similar to: ggplot2 boxplot confusion

Hi, new to R and ggplot2. I've been trying to get a facet plot in which the order of the facets is as I require, rather than ordered numerically, alphabetically, by Roman numerals, mean (answers to these were posted here after much searching). Here's some test code to demonstrate what I get. series = c('C2','C4','C8','C10','C15','C20') ids =

Hi I am using the following script to average a set of data 0f 62 columns into 31 colums. The data consists of values of ln(0.01) or -4.60517 instead of NA's. These need to be averaged for each row (i.e 2 values being averaged). What I would I need to change for me to meet the conditions: 1. If each run of the sample has a value, the average is given 2. If only one run of the sample has a

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?

Hi All, I have a dataset with a column named "Condition", Sample Condition 1 c20 2 c20 3 c10 4 c10 5 c9 6 c9 7 c5 8 c5 9 c20 10 c10 Could you let me know the fastest way to change c20->"AA", c20->"BB", c9->"CC", c5->"DD"

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

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 #

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",

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

Hi R users, This seems like a simple problem but I have searched nabble for the answer and can't seem to find it. All I want to do is produce a boxplot where I have two boxes for one Individual but on the xaxis I only have one tick mark centred between the boxes so I can add the Individuals' name. I have 30 IDs and have shown the code I use below for a couple of IDs, I figure the data

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

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

Hi R Users, I am using following R code to plot a "grouped boxplot". I'm hoping if I can add MEAN to these boxplots. Data is copied below and attached as text file. install.packages("ggplot2") library(ggplot2) dta<-read.table("Sample.txt",header=T) attach(dta) p <- ggplot(dta, aes(factor(month), nail)) p + geom_boxplot(aes(fill = factor(trt))) Data: month

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

Can anybody help me on how to boxplot multiple groups with different color? Say, I have 3 groups of data, each group with 2 boxes, and I'd like to have the following layout in the boxplot: red, red, green, green, blue, blue thanks in advance. -- View this message in context: http://www.nabble.com/multiple-groups-with-different-colors-in-boxplot-tp25867267p25867267.html Sent from the R help

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:

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, 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:

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.