R/model_get_assign.R
model_get_assign.RdReturn the assign attribute attached to the object returned by
stats::model.matrix().
model_get_assign(model)
# S3 method for default
model_get_assign(model)
# S3 method for vglm
model_get_assign(model)
# S3 method for model_fit
model_get_assign(model)a model object
Other model_helpers:
model_compute_terms_contributions(),
model_get_coefficients_type(),
model_get_contrasts(),
model_get_model(),
model_get_model_frame(),
model_get_model_matrix(),
model_get_n(),
model_get_nlevels(),
model_get_offset(),
model_get_pairwise_contrasts(),
model_get_response(),
model_get_response_variable(),
model_get_terms(),
model_get_weights(),
model_get_xlevels(),
model_identify_variables(),
model_list_contrasts(),
model_list_higher_order_variables(),
model_list_terms_levels(),
model_list_variables()
lm(hp ~ mpg + factor(cyl), mtcars) %>%
model_get_assign()
#> [1] 0 1 2 2
#> attr(,"model_matrix")
#> (Intercept) mpg factor(cyl)6 factor(cyl)8
#> Mazda RX4 1 21.0 1 0
#> Mazda RX4 Wag 1 21.0 1 0
#> Datsun 710 1 22.8 0 0
#> Hornet 4 Drive 1 21.4 1 0
#> Hornet Sportabout 1 18.7 0 1
#> Valiant 1 18.1 1 0
#> Duster 360 1 14.3 0 1
#> Merc 240D 1 24.4 0 0
#> Merc 230 1 22.8 0 0
#> Merc 280 1 19.2 1 0
#> Merc 280C 1 17.8 1 0
#> Merc 450SE 1 16.4 0 1
#> Merc 450SL 1 17.3 0 1
#> Merc 450SLC 1 15.2 0 1
#> Cadillac Fleetwood 1 10.4 0 1
#> Lincoln Continental 1 10.4 0 1
#> Chrysler Imperial 1 14.7 0 1
#> Fiat 128 1 32.4 0 0
#> Honda Civic 1 30.4 0 0
#> Toyota Corolla 1 33.9 0 0
#> Toyota Corona 1 21.5 0 0
#> Dodge Challenger 1 15.5 0 1
#> AMC Javelin 1 15.2 0 1
#> Camaro Z28 1 13.3 0 1
#> Pontiac Firebird 1 19.2 0 1
#> Fiat X1-9 1 27.3 0 0
#> Porsche 914-2 1 26.0 0 0
#> Lotus Europa 1 30.4 0 0
#> Ford Pantera L 1 15.8 0 1
#> Ferrari Dino 1 19.7 1 0
#> Maserati Bora 1 15.0 0 1
#> Volvo 142E 1 21.4 0 0
#> attr(,"model_matrix")attr(,"assign")
#> [1] 0 1 2 2
#> attr(,"model_matrix")attr(,"contrasts")
#> attr(,"model_matrix")attr(,"contrasts")$`factor(cyl)`
#> [1] "contr.treatment"
#>