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How to find the column means by factor levels in R?
To find the column means by factor levels, we can use summarise function along with mean function after creating the group of factor levels with group_by function.
For example, if we have a data frame called df that contains a factor column say F and a numerical column say Num then we can find the mean of Num column by factor levels by using the below given command −
df%>%group_by(F)%>%summarise(Average=mean(Num))
Example 1
Following snippet creates a sample data frame −
grp<-sample(LETTERS[1:4],20,replace=TRUE) response<-rpois(20,5) df1<-data.frame(grp,response) df1
The following dataframe is created −
grp response 1 A 5 2 B 3 3 A 4 4 D 6 5 A 7 6 A 5 7 B 2 8 A 3 9 A 7 10 C 1 11 B 9 12 B 5 13 D 3 14 B 5 15 D 1 16 A 9 17 D 9 18 C 7 19 D 6 20 B 3
To load dplyr package and find the mean of response by factor levels in column grp, add the following code to the above snippet −
library(dplyr) df1%>%group_by(grp)%>%summarise(Average=mean(response)) `summarise()` ungrouping output (override with `.groups` argument) # A tibble: 4 x 2
Output
If you execute all the above given snippets as a single program, it generates the following output −
grp Average <chr> <dbl> 1 A 5.71 2 B 4.5 3 C 4 4 D 5
Example 2
Following snippet creates a sample data frame −
Class<-sample(c("I","II","III"),20,replace=TRUE)
DP<-sample(1:10,20,replace=TRUE)
df2<-data.frame(Class,DP)
df2The following dataframe is created −
Class DP 1 II 10 2 I 10 3 I 7 4 II 4 5 II 1 6 II 2 7 III 8 8 I 6 9 II 4 10 I 4 11 III 4 12 I 4 13 I 10 14 III 8 15 III 3 16 II 3 17 III 5 18 I 3 19 III 9 20 I 6
To find the mean of DP by factor levels in column Class, add the following code to the above snippet −
df2%>%group_by(Class)%>%summarise(Average=mean(DP)) `summarise()` ungrouping output (override with `.groups` argument) # A tibble: 3 x 2
Outpu
If you execute all the above given snippets as a single program, it generates the following output −
Class Average <chr> <dbl> 1 I 6.25 2 II 4 3 III 6.17
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