| partial_cor {randomForestVIP} | R Documentation |
Partial Correlations
Description
A list of data.frames and useful plots for user evaluations of correlations and partial correlations of predictors with a given response.
Usage
partial_cor(formula, data = NULL, model = lm, num_var, ...)
Arguments
formula |
an object of class "formula" (or one that can be coerced to that class): a symbolic description of the model to be fitted. |
data |
a data frame containing the variables in the model. By default the variables are taken from the environment which the model is called from. |
model |
Model to use for extraction partial correlations. Possible model choices are lm, rpart, randomForest, and svm. Default is lm. |
num_var |
Optional integer argument for reducing the number of variables to the top 'num_var'. Should be an integer between 1 and the total number of predictor variables in the model or it should be a positive proportion of variables desired. |
... |
Additional arguments to be passed to model as needed. |
Value
A list of data.frames and useful plots for user evaluations of partial correlations.
Examples
pcs <- partial_cor(Petal.Length ~ ., data = iris[-5], model = lm)
pcs$plot_y_part_cors