facet-wrap

Can any help me change the title text size for these plots. i.e. make them larger? Script ggplot(NMPSCMOR, aes(Length, fill=Year)) + geom_histogram(position="dodge", binwidth=60, colour="black") + xlim(0, 600) + scale_fill_grey(start = 1, end = 0)+ geom_vline(data=ddply(NMPSCMOR, Year~Morphology~Sector2, numcolwise(mean)), mapping=aes(xintercept=Length,color=Year), linetype=2, size=1) + scale_color_grey(start=1,end=0)+ xlab("Length Class") + ylab(expression(paste("Total Count"))) + #( ", m^2, ")", sep = facet_wrap( ~ Morphology + Sector2, ncol=3, scales = "free") + theme( panel.grid.minor =

I've been reading the ggplot2 documentation for both functions. I was wondering what were the differences and what would be right situation for using each function ( facet_wrap() and facet_grid() ). library(ggplot2) p <- qplot(displ, hwy, data = mpg) p + facet_wrap(~ cyl) p + facet_grid(~ cyl) I provide this small example to serve as starting point. The difference seems to be wrap makes the plots more autonomous and grid makes one plot all together. Abhijeet Sharma The answer below refers to the case when you have 2 arguments in facet_grid() or facet_wrap() . facet_grid(x ~ y) will display x*y

The whole dataset describes a module (or cluster if you prefer). In order to reproduce the example, the dataset is available at: https://www.dropbox.com/s/y1905suwnlib510/example_dataset.txt?dl=0 (54kb file) You can read as: test_example <- read.table(file='example_dataset.txt') What I would like to have in my plot is this On the plot, the x-axis is my Timepoints column, and the y-axis are the columns on the dataset, except for the last 3 columns. Then I used facet_wrap() to group by the ConditionID column. This is exactly what I want, but the way I achieved this was with the following code:

I'm trying to create a plot using ggplot2 (v. 2_2.2.1) facet_wrap , and I need to have a Greek symbol in only one facet label (out of five). I have tried to use code posted here on Stack Overflow: R Greek letters and normal letters for facet label in R facet grid How to add expressions to labels in facet_wrap? How can I use grid to edit a ggplot2 object to add math expressions to facet labels? but without any success (getGrob is not working, and that's true also for the mf_labeller). Can anyone help me with that? Here is the example code: df <- data.frame(genes = rep(c("BA","MLL","pos","neg",

I would like to have an R expression in a ggplot2 facet label. Let's say I'm plotting the tips data.frame : library(reshape2) > head(tips) total_bill tip sex smoker day time size 1 16.99 1.01 Female No Sun Dinner 2 2 10.34 1.66 Male No Sun Dinner 3 3 21.01 3.50 Male No Sun Dinner 3 4 23.68 3.31 Male No Sun Dinner 2 5 24.59 3.61 Female No Sun Dinner 4 6 25.29 4.71 Male No Sun Dinner 4 as follows: library(ggplot2) sp <- ggplot(tips, aes(x=total_bill, y=tip/total_bill)) + geom_point(shape=1) + facet_wrap(~sex, ncol = 1) Instead of having "Female" and "Male" as facet labels I would like to have: "

I'm trying to understand why the outputs of facet_grid() and facet_wrap() are different, even though the inputs are the same: facet_grid ggplot(temp, aes(x = valor)) + geom_histogram(binwidth = 5, fill = NA, color = "black") + facet_grid(estratificacao ~ referencia, scales = "free") + scale_x_continuous(breaks = seq(0, 100, 10)) + theme_classic() facet_wrap ggplot(temp, aes(x = valor)) + geom_histogram(binwidth = 5, fill = NA, color = "black") + facet_wrap(estratificacao ~ referencia, scales = "free") + scale_x_continuous(breaks = seq(0, 100, 10)) + theme_classic() See, the argument scales =