varSelection: Variable Selection

In patauchi/sdStaf: Species Distribution and Stability Future Models

Description

Returns plot with correlation values among predicted variables.

Usage

varSelection(
  df,
  VarMethod = NULL,
  vifs = NULL,
  cutoff = NULL,
  removeVariable = NULL,
  keep_var = FALSE,
  ...
)

Arguments

df	dataframe-class.
VarMethod	Method used to variable selection. vif uses variance inflation factor based on car package. correlation uses pearson correlation to select random variable using cutoff parameter. both use a two approaches describe above.
vifs	numeric vector. vif uses numeric vector to return variables selection.
cutoff	numeric vector. Person correlation coef. used like threshold.
removeVariable	Variables choosed to remove before running varSelection.
keep_var	logical. If TRUE, all variables will be save in Variables_Selected folder. (default = FALSE).
...	no implemented. Use trace=TRUE to show vif running. default=FALSE.

Details

Variable selection using two approaches: vif and person correlation.

Value

Correlogram plot

See Also

reduce.env

patauchi/sdStaf documentation built on May 10, 2020, 9:34 a.m.