I have data similar to dat1
:
dat1 <- data.frame(Region = rep(c("r1","r2"), each = 100),
State = rep(c("NY","MA","FL","GA"), each = 10),
Loc = rep(c("a","b","c","d","e","f","g","h"),each = 5),
ID = rep(c(1:10), each=2),
var1 = rnorm(200),
var2 = rnorm(200),
var3 = rnorm(200),
var4 = rnorm(200),
var5 = rnorm(200))
When I run this ggplot()
call normally
ggplot(dat1, aes(x=var1, y="..density..", color = Region))+
geom_density(aes(y=..density..))+
facet_wrap(~Region)
But when I try to turn this into a function it doesn't work:
DensPlot <- function(dat, elm, groupvar){
ggplot(dat1, aes_string(x=elm, y="..density..", color = groupvar))+
geom_density(aes(y=..density..))+
facet_wrap(~groupvar)
}
DensPlot(dat=dat1, elm="var1", groupvar = "Region")
Error: At least one layer must contain all faceting variables: `groupvar`.
* Plot is missing `groupvar`
* Layer 1 is missing `groupvar`
The function will work without facet_wrap()
, only making a single plot. What can I do to get the function to work with facet_wrap()
?
Try to do it this way. Here is an interesting article that may be helpful. https://aosmith.rbind.io/2018/08/20/automating-exploratory-plots/
DensPlot <- function(dat, elm, groupvar){
ggplot(dat,
aes(x=.data[[elm]],
y="..density..",
color = .data[[groupvar]])) +
geom_density(aes(y=..density..)) +
facet_wrap(~.data[[groupvar]])}
DensPlot(dat = dat1, elm = "var1", groupvar = "Region")