NA2x: Replace numeric missing values with mean of the column

In liamg15/ezTools: What the Package Does (One Line, Title Case)

Description

Replace numeric missing values with mean of the column

Usage

NA2x(data, verbose = FALSE, fun = mean, trim = 0)

Arguments

data	a dataframe containing numeric variables (e.g double or integer).No default data selected, must be an argument.
verbose	the verbose argument indicates the output was successful, by default verbose = FALSE as this function was designed for small data sets. For larger data sets, verbose = TRUE may be useful to know the function is being applied to large data frames as the function will take longer. If TRUE, returns Processing successful.
fun	specifies the function to be applied to missing values. By default, fun refers to mean(.x). An alternative function can be specified (fun = f(x)).
trim	a fraction of outlying observations to be ignored when calculating for the replacement of NA. By default the trim is set to 0.

Value

NA2x replaces each numeric missing value with the default being the mean of that column.

Examples

# Create a data frame with both numeric and character variables.
df <-data.frame(
 first = c("a", NA, "b", "c","d"),
 second = c(NA, 2, NA, 3, 4),
 third = c(10, NA, NA, 5, 6)
)


# Input data frame with missing values.
NA2x(df)

liamg15/ezTools documentation built on Jan. 1, 2021, 8:19 a.m.