I've run this code
var <- c("A","A","A","A","B","B","B","B","B","B","C","C","C")
table(var)
> table(var)
var
A B C
4 6 3
The maximum frequency is 6, for factor "B". Is there a function that just returns the name of the factor which has the highest frequency, "B". Any help greatly appreciated. Thanks
A possible solution:
library(tidyverse)
var <- c("A","A","A","A","B","B","B","B","B","B","C","C","C")
table(var) %>% which.max %>% names
#> [1] "B"
In base R:
names(which.max(table(var)))
Using tidyverse:
library(tidyverse)
var <- c("A","A","A","A","B","B","B","B","B","B","C","C","C")
df <- tibble(var = var)
df %>%
count(var,sort = TRUE) %>%
slice(1) %>%
pull(var)
#> [1] "B"
Created on 2021-11-17 by the reprex package (v2.0.1)
