It is useful to provide a "reproducible example" for people to help you:
FAQ: What's a reproducible example (reprex
) and how do I create one?
Let me make a dataframe:
library(dplyr)
df = tibble(country = c("UK", "USA", "CA"))
To filter for just the UK and USA, I'd write:
filter(df, country %in% c("UK", "USA"))
In a function, a comma normally means you are providing something to another argument. You want to provide filter()
a vector of countries using c()
, like I have.
Tidyverse functions like filter()
usually take a dataframe as their first argument - in my case df
. Then for filter()
you can provide any number of logical statments using the columns in your dataframe. In my case I'm saying country
has to be %in%
the vector c("UK", "USA")
. The code will therefore remove Canda from the dataframe and print it to the console.
I could save this new dataframe instead:
uk_usa <- filter(df, country %in% c("UK", "USA"))
If you would like to learn the Tidyverse, consider: https://r4ds.had.co.nz/