I want to plot a data frame within a function. The legend should be ordered in a specific way. To keep things simple in my example I just reverse the order. I actually want to select a specific row and push it to the last position of the legend.
By the way I am creating a new R package, if this is in any way relevant.
Plotting outside of a function
attach(iris)
library(ggplot2)
# This is a normal plot
p <- ggplot(iris, aes(x = Sepal.Width, y = Sepal.Length, fill = Species) ) +
geom_bar( stat = "identity")
p
# This is a plot with reversed legend
iris$Species <- factor(iris$Species, levels = rev(levels(iris$Species)))
p <- ggplot(iris, aes(x = Sepal.Width, y = Sepal.Length, fill = Species) ) +
geom_bar( stat = "identity")
p
Plotting inside a function
The most simple approach was just to use variables, which obviously doesn't work
f1 <- function(myvariable) {
iris$myvariable <- factor(iris$myvariable, levels = rev(levels(iris$myvariable)))
p <- ggplot(iris, aes(x = Sepal.Width, y = Sepal.Length, fill = Species) ) +
geom_bar( stat = "identity")
p
}
f1("Species")
#> Error in `$<-.data.frame`(`*tmp*`, myvariable, value = integer(0)) :
replacement has 0 rows, data has 150
I tried to use quasiquotation, but this approach only let me plot the data frame. I cannot reverse the order yet.
library(rlang)
# Only plotting works
f2 <- function(myvariable) {
v1 <- ensym(myvariable)
p <- ggplot(iris, aes(x = Sepal.Width, y = Sepal.Length, fill = eval(expr(`$`(iris, !!v1))))) +
geom_bar( stat = "identity")
p
}
f2("Species")
# This crashes
f3 <- function(myvariable) {
v1 <- ensym(myvariable)
expr(`$`(iris, !!v1)) <- factor(expr(`$`(iris, !!v1)), levels = rev(levels(expr(`$`(iris, !!v1)))))
p <- ggplot(iris, aes(x = Sepal.Width, y = Sepal.Length, fill = eval(expr(`$`(iris, !!v1))))) +
geom_bar( stat = "identity")
p
}
f3("Species")
#> Error in `*tmp*`$!!v1 : invalid subscript type 'language'
So the main problem is, that I cannot assign something using quasiquotation.
A couple of things:
[[
instead of $
to access data frame columns programmatically.ggplot
's aes_string
to minimize notes during R CMD check (since you mentioned you're doing a package).fct_relevel
from package forcats
.Which translates to:
f <- function(df, var) {
lev <- levels(df[[var]])
df[[var]] <- forcats::fct_relevel(df[[var]], lev[1L], after = length(lev) - 1L)
ggplot(df, aes_string(x = "Sepal.Width", y = "Sepal.Length", fill = var)) +
geom_bar(stat = "identity")
}
f(iris, "Species")