Add row_count() to count specific values row-wise
#553
Conversation
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I feel I'm always the one reluctant to add new functions here (sorry about that 😅) but this feels like a very narrow usecase, especially since it's possible to do it in a few lines (unless I'm missing sth): library(datawizard)
dat <- data.frame(
c1 = c("1", "2", NA, "3"),
c2 = c(NA, "2", NA, "3"),
c3 = c(NA, 4, NA, NA),
c4 = c(2, 3, 7, Inf)
)
data_modify(
dat,
count_2 = rowSums(dat == 2, na.rm = TRUE),
count_3 = rowSums(dat == 3, na.rm = TRUE)
)
#> c1 c2 c3 c4 count_2 count_3
#> 1 1 <NA> NA 2 1 0
#> 2 2 2 4 3 2 1
#> 3 <NA> <NA> NA 7 0 0
#> 4 3 3 NA Inf 0 2I haven't looked at the other PRs on |
Yes, you're missing something :-) library(datawizard)
dat <- data.frame(
c1 = c("1", "2", NA, "3"),
c2 = c(NA, "2", NA, "3"),
c3 = c(NA, 4, NA, NA),
c4 = c(2, 3, 7, Inf)
)
data_modify(
dat,
count__2 = rowSums(dat == 2, na.rm = TRUE),
count_string_2 = rowSums(dat == "2", na.rm = TRUE)
)
#> c1 c2 c3 c4 count__2 count_string_2
#> 1 1 <NA> NA 2 1 1
#> 2 2 2 4 3 2 2
#> 3 <NA> <NA> NA 7 0 0
#> 4 3 3 NA Inf 0 0
row_count(dat, count = 2)
#> [1] 1 2 0 0
row_count(dat, count = "2")
#> [1] 1 2 0 0
row_count(dat, count = 2, exact = TRUE)
#> [1] 1 0 0 0
row_count(dat, count = "2", exact = TRUE)
#> [1] 0 2 0 0 |
Not that seldom use case if you work with single items that you want to turn into scales (something we do often)
Where would you add a feature for rowwise operations? And: |
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Great! What about the argument name |
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I think |
etiennebacher
changed the title
row_count()row_count() to count specific values row-wise
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Thanks! |
@etiennebacher not sure if you think
exactis the best argument name, I'm open for any better suggestions.