help
1
hi I have a column in my data like this:
is_animal
TRUE
FALSE
TRUE
TRUE
TRUE
FALSE
TRUE
code:
data %>%
mutate(flag = ifelse(is_animal == TRUE, "Animal", "NO"))
is the above the preferred way to go about creating this variable ? I tried using below:
data %>%
mutate(x = ifelse(isTRUE(is_animal == TRUE), "Animal", "NO))
and I got all of the columns "NO"... so not one were "Animal". which is so strange. any advices appreciated thank u !!
FJCC
2
Your code works for me, as does a modified version that takes advantage of the fact that the is_animal column is already a boolean.
library(dplyr)
#>
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#>
#> filter, lag
#> The following objects are masked from 'package:base':
#>
#> intersect, setdiff, setequal, union
data <- data.frame(is_animal=c(TRUE,FALSE,TRUE,TRUE,TRUE,FALSE,TRUE))
data
#> is_animal
#> 1 TRUE
#> 2 FALSE
#> 3 TRUE
#> 4 TRUE
#> 5 TRUE
#> 6 FALSE
#> 7 TRUE
data %>%
mutate(flag = ifelse(is_animal == TRUE, "Animal", "NO"))
#> is_animal flag
#> 1 TRUE Animal
#> 2 FALSE NO
#> 3 TRUE Animal
#> 4 TRUE Animal
#> 5 TRUE Animal
#> 6 FALSE NO
#> 7 TRUE Animal
data %>%
mutate(flag = ifelse(is_animal, "Animal", "NO"))
#> is_animal flag
#> 1 TRUE Animal
#> 2 FALSE NO
#> 3 TRUE Animal
#> 4 TRUE Animal
#> 5 TRUE Animal
#> 6 FALSE NO
#> 7 TRUE Animal
Created on 2022-09-30 with reprex v2.0.2
Is it possible that your is_animal column is text instead of a logical value? What is the result of
class(data$is_animal)
1 Like
help
3
it is a logical value! your second option works great for me
it seems cleaner than mine.thank u!
system
Closed
4
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