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Introduce missing values into a vector or data frame

Source: R/FUNCTIONS_GENERATE_DATA.R
generate_missing.Rd

Randomly replaces a fixed number of values with NA, either in a vector or across every column of a data frame independently.

Usage

generate_missing(df, missing = 5)

Arguments

df

A numeric vector or data frame. The object into which missing values are introduced.

missing

Integer. Number of values to replace with NA per vector or per column. Must not exceed the length of the vector or nrow(df). Default is 5.

Value

The input object with missing values replaced by NA. Returns the same type as the input (vector or data frame).

Examples

generate_missing(rnorm(10), missing = 5)
#>  [1] -0.5569      NA  1.0980      NA      NA      NA -0.2768  0.7523  1.0451      NA
generate_missing(generate_data(nrow = 10, ncol = 2), missing = 5)
#>         X1      X2
#> 1       NA      NA
#> 2  -0.4388      NA
#> 3       NA  0.9218
#> 4       NA      NA
#> 5       NA  0.3606
#> 6  -1.5297 -1.3665
#> 7  -0.2401      NA
#> 8   1.1533 -0.6981
#> 9       NA -0.8304
#> 10 -1.3230      NA