plotDistributionModel {pulsedSilac} | R Documentation |
Plot the distribution of the different model parameters and metrics for each condition.
plotDistributionModel( modelList, value = "param_values", plotType = "density", returnDataFrame = FALSE )
modelList |
A list containing all the model objects, this should be the
output of |
value |
A |
plotType |
A |
returnDataFrame |
A |
A ggplot
density or boxplot object, or the data.frame
used to make the plot.
data('wormsPE') wormsPE <- calculateIsotopeFraction(wormsPE, ratioAssay = 'ratio') modelList <- modelTurnover(x = wormsPE[1:10], assayName = 'fraction', formula = 'fraction ~ 1 - exp(-k*t)', start = list(k = 0.02), mode = 'protein', robust = FALSE, returnModel = TRUE) plotDistributionModel(modelList = modelList, value = 'param_values', plotType = 'density')