Andre Elrico - 1 year ago 47

R Question

Im aware of that thread, but the solution looks kinda long and complicated to me: Is there a quick and easy solution? To add the following vector under the y-axis?

`yLabels <- c("","","n","mn","sd")`

Reproducible data:

`library(ggplot2)`

library(magrittr)

mtcars <- mtcars

values <- rbind(tapply(mtcars$mpg,mtcars$gear,length)) %>% rbind(tapply(mtcars$mpg,mtcars$gear,mean)) %>% rbind(tapply(mtcars$mpg,mtcars$gear,sd)) %>%

round(3)

levels <- rbind(levels(mtcars$gear%>%factor),matrix("",ncol=ncol(values)))

xlabs <- rbind(levels,values) %>% apply(.,2,function(x) {paste(x,collapse="\n")})

ggplot(mtcars, aes(x=factor(gear), y=mpg, fill=factor(gear))) + geom_boxplot() + scale_x_discrete(labels=xlabs)

This is what the above code processes:

This is what i want: Labels under and "in line" with the y-axis. For n, mean and sd

Recommended for you: Get network issues from **WhatsUp Gold**. **Not end users.**

Answer Source

Not the nicest solution but gives you maybe an idea how to solve it in a general way...

```
xlabs <- c('2.5'='\n\nn\nmn\nsd',
rbind(levels,values) %>% apply(.,2,function(x) {paste(x,collapse="\n")}))
ggplot(mtcars, aes(x=gear, y=mpg, fill=factor(gear))) +
geom_boxplot() +
scale_x_continuous(breaks=c(2.5,3,4,5), labels=xlabs) +
theme(axis.ticks.x=element_line(color=c('white', rep('black', length(xlabs[-1])))))
```

I think a trick would be to use numeric values instead of the factor and you could add a tick label close to your limits. This one can than be labeled and the tick mark is white in the and...

Pretty hacky but I guess there is potential...

**EDIT**

Ok, a little bit more general in case of factors:

```
mtcars$test <- as.factor(mtcars$gear)
xlabs <-
c('2.5'='\n\nn\nmn\nsd',
rbind(levels,values) %>%
apply(.,2,function(x) {paste(x,collapse="\n")}))
ggplot(mtcars, aes(x=as.numeric(test), y=mpg, fill=factor(gear))) +
geom_boxplot() +
scale_x_continuous(breaks=c(0.5, seq(1,length(levels(mtcars$test)))),
labels=xlabs) +
theme(axis.ticks.x=element_line(color=c('white',
rep('black', length(xlabs[-1])))))
```

Factors can be represented `as.numeric`

and then these are basically integers starting at 1. So you can just use this to put them on the continuous scale and add an extra break at 0 or 0.5 and add your extra label to the `xlabs`

variable. To hide the tick mark you can just add a white tick plus the number of levels in your column used for the x axis.

Recommended from our users: **Dynamic Network Monitoring from WhatsUp Gold from IPSwitch**. ** Free Download**