I’m brand new to R so I’m sorry if this is a dumb question. I am working on an exercise that states “for tibble student_data, exclude caucasians.” We are using tidyverse, so I know that it starts… student_data %>% I get lost from there. I can’t find anything about it online. Any help would be greatly appreciated
As I mentioned, I know it starts student_data %>% I’ve tried filter, mutate, etc. Maybe I’m not using it correctly
library(tidyverse)
# Make fake data
fake_df <- tibble::tibble(
ethnicity = rep(c("Caucasian", "Non-Caucasian"),5),
fake_column1 = 1:10
)
fake_df
#> # A tibble: 10 × 2
#> ethnicity fake_column1
#> <chr> <int>
#> 1 Caucasian 1
#> 2 Non-Caucasian 2
#> 3 Caucasian 3
#> 4 Non-Caucasian 4
#> 5 Caucasian 5
#> 6 Non-Caucasian 6
#> 7 Caucasian 7
#> 8 Non-Caucasian 8
#> 9 Caucasian 9
#> 10 Non-Caucasian 10
filtered_fake <- fake_df %>%
# Filter out rows where ethnicity is "Caucasian"
filter(ethnicity != "Caucasian")
# Check results
filtered_fake
#> # A tibble: 5 × 2
#> ethnicity fake_column1
#> <chr> <int>
#> 1 Non-Caucasian 2
#> 2 Non-Caucasian 4
#> 3 Non-Caucasian 6
#> 4 Non-Caucasian 8
#> 5 Non-Caucasian 10
Created on 2022-09-09 by the reprex package (v2.0.1)
