I have followed data example
df <- tibble(var1 = factor(c("a", "a", "a", "b", "b", "c", "c", "c")),
var2 = factor(c("a", "b", "b", "c", "c", "c", "d", "d")))
I would like to summarise this data as one row and three columns (1X3) in tibble format. Where the first column show the counting of similar row values, the second column show the counting of different and the third column the total of values with final format as:
final <- tibble(equal = 2, different = 6, total = 8)
thank you all
CodePudding user response:
You could use
library(dplyr)
df %>%
summarise(equal = sum(as.numeric(var1) == as.numeric(var2)),
different = sum(as.numeric(var1) != as.numeric(var2)),
total = n())
This returns
# A tibble: 1 x 3
equal different total
<int> <int> <int>
1 2 6 8