Function for creating a short summary of the contents of a TP object. The summary consists of the name of the experiment, the number of time points, the engine used to fit the models and, in case spatial models where fitted using asreml, the selected spatial model.
Usage
# S3 method for class 'fitMod'
summary(object, ...)See also
Other functions for spatial modeling:
fitModels(),
getCorrected(),
getEffDims(),
getGenoPred(),
getHerit(),
getVar(),
plot.fitMod()
Examples
# \donttest{
## Using the first example dataset (PhenovatorDat1):
## Create an object of class TP.
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
## Fit a SpATS model on few time points:
modPhenoSp <- fitModels(TP = phenoTP,
trait = "EffpsII",
timePoints = c(1, 6, 36))
#> 2018-05-31 16:37:00
#> 2018-06-02 09:07:00
#> 2018-06-09 14:37:00
## Create a summary.
summary(modPhenoSp)
#> Models in modPhenoSp where fitted for experiment Phenovator.
#>
#> It contains 3 time points.
#> The models were fitted using SpATS.
#>
# }