# As per "When you do need side-effects" section in
# http://r-pkgs.had.co.nz/r.html
.onAttach <- function(libname, pkgname) {
packageStartupMessage(
cat(
cat("\n"),
cat(crayon::white$bgBlue$bold('VV') %+% " " %+% crayon::white$bgBlue$bold('VV') # row1
%+% " " %+% crayon::white$bgBlue$bold('II')
%+% " " %+% crayon::white$bgBlue$bold('SSSS')
%+% " " %+% crayon::white$bgBlue$bold('2222')
%+% " " %+% crayon::white$bgBlue$bold('RRRR')
%+% " " %+% crayon::white$bgBlue$bold('FFF')
%+% " " %+% crayon::white$bgBlue$bold('II\n')),
cat(" " %+% crayon::white$bgBlue$bold('VV') %+% " " %+% crayon::white$bgBlue$bold('VV') # row2
%+% " " %+% crayon::white$bgBlue$bold('II')
%+% " " %+% crayon::white$bgBlue$bold('SSS')
%+% " " %+% crayon::white$bgBlue$bold('22')
%+% " " %+% crayon::white$bgBlue$bold('R') %+% " " %+% crayon::white$bgBlue$bold('R')
%+% " " %+% crayon::white$bgBlue$bold('F')
%+% " " %+% crayon::white$bgBlue$bold('II\n')),
cat(" " %+% crayon::white$bgBlue$bold('VV') %+% " " %+% crayon::white$bgBlue$bold('VV') # row3
%+% " " %+% crayon::white$bgBlue$bold('II')
%+% " " %+% crayon::white$bgBlue$bold('SSS')
%+% " " %+% crayon::white$bgBlue$bold('22')
%+% " " %+% crayon::white$bgBlue$bold('RRR')
%+% " " %+% crayon::white$bgBlue$bold('FFF')
%+% " " %+% crayon::white$bgBlue$bold('II\n')),
cat(" " %+% crayon::white$bgBlue$bold('VVV') # row4
%+% " " %+% crayon::white$bgBlue$bold('II')
%+% " " %+% crayon::white$bgBlue$bold('SSSS')
%+% " " %+% crayon::white$bgBlue$bold('2222')
%+% " " %+% crayon::white$bgBlue$bold('R') %+% " " %+% crayon::white$bgBlue$bold('R')
%+% " " %+% crayon::white$bgBlue$bold('F')
%+% " " %+% crayon::white$bgBlue$bold('II\n')),
cat("\n"),
cat(font_style2("vis2rfi : Visualising 2Way Random Forest Interactions\n")),
cat(font_style("A main theme of this package is to repeatedly explore the interaction effect of two variables (i.e. 2 way) after running the")), cat(font_styleRF(" Random Forests ")), cat(font_style("algorithm in supervised mode (currently binary classification is only tested). Experiment with the different subsampling approaches depending on the size of your data. As a reminder, make sure you have run function")), cat(font_style3(" forestFloor ")), cat(font_style("from the")), cat(font_style3(" forestFloor ")), cat(font_style("package on your data, as")), cat(font_style2(" vis2rfi ")), cat(font_style("is currently using the feature contributions to the prediction from this package."))))
}
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