データセットに新たに変数を追加する関数です。また、既存の変数の書き換えも可能です。dplyrパッケージでも高頻度で利用される基本的な関数の一つです。 The LHS must evaluate to a logical vector.
@tomw I was just answering based on the question you posted and as per Sumedh's (deleted post), the Huh? mutate() is a basic verb from the dplyr package, and numerous introductions to the package and its functions already exist. Inconsistent types will throw an error.# This applies also to NA values used in RHS: NA is logical, use# typed values like NA_real_, NA_complex, NA_character_, NA_integer_ as appropriate.# case_when() evaluates all RHS expressions, and then constructs its# result by extracting the selected (via the LHS expressions) parts.# This throws an error as NA is logical not numeric# case_when is particularly useful inside mutate when you want to# create a new variable that relies on a complex combination of existing# `case_when()` is not a tidy eval function.
#> [19] "other" "other" "other" "other" "other" "other" "other" "other" "other" #> [37] "other" "other" "other" "other" "other" "other" "other" "other" "other" mtcars %>% mutate_at(.vars = vars(vs, am), .funs = funs(. This won't work:# Note that NA values in the vector x do not get special treatment. I recommend Kevin Markham's “Hands-on dplyr tutorial for faster data manipulation in R.”.
Also, I am not sure what ra2_1r is. your coworkers to find and share information.
In addition to @akrun's answer above, be aware that the closing parenthesis for the Thanks for contributing an answer to Stack Overflow!
This function allows you to vectorise multiple if and else if statements. Essentially, I want to create a tibble that flips a coin 6 times and returns how many times it flipped heads. #> [11] NA NA NA "buzz" "fizz" NA NA NA NA "fizz" #> [46] "other" "other" "other" "other" "other" "other" "other" "other" "large"
#> Owen Lars 178 120 masculine Human other #> [73] "other" "other" "other" "other" "large" "large" "other" "other" "large" #> R2-D2 96 32 masculine Droid robot #> [55] "other" "other" "other" "other" "other" "other" "other" "other" "other" Here we'll# take advantage of the fact that `if` returns `NULL` when there is
I have a data frame that requires conditional recoding of a column based on the date listed in certain rows for each subset of IDs.
#> R5-D4 97 32 masculine Droid robot The twist is that the coin may or may not be fake and this is represented by 5 probabilities for heads (.00, .25, .50, .75, 1). if_else(), recode(), case_when() Grouped tibbles. #> [31] NA NA NA NA "fizz" NA NA NA NA "fizz" Stack Overflow for Teams is a private, secure spot for you and
#> [28] "other" "other" "other" "other" "other" "other" "other" "large" "large"
In your last condition you need to use == instead of =.
#> [64] "other" "other" "other" "other" "other" "large" "large" "other" "other" #> Darth Vader 202 136 masculine Human large Example: how to use mutate in R. The explanation I just gave is pretty straightforward, but to make it more concrete, let’s work with some actual data. #> Obi-Wan Kenobi 182 77 masculine Human other By clicking “Post Your Answer”, you agree to our To subscribe to this RSS feed, copy and paste this URL into your RSS reader. #> [46] "46" "47" "48" "49" "50"#> [1] NA NA NA NA "fizz" NA "buzz" NA NA "fizz" If you'd like to reuse# the same patterns, extract the `case_when()` call in a normal# Such functions can be used inside `mutate()` as well:# `case_when()` ignores `NULL` inputs.
#> [49] "buzz" "fizz" #> [1] "1" NA NA NA "fizz" "6" "buzz" "8" "9" "fizz"
Por ejemplo: library (dplyr) case_when (mtcars $ carb = 2 ~ low, mtcars $ …
First, let’s load a few packages.
#> [21] "buzz" "22" "23" "24" "fizz" "26" "27" "buzz" "29" "fizz"
#> [41] NA "buzz" NA NA "fizz" NA NA NA "buzz" "fizz"#> [1] "1" "nope" "nope" "nope" "fizz" "6" site design / logo © 2020 Stack Exchange Inc; user contributions licensed under
In my case, quasiquotation helped a lot.
#> [28] "other" "other" "other" "other" "other" "other" "other" "large" "large" If no cases match, NA is returned. #> [16] "16" "17" "18" "19" "20" "21" "22" "23" "24" "25" "26" "27" "28" "29" "30"
Private self-hosted questions and answers for your enterpriseProgramming and related technical career opportunitiesas described below, this issue has gone away with dplyr > 0.7.0Maybe accept one of the answers, looks like this now works. - r, dataframe, dplyr, mutateR - Columna de recodificación con múltiples valores de texto asociados con un código - r, mayúsculas y minúsculas, stringr, recode¿Dplyr :: mutate () no recicla vectores? #> [13] "13" "buzz" "fizz" "16" "17" "18" #> # `case_when()` is not a tidy eval function.
logical, but all RHSs must evaluate to the same type of vector.Both LHS and RHS may have the same length of either 1 or #> [1] "1" "2" "3" "4" "fizz" "6" I conceptually understand what I'm trying to do, but I'm not sure how to make it happen. #> name height mass gender species type Here, I’ll show you how to use the mutate() function from dplyr. #> [10] "other" "other" "other" "large" "other" "other" "large" "other" "other" Teams. #> [19] "19" "fizz" "buzz" "22" "23" "24" Here we'll# take advantage of the fact that `if` returns `NULL` when there is #> [26] NA NA 7 NA 5 NA NA NA NA 35 NA NA NA NA 5 NA 7 NA NA 5 NA NA NA 7 5#> [1] -2.0000000 -1.5000000 -1.0000000 -0.5000000 0.0000000 0.7071068 1.0000000 If no cases match, NA is returned. The RHS does not need to be