Skip to contents

Count valid observations per plotId for a given trait

Source: R/utils.R
countValidPlot.Rd

Count valid observations per plotId for a given trait.

Usage

countValidPlot(TP, trait, plotIds = NULL)

Arguments

TP

An object of class TP.

trait

A character string indicating the trait for which valid observations should be counted.

plotIds

A character vector indicating the plotIds for which valid observations should be checked. If NULL valid observations are counted for all plotIds in TP.

Value

A named numerical vector with he number of valid observations per plotId.

Examples

## Create a TP object containing the data from the Phenovator.
phenoTP <- createTimePoints(dat = PhenovatorDat1,
                            experimentName = "Phenovator",
                            genotype = "Genotype",
                            timePoint = "timepoints",
                            repId = "Replicate",
                            plotId = "pos",
                            rowNum = "y", colNum = "x",
                            addCheck = TRUE,
                            checkGenotypes = c("check1", "check2",
                                               "check3", "check4"))
#> Warning: The following plotIds have observations for less than 50% of the time points:
#> c24r41, c7r18, c7r49
## Count valid observations for EffpsII for a subset of plots.
countValidPlot(phenoTP,
               trait = "EffpsII",
               plotIds = c("c12r22", "c24r41", "c14r32"))
#> c12r22 c24r41 c14r32 
#>     53     16     73