extract_lm_cv_all | R Documentation |
The function runs a linear model on a list of x and list of y variables and conducts a k-folds cross validation, which returns a data frame containing the following: The r^2, p-value, slope, intercept of the global lm model & average r^2, average RMSE, average MAE from the crossvalidated model
extract_lm_cv_all(
parameters,
df,
train_method = "lm",
control_method = "repeatedcv",
folds = 3,
nrepeats = 5
)
parameters |
the list of dependent variables to be evaluated |
df |
data frame containing the values for parameter and algorithm arguments |
train_method |
A string specifying which classification or regression model to use (Default = "lm"). See ?caret::train for more details |
control_method |
A string specifying the resampling method (Default = "repeatedcv"). See ?caret::trainControl for more details |
folds |
the number of folds to be used in the cross validation model |
nrepeats |
the number of iterations to be used in the cross validation model |
A data frame of the model results
Johansen, Richard; et al. (2018). Evaluating the portability of satellite derived chlorophyll-a algorithms for temperate inland lakes using airborne hyperspectral imagery and dense surface observations. Harmful Algae. 76. 10.1016/j.hal.2018.05.001.
R Core Team (2018). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.
Max Kuhn. Contributions from Jed Wing, Steve Weston, Andre Williams, Chris Keefer, Allan Engelhardt, Tony Cooper, Zachary Mayer, Brenton Kenkel, the R Core Team, Michael Benesty, Reynald Lescarbeau, Andrew Ziem, Luca Scrucca, Yuan Tang, Can Candan and Tyler Hunt. (2018). caret: Classification and Regression Training. R package version 6.0-81. https://CRAN.R-project.org/package=caret
Other extract_lm:
extract_lm_cv_multi()
,
extract_lm_cv()
,
extract_lm()
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.