I have this dataframes
D1$document = Emily 1.1.1.1. D2$user_name = Emily
I wish to match whether D2 to D1, and if D2$user_name column value (by row) is contained within the D1$document value by row too, then add D2$user_name corresponding value found in a new column in D1 called also D1$user_name.
I have tried str_detect, match etc but I can't seem to get it right?
unigram_data$user_name <- unigram_data %>% mutate(user_name = ifelse(str_detect(as.character(unigram_data$document)
, as.character(review_corpus$user_name)),
cbind(user_name = review_corpus$user_name),
NA
))
Thank you!
Yea, it's really impossible to give you exact advise without a reproducible minimal example. However, here is a general example using case_when
and str_detect
dplyr::starwars %>%
select(name,homeworld,species) %>%
mutate(IsHuman = str_detect(species,'Human')) %>%
mutate(HumanFromNaboo = case_when(
species == 'Human' & IsHuman == T ~ T,
T ~ F
))
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