How do I set factor levels to the order they appear in a data frame?

Question

I want to create a heat map using ggplot however I want to order the y-axis by the number of observations. I order the dataframe by the column N and add the number of observations to the group name so that it appears in the axis label. When I plot the data it re-orders based on the group name. Is there a way to set factor levels based on the order they appear in the data frame?

Some data:

library(dplyr)

library(tidyr)

library(ggplot2)



school <- c("School A", "SChool B", "School C", "School D", "School E", "School F")

N <- c(25,28,12,22,30,25)

var1 <- c(1,0,1,1,0,1)

var2 <- c(0,0,0,1,0,1)

var3 <- c(0,1,0,1,1,1)



df <- tbl_df (data.frame (school, N, var1, var2, var3))



df <- arrange (df, N) %>%

  gather (variable, value, var1:var3)



df$school <- paste0 (df$school, " (", df$N, ")")



df <- select (df, school, variable, value)



ggplot(df, aes(variable, school)) + geom_tile(aes(fill = value), colour = "white") + 

  scale_fill_gradient(low = "white",high = "steelblue")

Ultimately I want the order of schools to be:

School C (12)

School D (22)

School A (25)

School F (25)

School B (28)

School E (30)

As I want to do this for multiple plots I want to find a way to do this automatically and not have to re-set factor levels each time.

Answer 1

One way around this is to change your ggplot call to

ggplot(df, aes(variable, factor(school, levels = unique(school)))) + ...

To avoid typing this every time, you can create a function

f <- function(x) factor(x, levels = unique(x))

and then call it by ggplot(df, aes(variable, f(school))) + ...

Note that this will place the first level of the factor at the bottom of the plot. If you want it at the top, you need to change f to function(x) factor(x, levels = rev(unique(x)))

How do I set factor levels to the order they appear in a data frame?

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