cols.above.pct: Percent of Columns with Value at or above Cutoff

In ejanalysis/analyze.stuff: Miscellaneous Tools for Analyzing Data in Rows and Columns

Percent of Columns with Value at or above Cutoff

Description

Find what percent of columns have a value at or above some cutoff.

Usage

cols.above.pct(x, cutoff, or.tied = FALSE, na.rm = TRUE, below = FALSE)

Arguments

x	Data.frame or matrix of numbers to be compared to cutoff value. Must have more than one row and one column?
cutoff	The numeric threshold or cutoff to which numbers are compared. Default is arithmetic mean of row. Usually one number, but can be a vector of same length as number of rows, in which case each row can use a different cutoff.
or.tied	Logical. Default is FALSE, which means we check if number in x is greater than the cutoff (>). If TRUE, check if greater than or equal (>=).
na.rm	Logical, default TRUE. Should NA values be removed before analysis.
below	Logical. Default is FALSE. If TRUE, uses > or >= cutoff. If FALSE, uses < or <= cutoff.

Details

For a matrix with a few cols of related data, find what percent of columns are at/above (or below) some cutoff. Returns a vector of number indicating what percentage of the columns are at/above the cutoff. Can be used in identifying places (rows) where some indicator(s) is/are at/above a cutoff, threshold value.

Value

Returns a vector the same size as the number of rows in x.

Author(s)

author

See Also

count.above() pct.above() pct.below() to see, for each column, the count or percent of rows that have values above or below a cutoff.

cols.above.count() cols.above.which() cols.above.pct() to see, for each row, the count or which or fraction of columns with numbers at/above/below cutoff.

colcounter_summary() colcounter_summary_cum() colcounter_summary_pct() colcounter_summary_cum_pct() tablefixed()

Examples

out <- cols.above.pct(x<-data.frame(a=1:10, b=rep(7,10), c=7:16), cutoff=7)
out
out # default is or.tied=FALSE
out <- cols.above.pct(data.frame(a=1:10, b=rep(7,10), c=7:16),
  cutoff=7, or.tied=TRUE, below=TRUE)
out
out <- cols.above.pct(data.frame(a=1:10, b=rep(7,10), c=7:16) )
 # Compares each number in each row to the row's mean.
out

ejanalysis/analyze.stuff documentation built on Dec. 11, 2024, 2:16 p.m.