rows.above.count: Number or percent of rows (for each col) where value exceeds...

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

Number or percent of rows (for each col) where value exceeds cutoff(s)

Description

Alias for count.above()

Usage

rows.above.count(
  df,
  benchmarks = "mean",
  benchnames = "cutoff",
  or.tied = FALSE,
  below = FALSE,
  wts = 1,
  na.rm = TRUE
)

Arguments

df	Data.frame or matrix, required.
benchmarks	Default is 'mean' but otherwise this must be a number or numeric vector of thresholds to compare values to.
benchnames	Default is 'cutoff' and this string is used to create colnames for the results, such as above.cutoff.for.field1
or.tied	Logical, FALSE by default, reporting on those > cutoff. But, if or.tied=TRUE, this reports on those >= cutoff.
below	Logical, FALSE by default, which counts how many are above cutoff (or tied if or.tied). If TRUE, counts how many are below (or tied with) cutoff.
wts	Number or vector, default is 1. Length must be a factor of number of rows in df, so length(df[,1]) is an integer multiple of length(wts) Applies weights to when counting how many.
na.rm	Logical value, optional, TRUE by default. Defines whether NA values should be removed first. Otherwise result will be NA when any NA is in a col.

Value

Returns a vector of numbers of length equal to number of columns in df.

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()

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