similar to: ggplot2 / lattice

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

Hi All, I'm trying to draw boxplots. I'm having a hard time to get "ticks labels" on multiple panels using 'alternating' option. # R Code: # May not be the best example, please just look into 'scales' option library(lattice) data(OrchardSprays) dta <- subset(OrchardSprays, OrchardSprays$rowpos %in% c(1,2,3)) # Original # This works fine, as you can see

Hi, I'm trying to compare two linear regressions. I'm using the following approach: ################## xx<-1:100 df1 <- data.frame(x = xx, y = xx * 2 + 30 + rnorm(n=length(xx),sd=10), g = 1) df2 <- data.frame(x = xx, y = xx * 4 + 9 + rnorm(n=length(xx),sd=10), g = 2) dta <- rbind(df1, df2) dta$g <- factor(dta$g)

Hi, I am trying to add text to the bottom of a lattice bwplot with multiple panels. I would like to add a label below each boxplot, but the labels do not come from the data. I've tried the following, code: f1 <- c(rep(c(rep("a", 3), rep("b", 3), rep("c", 3)), 2)) f2 <- c(rep("A", 9), rep("B", 9)) dv <- c(0.9, 0.8, 0.85, 0.6, 0.65,

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?

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",

Hi, I'm playing with moving some of my lattice graphics into ggplot2, and I'd like to ask how to achieve a couple of things, both of which are fully illustrated in self-contained code (and mostly minimal, although that left quite a bit) following this written description. 1. I quite often like to use a 'ghosted' reference across facets - for example, in my example program below,

Hello, I'd like to produce a ggplot where the order of factors within facets is based on the average of another variable. Here's a reproducible example. My problem is that the factors are ordered similarly in both facets. I would like to have, within each facet of `f1', boxplots for 'x' within each factor `f2', where the boxplots are ordered based on the average of x

Dear List and Hadley, I would like to have a boxplot with ggplot2 and have the outlier values labelled with their "name" attribute. So I did > library(ggplot2) > dat=data.frame(num=rep(1,20), val=c(runif(18),3,3.5), name=letters[1:20]) > p=ggplot(dat, aes(y=val, x=num))+geom_boxplot(outlier.size=4, outlier.colour="green") >

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

All: Below is my code for creating a basic horizontal, stacked barchart. I'd like to label the plot in two ways: 1) place the x values in each piece and 2) place the y values above each piece (angled). I'm currently using lattice, but I'm open to suggestions using ggplot2. Questions: 1. Can this be done?...I assume yes. So, what are the best options/functions for doing this. 2.

Dear all, I want to get a series of boxplots (grouped by two factors) and I want to overlay the original observations and the following code does almost what I want: library(ggplot) ddf <- data.frame(x=factor(rep(LETTERS[1:4], each=30)), y = runif(120,0,10), grp = factor(rep(rep(1:3, 10), 4))) ggplot(ddf, aes(x, y, colour=grp)) + geom_boxplot() + geom_point() Yet the position of the points

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, I am trying to label data points within a scatter plot using thigmophobe. While the data set consists of about 3000 points I only would like to label a subset of these points. I read the x and y coordinates in from a txt file and define them as: MLPM1<-log2(Ratio.M.L.G2.PM) HLG2<-log2(Ratio.H.L..G2.PM) the names and a corresponding ID are read in from the same txt file as:

Hello everyone I have dataset containing a monetary value (ABS) and two factors (Fct, Group). I am able to create useful using: bwplot(ABS~Group|Fct) and dotplot(ABS~Group|Fct) Question: What do I have to do to overlay the dotplot with the bwplot (same data set)? I've found a couple of posts that hinted at the possibility of doing that, and checked the panel.superpose() help, but the info

Hi R Users, I'm trying to plot a stacked barplot. Here is data: Sample Col1 Col2 Col3 Row1 -2 4 -1 Row2 3 -2 4 Row3 3 5 -2 Row4 4 1 -1 I'm using following R code: library(lattice) dta<-read.table("data.txt", header=TRUE, row.names="Sample") barchart(data.matrix(dta), horizontal=FALSE, stack=TRUE, col=2:4,

I am trying to overlay raw data with a boxplot as follows: pp = qplot(factor(time, levels=0:60, ordered=TRUE), error, data=dfsub, size=I(1), main =" title", ylab="Error (min)", xlab="Time before ON (min)", alpha=I(1/10), ylim=c(-30,40), geom="jitter") + facet_wrap(~ runway, ncol=2) +

Dear list,   I made boxplots using ggplot and want to control for x- and yaxis. Using "plot" I can do it by setting cex.axis equally to any size but can't figure out how to do it with ggplot.     ggplot(dat, aes(x = factor(time), y = volume)) + opts(axis.title.x=theme_text(size=8),axis.title.y=theme_text(size=8)) + geom_boxplot() + geom_jitter(aes(colour = id))+labs(x =

hello everybody, I want to print two plots in one png file, I tried several options but i didn't succeed the first plot (bwplot) print to the defined position, but the second (ggplot) doesn't Any idea? Thanks a lot Christophe # Example: #------------------------------------- library(ggplot2) library(lattice) library(grid) one <- bwplot(decrease ~ treatment, OrchardSprays, groups

I?m trying to build a simple formula interface to work with a function using ggplot2. The following scheme ?works? up until the plot(p) request, at which point there are complaints about xlim?s and a blank graphics window. Looking at str(p) I do see the limits are NULL, plus layer 1 claims to have an empty data frame (but df is reproduced correctly). I'm sure I'm missing something really