R-squared between a response and a predictor

R-squared between a response and a predictor. Fastest option to compute preference order.

Usage

f_rsquared(x, y, df)

Arguments

x

(required, character string) name of the predictor variable.

y

(required, character string) name of the response variable

df

(required, data frame) data frame with the columns 'x' and 'y'.

Value

R-squared

See also

Other preference_order: auc_score(), case_weights(), f_gam_auc_balanced(), f_gam_auc_unbalanced(), f_gam_deviance(), f_logistic_auc_balanced(), f_logistic_auc_unbalanced(), f_rf_auc_balanced(), f_rf_auc_unbalanced(), f_rf_rsquared(), preference_order()

Examples

data(vi)

#subset to limit example run time
vi <- vi[1:1000, ]

f_rsquared(
  x = "growing_season_length", #predictor
  y = "vi_mean",               #response
  df = vi
)
#> [1] 0.8112105