#DPLYR RENAME HOW TO#
#DPLYR RENAME CODE#

missing = 'missing' ) #> 'a' 'b' 'c' 'other' 'missing' # For factor values, use only named replacements # and supply default with levels() factor_vec Apple b c #> Levels: Apple b c # Use recode_factor() to create factors with levels ordered as they # appear in the recode call. default = 'other' ) #> 'a' 'b' 'c' 'other' NA # use. default to change the replacement value recode ( num_vec, 'a', 'b', 'c'. #> Please specify replacements exhaustively or supply `.default`.

recode ( num_vec, `2` = 'b', `4` = 'd' ) #> Warning: Unreplaced values treated as NA as `.x` is not compatible. x, # unmatched values are replaced by NA and a warning is issued. default = 'nothing' ) #> 'a' 'nothing' 'c' # Note that if the replacements are not compatible with. value at position) # so if nothing at position (here 5), it uses. x (position given) looks in (.), then grabs (. # (Only works for numeric vector) recode ( num_vec, 'a', 'b', 'c', 'd' ) #> 'a' 'b' 'c' 'd' NA #. # Use a named character vector for unquote splicing with !!! level_key 'carrot' 'apple' 'carrot' 'banana' 'carrot' 'carrot' 'carrot' #> 'apple' 'apple' 'banana' # For numeric values, named arguments can also be used num_vec 1 20 3 40 NA # Or if you don't name the arguments, recode() matches by position. default = NA) : #> `.default` must be a character vector, not a logical vector. default = NA ) ) #> Error in recode(char_vec, a = 'Apple', b = 'Banana'. try ( recode ( char_vec, a = 'Apple', b = 'Banana'. default = NA_character_ ) #> NA 'Apple' NA 'Banana' NA NA NA #> 'Apple' 'Apple' 'Banana' # Throws an error as NA is logical, not character. For more information, see # recode ( char_vec, a = 'Apple', b = 'Banana'. Note that NA and # replacement values need to be of the same type. default as replacement for unmatched values. # For character values, recode values with named arguments only. Must be either length 1 or the same length as default must be either length 1 or the same length as If not supplied and if the replacementsДЄre not compatible, unmatched values are replaced with NA. If not supplied and if the replacements are If supplied, all values not otherwise matched willД«e given this value. When named, the argument names should be the current values to be replaced, and theДЄrgument values should be the new (replacement) values.ДЄll replacements must be the same type, and must have either x represents positions to look for in replacements. If not named, the replacement is done based on position i.e. x, these should be namedДЄnd replacement is based only on their name. Please share the tutorial on your social media accounts if you did.Replacements. Second, we had a look at the recode_factor() function from the dplyr package to do the same.

#DPLYR RENAME HOW TO#

First, we had a look at how to use the levels() function to recode the levels of factors. In this tutorial, you have learned how to rename factor levels in R. For instance, another package that is part of the Tidyverse package has a function that can be used: forcats. Note that there are other ways to recode levels of a factor in R. This can be, of course, also be done with other packages that are part of the TIdyverse. It can also be used to add a column to an R data frame based other columns, or to simply add a column to a data frame in R. Each following argument is then the other factors we want to be renamed.ДЄs previously mentioned, dplyr is a very useful package. This argument is then followed by the level of a factor (e.g., the first) and then the new name. The recode_factor() function works in a way that the first argument is the character vector. On the second line, we assign the renamed factors to the column containing our categorical variable.

#DPLYR RENAME CODE#

In the code example above, we first loaded dplyr so that we get the recode_factor() function into our name space. Incongruent = 'InCon') Code language: R ( r ) Data$TrialType <- recode_factor(data$TrialType, congruent = 'Con',

Dplyr rename