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)

## Arguments

.f A factor (or character vector). 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.

## Examples

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)
#>  blue   green  purple red    yellow
#> Levels: blue red purple yellow greenfct_reorder2(df$color, df$a, df\$b)
#>  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  