Subset data by presence of multiple values in a single cell

user_14769892 0
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This is an embarrassingly simple question but I'm genuinely stuck and none of the other threads seem to address it.

I have a dataset that has over 20,000 rows, and there is one column that contains multiple codes explaining which demographic criteria the individual occupies.

Data:

ORGNAME D_CODE
A ~001, ~002
A ~001
B ~003, ~004
B ~001, ~005
B ~002, ~004
C ~001

I want to subset the data whereby I only keep rows that contain ~001, but I want this to include rows that also contain other values (i.e. row 1 which has ~001 and ~002).

I have tried using %>%, filter, subset, etc. but although they select ~001 rows, they also remove entries that have ~001 and additional codes, so using the example data above, instead of ending up with 4 rows, I end up with only 2.

Any solutions? Thank you so much!

subset r
2 Answers

Does this work:

library(dplyr)
library(stringr)
df %>% filter(str_detect(D_CODE, '001'))
  ORGNAME     D_CODE
1       A ~001, ~002
2       A       ~001
3       B ~001, ~005
4       C       ~001

Data used:

df
  ORGNAME     D_CODE
1       A ~001, ~002
2       A       ~001
3       B ~003, ~004
4       B ~001, ~005
5       B ~002, ~004
6       C       ~001
user_107227520

Using base R with grepl

subset(df, grepl('001', D_CODE))
user_37322710
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