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kutils (version 1.73)

deleteBogusColumns: Remove columns in which the proportion of missing data exceeds a threshold.

Description

This is a column version of deleteBogusRows. Use the pm argument to set the proportion of missing required before a column is flagged for deletion

Usage

deleteBogusColumns(dframe, pm = 0.9, drop = FALSE, verbose = TRUE, n = 25)

Value

a data frame, invisibly

Arguments

dframe

A data frame or matrix

pm

"proportion missing data" to be tolerated.

drop

Default FALSE: if data frame result is reduced to one column, should R's default drop behavior "demote" this to a column vector.

verbose

Default TRUE. Should a report be printed summarizing information to be delted?

n

Default 25: limit on number of values to print in diagnostic output. If set to NULL or NA, then all of the column values will be printed for the bogus rows.

Author

Paul Johnson <pauljohn@ku.edu>

See Also

deleteBogusRows