![]() # now use variable-names in names of individual factor-levels and use a different # notation of the nesting structure varPlot(y~day+day:run, dataEP05A2_3, useVarNam= TRUE ) # re-plot now also indicating dayly means as blue horizontal lines varPlot(y~day/run, dataEP05A2_3, MeanLine= list (var= c ( "day", "int" ), col= "blue" )) # use custom VC-names varPlot(y~day/run, dataEP05A2_3, VCnam= list (text= c ( "_Day", "_Run" ))) # display intercept (total mean) varPlot(y~day/run, dataEP05A2_3, MeanLine= list (var= "int" )) # plot data as variability-chart, using automatically determined parameter # settings (see 'dynParmSet') varPlot(y~day/run, dataEP05A2_3) Model formula, a plot of standard deviations (SD) orĬoefficients of variation (CV) is provided (type=2) or both Observations are plotted in sub-classes emerging from the This is done to make function varPlotĪpplicable to any random model considered in this package.Įven if there are main factors, neither one being above orīelow another main factor, these are forced into a ![]() Formulas willīe reduced to a simple hierarchical structure orderingįactor-variables according to the order of appearance in Models can be specified via parameter 'form'. 'Xcoord' giving X-coordinates of each observationĭetails This function implements a variability-chart, known from,Į.g. (invisibly) returns 'Data' with additional variable.Note, that not all of them will have anĮffect, because some are fixed ensuring that a Further graphical parameters passed on toįunction 'par', e.g.
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