Description Usage Arguments Details Value Examples
mc_adjust
handles issues with multi-collinearity.
1 |
data |
named numeric data object (either data frame or matrix) |
min_var |
numeric value between 0-1 for the minimum acceptable variance (default = 0.1) |
max_cor |
numeric value between 0-1 for the maximum acceptable correlation (default = 0.9) |
action |
select action for handling columns causing multi-collinearity issues
|
mc_adjust
handles issues with multi-collinearity by first removing
any columns whose variance is close to or less than min_var
. Then, it
removes linearly dependent columns. Finally, it removes any columns that have
a high absolute correlation value equal to or greater than max_cor
.
mc_adjust
returns the numeric data object supplied minus variables
violating the minimum acceptable variance (min_var
) and the
maximum acceptable correlation (max_cor
) levels.
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