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