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A graphical display to summarize the distribution of a sample. It displays five numbers plus (possibly) some outliers - those five points being the median, hinges (approximate quartiles), and the largest and smallest value not counting any points marked as outliers.
15
votes
What are some alternatives to a boxplot?
A boxplot isn't that complicated. … The R software implements a slightly different rule but the source code is available if you want to study it (see the boxplot() and boxplot.stats() functions). …
6
votes
How can I draw a boxplot without boxes in R?
One interesting application of R's stripchart() is that you can use jittering or stacking when there is some overlap in data points (see method=).
With lattice, the corresponding function is stripplot …
8
votes
Highlighting significant results from non-parametric multiple comparisons on boxplots
[1,i]],
y[as.numeric(g)==idx[2,i]]))$p.value
# which groups are significantly different (arranged by column)
signif.pairs <- idx[,which(pval.res<alpha.level)]
boxplot …
6
votes
Accepted
Creating a plot with boxplots ranked by quantiles in R
rnorm(n)
library(Hmisc)
xq <- cut2(x, g=10, levels.mean=TRUE)
ym <- tapply(y, xq, mean)
# display the mean for each decile
plot(as.numeric(levels(xq)), ym, pch="x", xlab="x", ylab="y")
# add the boxplots
boxplot … (y ~ xq, add=TRUE, at=as.numeric(levels(xq)), axes=FALSE)
abline(v=cut2(x, g=10, onlycuts=TRUE))
If data are in a data.frame, just add a data= argument when calling boxplot(). …
6
votes
How to customize axis labels in a boxplot?
Here's a reproducible example, that you might adapt to fit with what you want to achieve with your data.
opar <- par(las=1)
df <- data.frame(y=rnorm(100), x=gl(2, 50, labels=letters[1:2]))
with(df, p …
8
votes
Labeling boxplots in R
Try something like this for a standalone version:
bxp <- boxplot(rnorm(100), horizontal=TRUE, axes=FALSE)
mtext(c("Min","Max"), side=3, at=bxp$stats[c(1,5)], line=-3)
Note that you can get some information … when calling boxplot, in particular the "five numbers". …
14
votes
Accepted
Boxplots as tables
I tend to think that boxplots will convey more effective information if there are numerous empirical distributions that you want to summarize into a single figure. If you only have two or three groups …
5
votes
Accepted
Reorder categorical data in ggplot2
Would that help?
x <- gl(2, 20, 40, labels=c("KO","WT"))
y <- rnorm(40)
qplot(x,y)
qplot(relevel(x, "WT"),y)