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Good day, I wish to produce a graphic using ggplot2, but not using its default sorting of the categorical variable (alphabetically, in script: letters), but using the associated value of a continuous variable (in script: number) .
Here is an example script:
library(ggplot2)
trial<-data.frame(letters=letters, numbers=runif(n=26,min=1,max=26))
trial<-trial[sample(1:26,26),]
trial.plot<-qplot(x=numbers, y=letters, data=trial)
trial.plot
trial<-trial[order(trial$numbers),]
trial.plot<-qplot(x=numbers, y=letters, data=trial)
trial.plot
trial.plot+stat_sort(variable=numbers)
The last line does not work.
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One way to change the level order is to use factor() on the factor and specify the order directly. In this example, the function ordered() could be used instead of factor() . Another way to change the order is to use relevel() to make a particular level first in the list.
To reorder the boxplot we will use reorder() function of ggplot2. By default, ggplot2 orders the groups in alphabetical order. But for better visualization of data sometimes we need to reorder them in increasing and decreasing order. This is where the reorder() function comes into play.
To sort a data frame in R, use the order( ) function. By default, sorting is ASCENDING. Prepend the sorting variable by a minus sign to indicate DESCENDING order.
Factor in R is a variable used to categorize and store the data, having a limited number of different values. It stores the data as a vector of integer values. Factor in R is also known as a categorical variable that stores both string and integer data values as levels.
I'm pretty sure stat_sort does not exist, so it's not surprising that it doesn't work as you think it should. Luckily, there's the reorder() function which reorders the level of a categorical variable depending on the values of a second variable. I think this should do what you want:
trial.plot <- qplot( x = numbers, y = reorder(letters, numbers), data = trial)
trial.plot
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