rmNArows: remove NA rows from data

In eatTools: eatTools

Description

remove rows that are completely or partially NA from data.frame or matrix

Usage

rmNArows(dat, cols = NULL, tolerance = 0, cumulate = TRUE, 
        remove = TRUE, verbose = FALSE)

Arguments

dat	data.frame or matrix
cols	columns to include, can be a list of vectors to specify column subsets
tolerance	number of non-NA cells that are "tolerated", can be a list corresponding to cols
cumulate	if TRUE, tolerance is cumulated; if FALSE, exact tolerance is used
remove	if TRUE, columns and rows are removed; if FALSE, identified rows are returned
verbose	if TRUE removed columns and rows are printed on output window

Value

depends on option remove

Author(s)

Martin Hecht

See Also

calls rmNA and rmNAcols

Examples

# example matrix
(mat <- matrix(c( 1,1,1,1,1, 1,1,1,1,NA, 1,1,1,NA,NA, 1,1,NA,NA,NA, 
  1,NA,NA,NA,NA, NA,NA,NA,NA,NA), ncol=5, byrow=TRUE))

# remove row with entirely NA (row 6)
rmNArows(mat, verbose = TRUE)

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

# tolerance=1 , 1 non-NA is permitted (rows 5 and 6)
rmNArows(mat, tolerance=1, verbose = TRUE) 

# tolerance=5 , 5 non-NA are permitted (all rows are removed)
rmNArows(mat, tolerance=5, verbose = TRUE) 

# do not cumulate / exact tolerance (row 1 is removed)
rmNArows(mat, tolerance=5, cumulate=FALSE, verbose = TRUE) 
rmNArows(mat, tolerance=5, cumulate=FALSE, remove = FALSE) 

# two subsets of columns
rmNArows(mat, cols = list(c(1, 2), c(4, 5)), verbose = TRUE)

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

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

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