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Refactor Ghost Level Meta Data

refactor_data.Rd

Refactor the meta data fields in a data frame, removing the "ghost" levels that remain after subsetting a factored column in a data frame.

Usage

refactor_data(data)

Arguments

data

A data.frame object containing feature and clinical data.

Value

A data.frame object, identical as the original except the factor levels in factor class columns have been refactored to remove "ghost levels".

See also

factor(), droplevels()

Author

Stu Field

Examples

simdata$Sex <- factor(simdata$gender)
simdata$Sex
#>   [1] M F F M M F M M F F M M M F F M M M M F M M M F F F F M M F M F F F
#>  [35] M F F F M M F F M F F M M F F F M M M M M M F M M F F F F F M F F M
#>  [69] M F M M M F M M F F F M F F F F F M F M M F M F M M F M F F M F
#> Levels: F M

new <- simdata[simdata$Sex == "M", ]
new$Sex           # ghost levels!
#>  [1] M M M M M M M M M M M M M M M M M M M M M M M M M M M M M M M M M M M
#> [36] M M M M M M M M M M M M M M
#> Levels: F M
levels(new$Sex)   # ghost levels!
#> [1] "F" "M"

new2 <- refactor_data(new)
new2$Sex
#>  [1] M M M M M M M M M M M M M M M M M M M M M M M M M M M M M M M M M M M
#> [36] M M M M M M M M M M M M M M
#> Levels: M
levels(new2$Sex)
#> [1] "M"