regex - ifelse pattern matching in r -

i fill in new column 1 of 2 values if pattern matched.

here data frame:

df <- structure(list(loc_01 = c("apis", "indu", "isro", "miss", "non_apis",  "non_indu", "non_isro", "non_miss", "non_piro", "non_sacn", "non_slbe",  "non_voya", "piro", "sacn", "slbe", "voya"), loc01_land = c(165730500,  62101800, 540687600, 161140500, 1694590200, 1459707300, 1025051400,  1419866100, 2037064500, 2204629200, 1918840500, 886299300, 264726000,  321003900, 241292700, 530532000)), class = "data.frame", row.names = c(na,  -16l), .names = c("loc_01", "loc01_land")) 

and looks this...

     loc_01 loc01_land 1      apis  165730500 2      indu   62101800 3      isro  540687600 4      miss  161140500 5  non_apis 1694590200 6  non_indu 1459707300 7  non_isro 1025051400 8  non_miss 1419866100 9  non_piro 2037064500 10 non_sacn 2204629200 11 non_slbe 1918840500 12 non_voya  886299300 13     piro  264726000 14     sacn  321003900 15     slbe  241292700 16     voya  530532000 

i add column df, called 'loc_01'. if loc_01 contains non, return 'outside', if not contain non, return 'inside'. ifelse statement, i'm missing because returns false value.

df$loc01 <- ifelse(df$loc_01=="non",'outside','inside') 

and resulting df...

     loc_01 loc01_land  loc01 1      apis  165730500 inside 2      indu   62101800 inside 3      isro  540687600 inside 4      miss  161140500 inside 5  non_apis 1694590200 inside 6  non_indu 1459707300 inside 7  non_isro 1025051400 inside 8  non_miss 1419866100 inside 9  non_piro 2037064500 inside 10 non_sacn 2204629200 inside 11 non_slbe 1918840500 inside 12 non_voya  886299300 inside 13     piro  264726000 inside 14     sacn  321003900 inside 15     slbe  241292700 inside 16     voya  530532000 inside 

thanks -al

to check if string contains substring, can't use == because performs exact matching (i.e. returns true if string "non").
use example grepl function (belonging grep family of functions) performs pattern matching:

df$loc01 <- ifelse(grepl("non",df$loc_01),'outside','inside') 

result :

> df      loc_01 loc01_land   loc01 1      apis  165730500  inside 2      indu   62101800  inside 3      isro  540687600  inside 4      miss  161140500  inside 5  non_apis 1694590200 outside 6  non_indu 1459707300 outside 7  non_isro 1025051400 outside 8  non_miss 1419866100 outside 9  non_piro 2037064500 outside 10 non_sacn 2204629200 outside 11 non_slbe 1918840500 outside 12 non_voya  886299300 outside 13     piro  264726000  inside 14     sacn  321003900  inside 15     slbe  241292700  inside 16     voya  530532000  inside