analyse_integrated_individuals {OMICsPCA} | R Documentation |
This function works similarly as "analyse_individuals()". The only extra argument needs to be supplied here is "start_end", (if choice = 1.) returned by "integrate_pca()"
analyse_integrated_individuals( name, choice = 1, geom = "point", PC = c(1,2), groupinfo = NULL, ...)
name |
Name of the "PCA" object containing the integrated PCA. |
choice |
1 = 2D scatterplot on selected PCs through PC argument. 2 = 3D scatterplot on selected PCs through PC argument for details of the choices see the vignette |
geom |
Used when choice = 1. Avalilabe options are : "point", "text", c("point","text"). default = "point" |
PC |
A vector of numbers corresponding to principal components |
groupinfo |
same as integrate_variables() |
... |
additional arguments allowed to base function "plot3d" of package "rgl" |
Displays various plots and tables as per the combination of input arguments
Subhadeep Das <subhadeep1024@gmail.com>
exclude <- list(0,c(1,9)) int_PCA <- integrate_pca(Assays = c("H2az", "H3k9ac"), name = multi_assay, mergetype = 2, exclude = exclude, groupinfo = groupinfo_ext, graph = FALSE) name = int_PCA$int_PCA analyse_integrated_individuals( name = name, choice = 2, PC = c(1,2,3), col = c("RED", "BLACK","GREEN"), groupinfo = groupinfo_ext)