show.cols.with.na: Identifies variables in a dataframe that have missing values,...

In FAwR: Functions and Datasets for "Forest Analytics with R"

Identifies variables in a dataframe that have missing values, along with a count.

Description

This function reports the number of missing values in each variable in a dataframe. Variables that have no missing values are ignored.

Usage

show.cols.with.na(x)

Arguments

x	The dataframe to check.

Value

A vector of missing values counts, one value for each variable with missing values. If no variables have missing values then prints a message and exits.

Author(s)

Andrew Robinson <[e-mail]>

References

Robinson, A.P., and J.D. Hamann. 2010. Forest Analytics with R: an Introduction. Springer.

See Also

is.na

Examples

test <- data.frame(a = c(1,2), b = c(3,4))
show.cols.with.na(test)
is.na(test$a[2]) <- TRUE
show.cols.with.na(test)

FAwR documentation built on June 22, 2025, 5:07 p.m.