filter function non binary data

How do I use the filter function from the dplyr package in studio to remove messy data? My csv file has a column of data which is supposed to be binary, but there is non binary data greater than 1 (values of 2). How do I filter this out my dataset?

Welcome to R community.
You may start by reading how to post a question here for faster responses:

However, since this is your first post we will help you straight off.

Your problem is straightforward.

library(tidyverse)
# assume you have this dataframe, with few values of y that are 1 or 0 and you want to filter those rows.
df <- tribble(
  ~x, ~y, 
  "A",1,
  "B",2,
  "C",0,
  "D",-1,
  "E",NA
)
df
#> # A tibble: 5 × 2
#>   x         y
#>   <chr> <dbl>
#> 1 A         1
#> 2 B         2
#> 3 C         0
#> 4 D        -1
#> 5 E        NA

# filtering y to be in a set of values
df %>% filter(y %in% c(0,1))
#> # A tibble: 2 × 2
#>   x         y
#>   <chr> <dbl>
#> 1 A         1
#> 2 C         0
Created on 2022-05-07 by the reprex package (v2.0.1)

Happy learning R