R-squared between a response and a predictor
f_rsquared.Rd
Computes the R-squared between a response and a predictor. Fastest option to compute preference order.
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'.
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