fct_reorder() is useful for 1d displays where the factor is mapped to position; fct_reorder2() for 2d displays where the factor is mapped to a non-position aesthetic. last2() and first2() are helpers for fct_reorder2(); last2() finds the last value of y when sorted by x; first2() finds the first value.

fct_reorder(.f, .x, .fun = median, ..., .desc = FALSE)

fct_reorder2(.f, .x, .y, .fun = last2, ..., .desc = TRUE)

last2(.x, .y)

first2(.x, .y)



A factor (or character vector).

.x, .y

The levels of f are reordered so that the values of .fun(.x) (for fct_reorder()) and fun(.x, .y) (for fct_reorder2()) are in ascending order.


n summary function. It should take one vector for fct_reorder, and two vectors for fct_reorder2, and return a single value.


Other arguments passed on to .fun. A common argument is na.rm = TRUE.


Order in descending order? Note the default is different between fct_reorder and fct_reorder2, in order to match the default ordering of factors in the legend.


df <- tibble::tribble( ~color, ~a, ~b, "blue", 1, 2, "green", 6, 2, "purple", 3, 3, "red", 2, 3, "yellow", 5, 1 ) df$color <- factor(df$color) fct_reorder(df$color, df$a, min)
#> [1] blue green purple red yellow #> Levels: blue red purple yellow green
fct_reorder2(df$color, df$a, df$b)
#> [1] blue green purple red yellow #> Levels: purple red blue green yellow
boxplot(Sepal.Width ~ Species, data = iris)
boxplot(Sepal.Width ~ fct_reorder(Species, Sepal.Width), data = iris)
boxplot(Sepal.Width ~ fct_reorder(Species, Sepal.Width, .desc = TRUE), data = iris)
chks <- subset(ChickWeight, as.integer(Chick) < 10) chks <- transform(chks, Chick = fct_shuffle(Chick)) if (require("ggplot2")) { ggplot(chks, aes(Time, weight, colour = Chick)) + geom_point() + geom_line() # Note that lines match order in legend ggplot(chks, aes(Time, weight, colour = fct_reorder2(Chick, Time, weight))) + geom_point() + geom_line() + labs(colour = "Chick") }
#> Loading required package: ggplot2