# Plot_DiDiSTATIS_FabCd
#
#' Plot FabCd (Discriminant Group Partial Factor Scores)
#'
#' @param res_DiDiSTATIS The output of DiDiSTATIS
#' @param axes Axes to plot
#' @param ab The stimulus to plot
#' @param d The group to plot
#' @param quiet_B.. Flag to suppress B..
#' @param Flip_axis1 Flag to flip Component 1
#' @param Flip_axis2 Flag to flip Component 2
#' @param dev.new Flag to appease ReporteRs (set FALSE to print results to pptx)
#' @export
Plot_DiDiSTATIS_FabCd <- function(res_DiDiSTATIS, axes = c(1,2), ab = 1, d = 1, quiet_B.. = FALSE,
Flip_axis1 = FALSE, Flip_axis2 = FALSE, dev.new = TRUE){
Flip_mat <- makeFlip_mat(Flip_axis1, Flip_axis2)
TheTitle <- paste0("DiDiSTATIS Disc Individual Partial Factor Scores, FabCd")
#which category is that stimulus in?
b <- which(res_DiDiSTATIS$input$DESIGN_rows$mat[ab,]==1)
#which stimuli are also in that category?
Ab <- which(res_DiDiSTATIS$input$DESIGN_rows$mat[,b]==1)
#which participants are in that group?
Cd <- which(res_DiDiSTATIS$input$DESIGN_tables$mat[,d]==1)
alpha_foreground <- .7
alpha_background <- .3
alpha_B.. <- alpha_background
if(isTRUE(quiet_B..)){ alpha_B.. <- 0 }
# F.b.. ####
prettyPlot(res_DiDiSTATIS$res_BaryGrand$eig$Fb..Cond[,axes] %*% Flip_mat,
col = add.alpha(res_DiDiSTATIS$input$DESIGN_rows$colors_B, alpha_background),
cex = 3, pch=15,
display_names = F,
dev.new = dev.new,
xlab = paste0("Component ", axes[1]),
ylab = paste0("Component ", axes[2]),
constraints = minmaxHelper(mat1 = t(res_DiDiSTATIS$res_BaryGrand$Proj_disc.cd$F_disc.cd[ab,axes,Cd]) %*% Flip_mat,
mat2 = res_DiDiSTATIS$res_BaryGrand$Proj_disc..$F_disc..[,axes] %*% Flip_mat),
main = TheTitle)
prettyPlot(res_DiDiSTATIS$res_BaryGrand$eig$Fb..Cond[c(b,b),axes] %*% Flip_mat,
col = add.alpha(res_DiDiSTATIS$input$DESIGN_rows$colors_B[b], alpha_foreground),
cex = 3, pch=15,
display_names = F,
dev.new = F, new.plot = F)
# Fab.. ####
prettyPlot(res_DiDiSTATIS$res_BaryGrand$Proj_disc..$F_disc..[Ab,axes] %*% Flip_mat,
col = add.alpha(res_DiDiSTATIS$input$DESIGN_rows$colors_B[b], alpha_background),
cex = 1.5, pch=15,
display_names = F,
dev.new = F, new.plot = F)
prettyPlot(res_DiDiSTATIS$res_BaryGrand$Proj_disc..$F_disc..[ab,axes] %*% Flip_mat,
col = add.alpha(res_DiDiSTATIS$input$DESIGN_rows$colors_B[b], alpha_foreground),
cex = 1.5, pch=15,
display_names = F,
dev.new = F, new.plot = F)
Segments_from_to(From = res_DiDiSTATIS$res_BaryGrand$eig$Fb..Cond[b,axes] %*% Flip_mat,
To = res_DiDiSTATIS$res_BaryGrand$Proj_disc..$F_disc..[Ab,axes] %*% Flip_mat,
XandY = c(1,2),
col = add.alpha(res_DiDiSTATIS$input$DESIGN_rows$colors_B[b], alpha_background),
lwd = 1)
