I have a bar chart with text labels along the x-axis. Some of the labels are quite lengthy and I would like to make them look neater. Any ideas of how I might achieve that?
library(sjPlot)
require(ggplot2)
require(ggthemes)
WAM_3_plot <- sjp.frq(WAM_Dec13_R2$WAM_3, title= c("WAM Item 3"),
axisLabels.x=c("Disruptive behaviour can be contained and does not spread to other patients. Generally, behaviour on the ward is positive and pro-therapeutic.",
"1", "2","3","4",
"Disruptive behaviour by one patient tends to spread to other patients and is only contained with great difficulty. The general level of behaviour seems to be getting more counter-therapeutic."),
barColor = c("palegreen4", "palegreen3", "palegreen2", "brown1", "brown2", "brown3"),
upperYlim = 25,
valueLabelSize = 5,
axisLabelSize = 1.2,
breakLabelsAt=14, returnPlot=TRUE)
WAM_3_plot + theme(axis.text.x=element_text(hjust=0.5))
You may change the breakLabelsAt
parameter, decrease the axisLabelSize
and set flipCoordinates
to TRUE, then you get similar results. I used the efc-sample data set which is included in the sjPlot-package:
data(efc)
sjp.frq(efc$e42dep, title=c("WAM Item 3"),
axisLabels.x=c("Disruptive behaviour can be contained and does not spread to other patients. Generally, behaviour on the ward is positive and pro-therapeutic.",
"1", "2",
"Disruptive behaviour by one patient tends to spread to other patients and is only contained with great difficulty. The general level of behaviour seems to be getting more counter-therapeutic."),
valueLabelSize=5,
axisLabelSize=.8,
breakLabelsAt=50,
flipCoordinates=T)
Like this?
Since you didn't provide any data, we have no way of knowing what your attempt looks like, but this seems like it might be close. The main feature is the use of strwrap(...)
to insert CR (\n
) into your labels.
set.seed(1)
library(ggplot2)
axisLabels.x <- c("Disruptive behaviour can be contained and does not spread to other patients. Generally, behaviour on the ward is positive and pro-therapeutic.",
"1", "2","3","4",
"Disruptive behaviour by one patient tends to spread to other patients and is only contained with great difficulty. The general level of behaviour seems to be getting more counter-therapeutic.")
labels.wrap <- lapply(strwrap(axisLabels.x,50,simplify=F),paste,collapse="\n") # word wrap
gg <- data.frame(x=LETTERS[1:6], y=sample(1:10,6))
ggplot(gg) +
geom_bar(aes(x,y, fill=x), stat="identity")+
scale_x_discrete(labels=labels.wrap)+
scale_fill_discrete(guide="none")+
labs(x="",y="Response")+
coord_flip()
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