Usage
plotGrowthModelComp(grObj,summaryTable, dataf, expVars,
testType = "AIC",
plotLegend = TRUE, mainTitle = "", legendPos = "topright",...)plotSurvModelComp(svObj, summaryTable, dataf, expVars, testType = "AIC", plotLegend = TRUE, mainTitle = "",ncuts=20,
legendPos = "bottomleft",...)
Arguments
grObj
a list with the objects of the class growth object equal to treatN.
svObj
a list with the objects of the class survival object equal to treatN.
summaryTable
dataframe output from growthModelComp and survModelComp that contains linear predictor and testType scores (see growthModelComp and survModelComp).
dataf
dataframe containing size and sizeNext
expVars
vector, list of covariates. Defaults to c("1", "size", "size + size2").
testType
character string identifying the metric used to compare models. Can be any string that uses loglike from the lm or glm object. For example "AIC" or "BIC". Defaults to "AIC".
plotLegend
logical indicated whether a legend is created. If TRUE, positions the legend in "topleft" for growth models and "bottomleft" for survival models.
mainTitle
string to place as the main attribute in plots (if makePlot = TRUE. defaults to NULL.
ncuts
number of consecutive size values for which to take means of size and survival for plotting.
legendPos
position of the legend on the figure ("topright", "bottomleft", ...)
...
additional arguments to plot (ylim, col, etc)