Hello,
Welcome to RStudio Community.
It would be helpful if you were to provide a "reproducible example", detailed here:
FAQ: What's a reproducible example (reprex) and how do I create one?
I believe you are talking about filtering. Here is an example using dplyr:
library(tidyverse)
diamonds
#> # A tibble: 53,940 x 10
#> carat cut color clarity depth table price x y z
#> <dbl> <ord> <ord> <ord> <dbl> <dbl> <int> <dbl> <dbl> <dbl>
#> 1 0.23 Ideal E SI2 61.5 55 326 3.95 3.98 2.43
#> 2 0.21 Premium E SI1 59.8 61 326 3.89 3.84 2.31
#> 3 0.23 Good E VS1 56.9 65 327 4.05 4.07 2.31
#> 4 0.29 Premium I VS2 62.4 58 334 4.2 4.23 2.63
#> 5 0.31 Good J SI2 63.3 58 335 4.34 4.35 2.75
#> 6 0.24 Very Good J VVS2 62.8 57 336 3.94 3.96 2.48
#> 7 0.24 Very Good I VVS1 62.3 57 336 3.95 3.98 2.47
#> 8 0.26 Very Good H SI1 61.9 55 337 4.07 4.11 2.53
#> 9 0.22 Fair E VS2 65.1 61 337 3.87 3.78 2.49
#> 10 0.23 Very Good H VS1 59.4 61 338 4 4.05 2.39
#> # ... with 53,930 more rows
diamonds$cut %>% unique()
#> [1] Ideal Premium Good Very Good Fair
#> Levels: Fair < Good < Very Good < Premium < Ideal
best_diamonds = diamonds %>%
filter(cut %in% c("Ideal", "Premium"))
best_diamonds
#> # A tibble: 35,342 x 10
#> carat cut color clarity depth table price x y z
#> <dbl> <ord> <ord> <ord> <dbl> <dbl> <int> <dbl> <dbl> <dbl>
#> 1 0.23 Ideal E SI2 61.5 55 326 3.95 3.98 2.43
#> 2 0.21 Premium E SI1 59.8 61 326 3.89 3.84 2.31
#> 3 0.29 Premium I VS2 62.4 58 334 4.2 4.23 2.63
#> 4 0.23 Ideal J VS1 62.8 56 340 3.93 3.9 2.46
#> 5 0.22 Premium F SI1 60.4 61 342 3.88 3.84 2.33
#> 6 0.31 Ideal J SI2 62.2 54 344 4.35 4.37 2.71
#> 7 0.2 Premium E SI2 60.2 62 345 3.79 3.75 2.27
#> 8 0.32 Premium E I1 60.9 58 345 4.38 4.42 2.68
#> 9 0.3 Ideal I SI2 62 54 348 4.31 4.34 2.68
#> 10 0.24 Premium I VS1 62.5 57 355 3.97 3.94 2.47
#> # ... with 35,332 more rows
Created on 2021-12-16 by the reprex package (v2.0.1)