filter a dataframe with many conditions R

April 20, 2022

I have a large dataframe (named P) with productnumbers and i want to filter the dataframe with another dataframe (named Numb) of numbers.

Productnumb Price Store 
1000           2     A
1001           9     D
1002           1     B
1003           3     A
...
9999           8     D

The numb dataframe could also be a list. numb Dataframe below:

Good_products
1003
1009
...
9999

Expected output

Good_products Price Store
1003             3   A
1009            11   G
...
9999             8   D

i tried P <- P %>% filter(Productnumb == Numb$Good_products)
I know it is working for 1 or 2 conditions but i have to filter on a lot of conditions, so is there a possibility to filter on large list/dataframes of numbers (as condition)?

>Solution :

inner_join might be a quick and easy way to "filter" by a list of good products:

library(dplyr)

# Some simulated data
P <- tibble(
  ProductNum = 1000:1999,
  Price = sample(1:20, 1000, replace = TRUE),
  Store = sample(LETTERS, 1000, replace = TRUE)
)

# A sample of "good products"
Numb <- tibble(GoodProducts = sample(P$ProductNum, 400))


P %>% 
  inner_join(Numb, by = c("ProductNum" = "GoodProducts"))

#> # A tibble: 400 x 3
#>    ProductNum Price Store
#>         <int> <int> <chr>
#>  1       1001    14 H    
#>  2       1004     9 Q    
#>  3       1008     6 B    
#>  4       1014    17 Z    
#>  5       1018    18 Q    
#>  6       1020     3 P    
#>  7       1026    14 G    
#>  8       1031    16 L    
#>  9       1034     2 W    
#> 10       1037    14 P    
#> # ... with 390 more rows

Other steps will sort of depend on how you want to filter. You can pipe a filter (such as Price < 10) as a next step, or do further inner_joins. This admittedly is just another way of doing what you had noted above so not sure if it solves your problem. Adding lots of conditions to filter should work fine as well.

^{Created on 2022-04-20 by the reprex package (v2.0.1)}