mod_lm.R
In mac-theobio/effects: isolated confidence intervals and bias-corrected predictor effects
source("makestuff/makeRfuns.R")
loadEnvironments()
sourceFiles()
## Fit lm model
mod_unscaled <- lm(y1 ~ x1 + x2, data = sim_df)
summary(mod_unscaled)
## Fit unscaled lm model
mod_scaled <- lm(y1 ~ x1std + x2std, data = sim_df)
summary(mod_scaled)
saveVars(mod_unscaled
, mod_scaled
, sim_df
)
mac-theobio/effects documentation built on July 6, 2023, 4:19 a.m.
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source("makestuff/makeRfuns.R")
loadEnvironments()
sourceFiles()
## Fit lm model
mod_unscaled <- lm(y1 ~ x1 + x2, data = sim_df)
summary(mod_unscaled)
## Fit unscaled lm model
mod_scaled <- lm(y1 ~ x1std + x2std, data = sim_df)
summary(mod_scaled)
saveVars(mod_unscaled
, mod_scaled
, sim_df
)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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