possible to do it in this way ? greetings, johnh -- View this message in context:

Thanks Ben, Here the reproducible example. It works without notch=TRUE, but provides an error with notch=TURE Error in `geom_boxplot()`: ! Problem while converting geom to grob. ? Error occurred in the 1st layer. Caused by error in `ans[ypos] <- rep(yes, length.out = len)[ypos]`: ! replacement has length zero Run `rlang::last_trace()` to see where the error occurred. Warning message: In

Hi there: I am new to R and creating a boxplot panel chart to show a test result. I have four output variables (OV1, OV2, OV3, OV4) reflecting effects of the variation of three status parameters (SP1, SP2, SP3) on them at three different locations (Loc1, Loc2, Loc3). My plan is that displaying ONE OV change with ONE SP over three Loc in each boxplot (i.e., Loc is X axis and OV value is Y axis).

Hi I am very new to R, I am attempting to produce a monthly boxplot with the following fish thermal telemetry data: ID Temp Date.Time Month.Year Month Week Shortdate 1 1734 4.4140 04/05/2010 11:56 05,2010 May 19 04/05/2010 2 1734 4.1002 04/05/2010 12:06 05,2010 May 19 04/05/2010 3 1734 3.9433 04/05/2010 12:09 05,2010 May 19 04/05/2010 4 1734 3.6295