rmNAcols: Remove Columns with Missing Data

In eatTools: eatTools

Description

Remove columns containing missing values from a data frame or a matrix

Usage

rmNAcols(dat, rows = NULL, tolerance = 0, cumulate = TRUE, 
            remove = TRUE, verbose = FALSE)

Arguments

dat	A data frame or a matrix
rows	rows to include in evaluating the missing values of columns, can be a list of vectors to specify row subsets
tolerance	Number of non-NA cells that are "tolerated", can be a list corresponding to rows
cumulate	if TRUE, tolerance is cumulated; if FALSE, exact tolerance is used
remove	if TRUE columns and rows are removed, if FALSE identified columns are returned
verbose	if TRUE the removed columns are printed on the console

Value

depends on option remove

Author(s)

Martin Hecht

See Also

calls rmNA and rmNArows

Examples

# example matrix
(mat <- matrix(c(1,1,1,1,1,1, 1,1,1,1,1,NA, 1,1,1,1,NA,NA, 1,1,1,NA,NA,NA, 
1,1,NA,NA,NA,NA, 1,NA,NA,NA,NA,NA, NA,NA,NA,NA,NA,NA), ncol=7))

# remove column with entirely NA (column 7)
rmNAcols(mat, verbose = TRUE)

# remove column with NA on rows 3, 4, 5 (columns 5, 6, 7)
rmNAcols(mat, c(3,4,5), verbose = TRUE) 
rmNAcols(mat, c(-1,-2,-6), verbose = TRUE) 

# tolerance=1 , 1 non-NA is permitted (columns 6 and 7)
rmNAcols(mat, tolerance=1, verbose = TRUE) 

# tolerance=6 , 6 non-NA are permitted (all columns are removed)
rmNAcols(mat, tolerance=6, verbose = TRUE) 

# do not cumulate / exact tolerance (column 1)
rmNAcols(mat, tolerance=6, cumulate=FALSE, verbose = TRUE) 

# two subsets of rows
rmNAcols(mat, rows = list(c(1, 2), c(4, 5)), verbose = TRUE)

# two subsets of rows with different tolerance
rmNAcols(mat, rows = list( 1, c(2, 3, 4, 5)), tolerance = list(0, 1), verbose = TRUE)

# identify cols, no deletion
rmNAcols(mat, rows = list(c(1, 2), c(3, 4, 5)), tolerance = list(0, 1), remove = FALSE)

eatTools documentation built on May 2, 2019, 4:44 p.m.