plotDetectOutlierPlantMaize.Rd
function producing a graphic of detected outlier plants from funcDetectOutlierPlantMaize() function
plotDetectOutlierPlantMaize(datain, outmodels, x, y, genotype, idColor, idFill)
datain | input dataframe, a spatio-temporal data.frame |
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outmodels | the output object from funcDetectOutlierPlantMaize() function containing the detected outliers (either small or big) 'theobject$smallOutliers' or 'theobject$bigOutliers' |
x | character, name of the time variable in datain |
y | character, name of the variable in datain to draw |
genotype | character, name of the genotype variable in datain |
idColor | character, name of the treatment variable in datain to differentiate the curves |
idFill | character, name of the repetition variable in the datain to differentiate the outlier curves |
a graphic
see funcDetectOutlierPlantMaize function
# \donttest{ #plotDetectOutlierPlantMaize(datain=PAdata, # outmodels=test$smallOutlier, # x="Time", # y="Biomass_Estimated", # genotype="Genotype", # idColor="Treatment", # idFill="plantId") # }