rows.above.which: Does each Row have a Value at or above Cutoff(s)

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

Does each Row have a Value at or above Cutoff(s)

Description

Flag which cells are at or above some cutoff(s) or mean.

Usage

rows.above.which(x, cutoff, or.tied = FALSE, below = FALSE)

Arguments

x	Data.frame or matrix of numbers to be compared to cutoff value.
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 (>=).
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 which cells are at/above (or below) some cutoff. Returns a logical matrix, with TRUE for each cell that is 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 logical matrix the same size as x. ** Note this is different than which() – That function returns the positions of TRUE elements but this returns TRUE or FALSE for all elements.

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.which(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.which(data.frame(a=1:10, b=rep(7,10), c=7:16),
  cutoff=7, or.tied=TRUE, below=TRUE)
out
out <- cols.above.which(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 April 2, 2024, 10:10 a.m.