A frequency table counts up the number of times each level of a categorical variable appears in the data.
We’ll make a frequency table using the msleep dataset that comes from tidyverse. msleep contains some data about how much different kinds of mammals sleep. Here’s what the first few rows of msleep look like.
# A tibble: 6 × 11
name genus vore order conservation sleep_total sleep_rem sleep_cycle awake
<chr> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl>
1 Cheetah Acin… carni Carn… lc 12.1 NA NA 11.9
2 Owl mo… Aotus omni Prim… <NA> 17 1.8 NA 7
3 Mounta… Aplo… herbi Rode… nt 14.4 2.4 NA 9.6
4 Greate… Blar… omni Sori… lc 14.9 2.3 0.133 9.1
5 Cow Bos herbi Arti… domesticated 4 0.7 0.667 20
6 Three-… Brad… herbi Pilo… <NA> 14.4 2.2 0.767 9.6
# ℹ 2 more variables: brainwt <dbl>, bodywt <dbl>
To make a frequency table for the variable vore, we take our data frame and pipe it into the tidyverse function count(). Inside the parentheses of count(), we name the column that we want to make the frequency table for.
# A tibble: 5 × 2
vore n
<chr> <int>
1 carni 19
2 herbi 32
3 insecti 5
4 omni 20
5 <NA> 7