I would like to get multiple frequency tables within a single table.
Here is my data:
df<-read.table(text=" group score night ticket book gender course
A Y 1 0 0 Male M
A Y 1 0 0 Female N
A N 1 1 1 Female N
A Y 2 1 1 Female M
A Y 2 1 1 Male N
A Y 2 0 0 Female N
A N 3 1 0 Male N
B N 3 1 1 Female N
B N 1 0 1 Female M
B Y 1 0 1 Female M",header=TRUE)and the output would be :
Frequency Percent
Group
A 7 70
B 3 30
score
Y 4 40
N 6 60
night
1 5 50
2 3 30
3 2 20
book
0 4 40
1 6 60
gender
Female 7 70
Male 3 30
course
M 4 40
N 6 60I have used the following codes:
df%>%
group_by( group, score, night, ticket, book, gender, course) %>%
summarise(n = n()) %>%
mutate(freq = n / sum(n)But it did not work for.