colMedians
Column Summaries - median, quantile, and product

### Description

Computes median, quantile, and product for each column. These are generic functions; methods currently exist for data.frame, series objects.

### Usage

    colMedians(x, na.rm = FALSE)
    colQuantiles(x, probs = seq(0, 1, 0.25), na.rm = FALSE)
    colProds(x, na.rm = FALSE)

### Arguments

x | a matrix, data frame, timeSeries, or signalSeries object.
na.rm | if FALSE, missing values (NAs) in the input result in missing values in corresponding elements of the output. If TRUE then missing values are omitted from calculations.
probs | vector of desired probability levels. Values must be between 0 and 1 inclusive. The default produces a "five number summary": the minimum, lower quartile, median, upper quartile, and maximum of x.

### Details

colMedians is equivalent to apply(x, 2, FUN = median); colQuantiles is equivalent to apply(x, 2, FUN = quantile); colProds is equivalent to apply(x, 2, FUN = prod).
Value
a vector of column medians for colMedians; a list of vectors of quantiles for each column for colQuantiles; a vector of column products for colProds.
Differences between Spotfire Enterprise Runtime for R and Open-source R
colMedians, colQuantiles, and colProds are not in open-source R.
See Also
apply, median, quantile, prod, colMins, colMeans.
Examples

    colMedians(Sdatasets:air[, c("Wind", "temperature")])
    colQuantiles(Sdatasets::air[, c("ozone", "radiation", "wind")], na.rm=TRUE)

Package terrUtils version 6.1.5-18
Package Index