How to use dplyr to generate a frequency table

I like to create a table that has the frequency of several columns in my data frame. I am copying part of my data frame below.

The table is supposed to have frequency (both n and %) of "red" in Color and "F" in Gender.

I think that the dplyr package could do this but I cannot figure it out.

Thank you-

    RespondentID    Color        Gender   
1     1503          Red           F      
2     1653          NA            M   
3     1982          Red           F   
4     4862          Red           NA   
15    4880          Blue          M  

Answers


library(dplyr)

df %>%
  count(Color, Gender) %>%
  group_by(Color) %>%          # now required with changes to dplyr::count()
  mutate(prop = prop.table(n))

# Source: local data frame [4 x 4]
# Groups: Color [3]
# 
#    Color Gender     n      prop
#   (fctr) (fctr) (int)     (dbl)
# 1   Blue      M     1 1.0000000
# 2    Red      F     2 0.6666667
# 3    Red     NA     1 0.3333333
# 4     NA      M     1 1.0000000

Updating per comment -- if you want to look at each variable separately, you will need to rearrange the dataframe first. You can accomplish this with tidyr:

library(tidyr)
library(dplyr)

gather(df, "var", "value", -RespondentID) %>%
  count(var, value) %>%
  group_by(var) %>%             # now required with changes to dplyr::count()
  mutate(prop = prop.table(n))

# Source: local data frame [6 x 4]
# Groups: var [2]
# 
#      var value     n  prop
#   (fctr) (chr) (int) (dbl)
# 1  Color  Blue     1   0.2
# 2  Color   Red     3   0.6
# 3  Color    NA     1   0.2
# 4 Gender     F     2   0.4
# 5 Gender     M     2   0.4
# 6 Gender    NA     1   0.2

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