functClust (version 0.1.6)

plot_prediction_LOO: Plot Simulated and Predicted vs Observed performances

Description

Take three vectors corresponding to assemblage performances modelled, predicted by cross-validation and observed, then plot modelled assemblage performances versus observed assemblage performances. The error induced by the cross-validation is drawn as a line linking modelled and predicted assemblage performances.

Usage

plot_prediction_LOO(Fx, Fy, Fz,
                    assMotif = rep(1, length(Fx)),
                    xylab     = c("Observed performance",
                                  "Modelled performance"),
                    xylim     = range(Fx),
                    figs = rep(fsymbols()[1], length(Fx)),
                    cols = rep(fcolours()[1], length(Fx)),
                    nbcl      = 1,
                    main      = "",
                    opt.mean  = "amean",
                    pvalue    = fpvalue())

Arguments

Fx, Fy, Fz

three numeric vectors of length(Fx). The first vector contains reference, observed assemblage performances. The second vector contains assemblage performances modelled by component clustering. The third vector contains assemblage performances predicted by cross-validation.

assMotif

an integer vector. The vector contains the labels of each assemblages. The labels are only used to plot the assemblage performances that share a same assembly motif with a same symbol and color. If it is omitted, all points are plotted using a same symbol and color. The default symbol and color is "red circle".

xylab

a vector of two strings. The strings are the labels of the axis.

xylim

a vector of two numerics. The numerics are extrem values of the two axis.

figs, cols

two integer vectors of length(Fx). They contain the symbols and colours specific to each assembly motif recorded in assMotif.

nbcl

an integer. The integer indicates the number of clusters of components. The theoretical number m of assembly motif is m = 2^nbcl - 1. The number of clusters of components is only used as information written on the graph.

main

a string. The string is used as graph title.

opt.mean

a character equals to "amean" or "gmean". Switch to arithmetic formula if opt.mean = "amean". Switch to geometric formula if opt.mean = "gmean".

pvalue

a probability, used as threshold in the variance analysis. Then pvalue must be higher than 0 and lower than 1. Groups significantly different (at a p-value < pvalue) are then indicated by differents letters on the right of boxplots.

Value

Nothing. It is a procedure.

Details

All options are default values. If all options are omitted, the function plot Fy vs Fx, in red circle with "Simuled performances" vs "Observed performances" as axis labels.

The two dashed blue lines are mean(Fy) and mean(Fx).