summary.TD: Summarizing objects of class 'TD'

In statgenSTA: Single Trial Analysis (STA) of Field Trials

Summarizing objects of class TD

Description

summary method for class TD.

Usage

## S3 method for class 'TD'
summary(
  object,
  ...,
  trial = names(object),
  traits,
  groupBy = NULL,
  what = if (!is.null(groupBy)) {
     c("nObs", "mean", "sd")
 } else {
     c("nObs",
    "nMiss", "mean", "median", "min", "max", "firstQ", "thirdQ", "var")
 }
)

Arguments

object	An object of class TD.
...	Further arguments - currently not used.
trial	A character string specifying the trial to be summarized.
traits	A character vector specifying the traits to be summarized.
groupBy	A character string specifying a column in TD by which the summary should be grouped. If NULL, no grouping is done.
what	A character vector indicating which summary statistics should be computed. If what = "all", all available statistics are computed. Possible options are: nVals The number of values, i.e. non-missing + missing values. nObs The number of non-missing observations. nMiss The number of missing values. mean The mean. median The median. min The minimum. max The maximum. range The range (maximum - minimum). firstQ The first (25pct) quantile. thirdQ The third (75pct) quantile. sd The standard deviation. seMean The standard error of mean. var The variance. seVar The standard error of variance. CV The coefficient of variation. sum The sum. sumSq The sum of squares. uncorSumSq The uncorrected sum of squares. skew The skewness. seSkew The standard error of the skewness. kurt The kurtosis. seKurt The standard error of the kurtosis. all All summary statistics.

Value

A table containing the selected summary statistics.

See Also

Other functions for TD objects: TD, getMeta(), plot.TD()

Examples

## Summarize TDHeat05.
summary(TDHeat05,
        traits = "yield")

## Summarize TDHeat05 grouping by repId.
summary(TDHeat05,
        traits = "yield",
        groupBy = "repId")

statgenSTA documentation built on Nov. 3, 2023, 5:08 p.m.