在R中创建一个框图，用于标记样本大小（N）的框

Question

Is there a way to create a boxplot in R that will display with the box (somewhere) an "N=(sample size)"? The varwidth logical adjusts the width of the box on the basis of sample size, but that doesn't allow comparisons between different plots.

FWIW, I am using the boxplot command in the following fashion, where 'f1' is a factor:

boxplot(xvar ~ f1, data=frame, xlab="input values", horizontal=TRUE)

Answer 1

Here's some ggplot2 code. It's going to display the sample size at the sample mean, making the label multifunctional!

First, a simple function for fun.data

give.n <- function(x){
   return(c(y = mean(x), label = length(x)))
}

Now, to demonstrate with the diamonds data

ggplot(diamonds, aes(cut, price)) + 
   geom_boxplot() + 
   stat_summary(fun.data = give.n, geom = "text")

You may have to play with the text size to make it look good, but now you have a label for the sample size which also gives a sense of the skew.

Answer 2

You can use the names parameter to write the n next to each factor name.

If you don't want to calculate the n yourself you could use this little trick:

# Do the boxplot but do not show it
b <- boxplot(xvar ~ f1, data=frame, plot=0)
# Now b$n holds the counts for each factor, we're going to write them in names
boxplot(xvar ~ f1, data=frame, xlab="input values", names=paste(b$names, "(n=", b$n, ")"))

Answer 3

To get the n on top of the bar, you could use text with the stat details provided by boxplot as follows

b <- boxplot(xvar ~ f1, data=frame, plot=0)
text(1:length(b$n), b$stats[5,]+1, paste("n=", b$n))

The stats field of b is a matrix, each column contains the extreme of the lower whisker, the lower hinge, the median, the upper hinge and the extreme of the upper whisker for one group/plot.

Answer 4

gplots包提供了boxplot.n ，根据文档生成一个用观察数量注释的 boxplot.n 。

Answer 5

I figured out a workaround using the Envstats package. This package needs to be downloaded, loaded and activated using:

library(Envstats)

The stripChart (different from stripchart) does add to the chart some values such as the n values. First I plotted my boxplot. Then I used the add=T in the stripChart. Obviously, many things were hidden in the stripChart code so that they do not show up on the boxplot. Here is the code I used for the stripChart to hide most items.

Boxplot with integrated stripChart to show n values:

stripChart(data.frame(T0_G1,T24h_G1,T96h_G1,T7d_G1,T11d_G1,T15d_G1,T30d_G1), show.ci=F,axes=F,points.cex=0,n.text.line=1.6,n.text.cex=0.7,add=T,location.scale.text="none")

So boxplot

boxplot(data.frame(T0_G1,T24h_G1,T96h_G1,T7d_G1,T11d_G1,T15d_G1,T30d_G1),main="All Rheometry Tests on Egg Plasma at All Time Points at 0.1Hz,0.1% and 37 Set 1,2,3", names=c("0h","24h","96h","7d ", "11d", "15d", "30d"),boxwex=0.6,par(mar=c(8,4,4,2)))

Then stripChart

stripChart(data.frame(T0_G1,T24h_G1,T96h_G1,T7d_G1,T11d_G1,T15d_G1,T30d_G1), show.ci=F,axes=F,points.cex=0,n.text.line=1.6,n.text.cex=0.7,add=T,location.scale.text="none")

You can always adjust the high of the numbers (n values) so that they fit where you want.