Check if main effects for all interaction effects are included in the model

var_check(ev, cn, intv = c())

Arguments

ev	List of explanatory variables provided to `regress` or `logistic`
cn	Column names for all explanatory variables in the dataset
intv	Interaction terms specified

Value

vars is a vector of right-hand side variables, possibly with interactions, iv is the list of explanatory variables, and intv are interaction terms

Details

If ':' is used to select a range evar is updated. See https://radiant-rstats.github.io/docs/model/regress.html for an example in Radiant

Examples

var_check("a:d", c("a","b","c","d"))
#> $vars
#> [1] "a" "b" "c" "d"
#> 
#> $ev
#> [1] "a" "b" "c" "d"
#> 
#> $intv
#> NULL
#> 
var_check(c("a", "b"), c("a", "b"), "a:c")
#> Interaction terms contain variables not selected as main effects.
#> Removing interactions from the estimation
#> $vars
#> [1] "a" "b"
#> 
#> $ev
#> [1] "a" "b"
#> 
#> $intv
#> character(0)
#> 
var_check(c("a", "b"), c("a", "b"), "a:c")
#> Interaction terms contain variables not selected as main effects.
#> Removing interactions from the estimation
#> $vars
#> [1] "a" "b"
#> 
#> $ev
#> [1] "a" "b"
#> 
#> $intv
#> character(0)
#> 
var_check(c("a", "b"), c("a", "b"), c("a:c", "I(b^2)"))
#> Interaction terms contain variables not selected as main effects.
#> Removing interactions from the estimation
#> $vars
#> [1] "a" "b"
#> 
#> $ev
#> [1] "a" "b"
#> 
#> $intv
#> [1] "I(b^2)"
#>