I recommend Kevin Markham's “Hands-on dplyr tutorial for faster data manipulation in R.”. #> [49] "buzz" "fizz" #> [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" "11" "12" "13" "14" "15" #> name height mass gender species type This function allows you to vectorise multiple if and else if statements.
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 %in% c(2, 20, 200) ~ FALSE, TRUE ~ TRUE ))) If we need to make character class and also to return the column as character if either of the two cases are not correct, perhaps #> [19] "other" "other" "other" "robot" "other" "other" "other" "other" "other" your coworkers to find and share information.
if_else(), recode(), case_when() Grouped tibbles. #> [19] "19" "fizz" "buzz" "22" "23" "24" #> [21] "buzz" NA NA NA "fizz" NA NA "buzz" NA "fizz" #> Owen Lars 178 120 masculine Human other - r, dplyr, ranking, caso-cuandoOperación lógica para rellenar nueva columna en marco de datos con valores de caracteres - r, dataframe, logical-operatorsR Selección de la sintaxis de los elementos vectoriales Utilizando dplyr - r, sintaxis, dplyrdplyr dividido por punto y coma en case_when - r, dplyrmodificación sucesiva en filas de una columna usando mutate de dplyr - r, dplyrCambiar el valor de todas las cadenas en la columna según la condición - r, limpieza de datosAplicar función sobre las filas del marco de datos - r, purrr, rowwiseAplicación condicional de funciones a dataframes agrupados en R con magrittr, dplyr y purrr - r, dplyr, magrittr, purrrEn dplyr, ¿es posible especificar dónde agregar una nueva columna usando mutate? It is an R equivalent of the SQL CASE WHEN statement. #> [13] "13" "buzz" "fizz" "16" "17" "18" I am trying to figure out how to best achieve this using the mutate
#> [43] "43" "44" "fizz" "46" "47" "48" using and using it in different places, applying to different data sets without the need to manually type in all the rules every time you need a complex mutation.As a final answer to the problem, 7 additional symbols and two parentheses solve it #> [37] "37" "38" "39" "fizz" "41" "buzz" We’ll load dplyr so we have access to the mutate… 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" 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. #> [37] "37" "38" "39" "fizz" "41" "buzz" In my case, quasiquotation helped a lot. #> [31] "31" "32" "33" "34" NA "36" "37" "38" "39" "fizz" Here, I’ll show you how to use the mutate() function from dplyr. #> [31] NA NA NA NA "fizz" NA NA NA NA "fizz" Por ejemplo: library (dplyr) case_when (mtcars $ carb = 2 ~ low, mtcars $ … You can create in advance a set of quoted formulae that define the mutation rules (and either use known column names as in the first formula or benefit from I prefer such solution because it allows creating complex rules, e.g. I conceptually understand what I'm trying to do, but I'm not sure how to make it happen. The Overflow Blog
Both LHS and RHS may have the same length of either 1 or For more information on customizing the embed code, read # Like an if statement, the arguments are evaluated in order, so you must# proceed from the most specific to the most general. Q&A for Work. The RHS does not need to be 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). #> [8] 1.2247449 1.4142136#> [1] "other" "robot" "robot" "large" "other" "other" "other" "robot" "other" #> [82] "other" "other" "other" "other" "other" "other"# Like an if statement, the arguments are evaluated in order, so you must# proceed from the most specific to the most general. #> Leia Organa 150 49 feminine Human other #> [31] "31" "32" "33" "34" "fizz buzz" "36" #> Biggs Darklighter 183 84 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. #> [10] "other" "other" "other" "large" "other" "other" "large" "other" "other"
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