Smisc (version 0.3.9.1)

allMissing: Identifies missing rows or columns in a data frame or matrix

Description

Indicates which rows or columns in a data frame or matrix are completely missing (all values are NA's).

Usage

allMissing(dframe, byRow = TRUE)

Arguments

dframe

A data frame or a matrix

byRow

= TRUE will identify rows that have all missing values. = FALSE identifies entire missing columns

Value

A logical vector that is true if all the elements in the corresponding row (or column) are NA's.

See Also

complete.cases

Examples

# NOT RUN {
# Start off with a simple data frame that has a few missing values
d1 <- data.frame(x=c(3,4,NA,1,10,NA), y=c(NA,"b","c","d","e",NA))
d1

# Identify rows were the entire row is missing
allMissing(d1)

# Only removes rows where all the values are missing
d1[!allMissing(d1),]

# All missing can also be used to identify if any of the
# columns are 'all missing'
d2 <- data.frame(x=c(rnorm(3), NA, rnorm(6)), y=rep(NA,10), z=letters[1:10])
d2

# Look for columns that are all missing
allMissing(d2, byRow=FALSE)

# Remove columns where all the values are missing
d2[,!allMissing(d2, byRow = FALSE)]

# }