plot_prediction_LOO: Plot Simulated and Predicted _vs_ Observed performances
In functClust: Functional Clustering of Redundant Components of a System

Description Usage Arguments Details Value

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.

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())

`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.

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).

Nothing. It is a procedure.

functClust documentation built on Dec. 2, 2020, 5:06 p.m.