Segments_from_to(From = res_DiDiSTATIS$res_BaryGrand$eig$Fb..Cond[b,axes] %*% Flip_mat,
To = res_DiDiSTATIS$res_BaryGrand$Proj_disc..$F_disc..[ab,axes] %*% Flip_mat,
XandY = c(1,2),
col = add.alpha(res_DiDiSTATIS$input$DESIGN_rows$colors_B[b], alpha_background),
lwd = 3)
# Fab.d ####
prettyPlot(t(res_DiDiSTATIS$res_BaryGrand$Proj_disc.D$F_disc.D[ab,axes,]) %*% Flip_mat,
col = add.alpha(res_DiDiSTATIS$input$DESIGN_tables$colors_D, alpha_background),
cex = 2, pch=19,
display_names = F,
dev.new = F, new.plot = F)
Segments_from_to(From = res_DiDiSTATIS$res_BaryGrand$Proj_disc..$F_disc..[ab,axes] %*% Flip_mat,
To = t(res_DiDiSTATIS$res_BaryGrand$Proj_disc.D$F_disc.D[ab,axes,]) %*% Flip_mat,
XandY = c(1,2),
col = add.alpha(res_DiDiSTATIS$input$DESIGN_tables$colors_D, alpha_background),
lwd = 1)
prettyPlot(res_DiDiSTATIS$res_BaryGrand$Proj_disc.D$F_disc.D[ab,axes,d] %*% Flip_mat,
col = add.alpha(res_DiDiSTATIS$input$DESIGN_tables$colors_D[d], alpha_foreground),
cex = 2, pch=19,
display_names = F,
dev.new = F, new.plot = F)
Segments_from_to(From = res_DiDiSTATIS$res_BaryGrand$Proj_disc..$F_disc..[ab,axes] %*% Flip_mat,
To = t(res_DiDiSTATIS$res_BaryGrand$Proj_disc.D$F_disc.D[ab,axes,d]) %*% Flip_mat,
XandY = c(1,2),
col = add.alpha(res_DiDiSTATIS$input$DESIGN_tables$colors_D, alpha_background),
lwd = 3)
#FabCd
prettyPlot(t(res_DiDiSTATIS$res_BaryGrand$Proj_disc.cd$F_disc.cd[ab,axes,Cd])%*% Flip_mat,
col = add.alpha(res_DiDiSTATIS$input$DESIGN_tables$colors_D[d], alpha_foreground),
cex = 1, pch=19,
display_names = F,
dev.new = F, new.plot = F)
Segments_from_to(From = res_DiDiSTATIS$res_BaryGrand$Proj_disc.D$F_disc.D[ab,axes,d] %*% Flip_mat,
To = t(res_DiDiSTATIS$res_BaryGrand$Proj_disc.cd$F_disc.cd[ab,axes,Cd])%*% Flip_mat,
col = add.alpha(res_DiDiSTATIS$input$DESIGN_tables$colors_D[d], alpha_background),
lwd = 1)
Bary_cols <- res_DiDiSTATIS$input$DESIGN_rows$colors_B
Bary_cols[b] <- add.alpha(res_DiDiSTATIS$input$DESIGN_rows$colors_B[b], alpha_foreground + alpha_background)
Bary_cols[-b] <- add.alpha(res_DiDiSTATIS$input$DESIGN_rows$colors_B[-b], alpha_background)
Group_cols <- res_DiDiSTATIS$input$DESIGN_tables$colors_D
Group_cols[d] <- add.alpha(res_DiDiSTATIS$input$DESIGN_tables$colors_D[d], alpha_foreground + alpha_background)
Group_cols[-d] <- add.alpha(res_DiDiSTATIS$input$DESIGN_tables$colors_D[-d], alpha_background)
legend(x = "right",
legend = c(res_DiDiSTATIS$input$DESIGN_rows$labels, " ", res_DiDiSTATIS$input$DESIGN_tables$labels),
col = c(Bary_cols, 'white', Group_cols),
pch = c(rep(15, res_DiDiSTATIS$input$DESIGN_rows$B), 15, rep(19, res_DiDiSTATIS$input$DESIGN_tables$D)),
pt.cex = 2)
}
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