similar to: ggplot2 - facet_grid and facet_wrap

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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",

just a quick question (to which I suspect the answer is "no"): does anyone know if, in the ggplot2 package, there's a way to override the default names of the facets in facet_wrap (which correspond to the levels of the factor used to facet)? I know that I go back and change the levels of the factor, but it would be convenient to be able to supply a vector of level names at the time

I currently use lattice functions to produce multiple pages of plots using the "layout" argument to specify the number of rows and columns of panels, e.g., xyplot(price ~ carat | clarity, diamonds, layout = c(2, 2)) This results in 2 pages of 4 panels each. "diamonds" is a data.frame distributed with ggplot2. I would like to do the same with ggplot2 but have been

Dear R experts, I am trying to arrange multiple plots, creating one graph for each size1 factor variable in my data frame, and each plot has the median price on the y-axis and the size2 on the x-axis grouped by clarity: library(ggplot2) df <- data.frame(price=matrix(sample(1:1000, 100, replace = TRUE), ncol = 1)) df$size1 = 1:nrow(df) df$size1 = cut(df$size1, breaks=11)

Hi R users, I need to create more than 20 figures (one for each group) in one page. I have a common legend for 20 figures using the facet_wrap. However the range of the values among the groups are very wide. For example one group has the value of 0 to 3, but the values of some of the groups has ranged from 0 to 20 so that when I used a single common legend for all 20 figures, I could not display

Hadley, I don't know if I am doing something wrong or if it is ggplot please see the two graphs at the bottom of the page (code). melt.nut <- (structure(list(RiverMile = c(119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 190L, 190L, 190L, 190L, 190L, 190L,

Hi All, Here is the code that I'll be referring to: p <- ggplot(wastran.data, aes(PER_KEY, EVENTS)) (p <- p + facet_grid( pool.short ~ .) + stat_summary(aes(y=EVENTS), fun.y = sum, geom="line") + opts(axis.text.x = theme_text(angle = 90, hjust=1), title="Events (15min.) vs. Time: Facet pool", strip.text.y = theme_text()) ) Now, depending on preceding

Hello, I am plotting many histograms together using facet_grid in ggplot2. However, I want to then add a vertical line to each histogram, or facet, each of which vertical lines are at different x-values. The following example adds all vertical lines to each facet: ggplot(data,aes(values)) + geom_histogram() + facet_grid(.~variable) + geom_vline(xintercept=c(5,10,15)) How can I add a vertical

Hi I want to highlight two panels in a grid created with facet_grid() by putting a box around it or usiong another background colour. Is this possible, and if yes, how? Thanks Rainer -- Rainer M. Krug, Dipl. Phys. (Germany), MSc Conservation Biology (UCT) Plant Conservation Unit Department of Botany University of Cape Town Rondebosch 7701 South Africa Tel: +27 - (0)21 650 5776 (w) Fax:

Just trying to understand how geom_abline works with facets in ggplot. By way of example, I have a dataset of student test scores. These are in a data table dt with 4 columns: student: unique student ID cohort: grouping factor for students (A, B, . H) subject: subject of the test (English, Math, Science) score: the test score for that student in that subject The goal is to compare

http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example Overlaying aesthetics is possible. Overlaying graphs is not. Without sample data, concrete examples will be unlikely to appear, so read the above link and pay attention to the dput function. -- Sent from my phone. Please excuse my brevity. On April 20, 2016 3:01:43 PM PDT, "ch.elahe via R-help"

Hi all, Does anyone know how to overlay two facet_grids? I have two facet grids as following: ggplot(data=df,aes(x=TE,y=TR,color="orange"))+geom_point()+facet_grid(FS+TRJ~OR+INV,labeller=label_both)+xlim(0,200)+ylim(0,10000) ggplot(data=df,aes(x=TE,y=TR))+geom_point(aes(color=TST))+facet_grid(FS+TRJ~OR+INV,labeller=label_both)+xlim(0,200)+ylim(0,10000) Thanks for any help! Elahe

Hi I am using ggplot2 at the moment and I must say it is definitely better then ggplot - good work. My problem is that I am using facet_grid() in the following way: > p <- ggplot(ssq, aes(x=year, y=-log(ssq))) > p + geom_point() + facet_grid(me*gi~cs*rz) and it works nicely, except that I would like to have, in naddition to the values of me, gi, cs and rz the name of the variable.

Hello Again R Folk: I have found items about this in the archives, but I?m still not getting it right. I want to use ggplot2 with facet_grid inside a function with user specified variables, for instance: p <- ggplot(data, aes_string(x = fac1, y = res)) + facet_grid(. ~ fac2) Where data, fac1, fac2 and res are arguments to the function. I have tried p <- ggplot(data,

Hi, Dummy data script and scripts are attached below. I would like to change the plot to look like this:

Hi I have a long data set on which I want to do Bland-Altman style plots for each rhythm type Using ggplot2, when I use geom_hline with facet_grid I get an extra set of empty panels. I can't get it to do it with the "Diamonds" data supplied with the package so here is a (much abbreviated) example: > lvexs cvd_basestudy ecd_rhythm fixed_time variable_time 1 CBP05J02

Hi, # For publications, I am not allowed to repeat the axes. I have tried to remove the axes using: # yaxt="n", but it did not work. I have not understood how to do this in ggplot2. Can you help me? # I also do not want loads of space between the graphs (see below script with Dummy Data). # If I could make it look like the examples on the (nice) examples page: #