model_step: Create model and calculate model metric
In eribul/r2samplesize: Relation Between Sample Size and Effect Size
Description
Usage
Arguments
Value
Description
Call train if control_method is anything else than
"none", otherwise call lm directly and calculate the metrics.
Usage
1
model_step(d, control_method)
Arguments
d
data frame as given by subsamples
control_method
argument passed to trainControl
as its "method" argument
...
arguments passed to trainControl
Value
Named numeric vector of length two with Rsquared and RMSE
eribul/r2samplesize documentation built on May 16, 2019, 8:25 a.m.
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.
Description Usage Arguments Value
Description
Call train if control_method is anything else than
"none", otherwise call lm directly and calculate the metrics.
Usage
1 | model_step(d, control_method)
|
Arguments
d |
data frame as given by |
control_method |
argument passed to |
... |
arguments passed to |
Value
Named numeric vector of length two with Rsquared and RMSE
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.