R

%in% r

library(dplyr)

home.dests <- c("St Louis, MO", "New York, NY", "Hudson, NY")

# Subsetting using %in% in R:
dataf %>%
  filter(home.dest %in% home.dests)
Code language: R (r)

%in% in R

1:2 %in% rep(1:2,5)
#[1] TRUE TRUE

rep(1:2,5) %in% 1:2
#[1] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE

#Note this output is longer in second

%in% in r

by_type_year_tag_filtered <- by_type_year_tag %>%
  filter(tag_name %in% c("dplyr", "ggplot2"))