plotBLB {BiplotML} | R Documentation |
Plot the bootstrap binary logistic biplot and draw confidence ellipses on the individuals of an object BiplotML.
plotBLB( x, dim = c(1, 2), col.ind = NULL, col.var = "#00AFBB", label.ind = FALSE, draw = c("biplot", "ind", "var"), titles = NULL, ellipses = FALSE, endsegm = 0.75, repel = TRUE )
x |
Object class BiplotML. |
dim |
Dimensions plot. By default |
col.ind |
Color for the individuals. |
col.var |
Color for the variables. |
label.ind |
By default the row points are not labelled. |
draw |
The graph to draw ("ind" for the individuals, "var" for the variables and "biplot" for the row and columns coordinates in the same graph) |
titles |
Title for the Biplot |
ellipses |
If |
endsegm |
Represents where the segment of a variable ends on the logit probability scale. By default |
repel |
Repel overlapping text labels. |
If draw = "ind", then the biplot is plotted only for individuals and if draw = "var" then is plotted only for the variables.
Returns the Biplot of the individuals and variables.
Giovany Babativa <gbabativam@gmail.com>
Meulman, J. J., & Heiser, W. J. (1983). The display of bootstrap solutions in multidimensional scaling. Murray Hill, NJ: Bell Laboratories. (Technical memorandum)
Vicente-Villardon, J.L. and Galindo, M. Purificacion (2006), Multiple Correspondence Analysis and related Methods. Chapter: Logistic Biplots. Chapman-Hall
data("Methylation") set.seed(123456) outBLB <- bootBLB(x = Methylation, sup = TRUE, plot=FALSE) plotBLB(x = outBLB, titles = "Methylation Logistic Biplot", ellipses = FALSE) plotBLB(x = outBLB, titles = "Methylation LogBiplot", endsegm = 0.95) plotBLB(x = outBLB, label.ind = TRUE, titles = "Methylation LogBiplot")