scatterCompareModels {pulsedSilac} | R Documentation |
Scatter plot of two conditions/replicates for a selected metric
of a model. For example to compare turnover rates, model errors...
facet_wrap
.
scatterCompareModels( modelList, conditions, value = "param_values", returnDataFrame = FALSE )
modelList |
A list containing all the model objects, this should be the
output of |
conditions |
A |
value |
A |
returnDataFrame |
A |
A ggplot
object or the data.frame
that would be used
instead in 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) scatterCompareModels(modelList = modelList, conditions = c('OW40', 'OW450'), value = 'param_values')