dplyr verbs:
select
R has an amazing set of libraries called the tidyverse. It contains a
set of packages that play well together. A core library in this set is
dplyr which contains verbs to help you analyse data. In this series
of videos we'll give a quick overview of them.
Notes
Once again we assume that you've got the dataframe set up appropriately.
library(tidyverse)
# This command makes sure that the chickweight dataframe is clean.
df <- ChickWeight %>% ungroup() %>% as.data.frame()
You can select columns but you can also deselect them.
# Select the columns to keep.
df %>%
filter(Diet == 3) %>%
mutate(growth = weight/(Time + 1)) %>%
select(weight, Time, Chick, growth)
# Select the columns to remove.
df %>%
filter(Diet == 3) %>%
mutate(growth = weight/(Time + 1)) %>%
select(-Diet, -weight)
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