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For the same model, ols_step_backward_p() works or throws error for different range of prem (p value threshold for removing a variable from the model) values.
# load package
library(olsrr)
#> #> Attaching package: 'olsrr'#> The following object is masked from 'package:datasets':#> #> rivers# modelmodel<- lm(y~age+gender+alc_mod, data=surgical)
# stepwise backward selection# works
ols_step_backward_p(model, 0.2)
#> #> #> Elimination Summary #> --------------------------------------------------------------------------#> Variable Adj. #> Step Removed R-Square R-Square C(p) AIC RMSE #> --------------------------------------------------------------------------#> 1 age 0.0653 0.0286 2.4695 802.9616 380.6259 #> --------------------------------------------------------------------------# throws error
ols_step_backward_p(model, 0.1)
#> Error in str2lang(x): <text>:2:0: unexpected end of input#> 1: y ~ #> ^
For the same model,
ols_step_backward_p()
works or throws error for different range ofprem
(p value threshold for removing a variable from the model) values.Created on 2021-08-13 by the reprex package (v0.3.0)
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