Modelling Functions that Work with the Pipe

Documentation for package ‘modelr’ version 0.1.0

add_predictions	Add predictions to a data frame
add_predictors	Add predictors to a formula
add_residuals	Add residuals to a data frame
bootstrap	Generate 'n' bootstrap replicates.
crossv_kfold	Generate cross-validated test-training pairs
crossv_mc	Generate cross-validated test-training pairs
data_grid	Generate a data grid.
fit_with	Fit a list of formulas
formulae	Create a list of formulas
formulas	Create a list of formulas
gather_predictions	Add predictions to a data frame
gather_residuals	Add residuals to a data frame
geom_ref_line	Add a reference line (ggplot2).
heights	Height and income data.
mae	Compute model quality for a given dataset
model-quality	Compute model quality for a given dataset
model_matrix	Construct a design matrix
na.warn	Handle missing values with a warning
qae	Compute model quality for a given dataset
resample	A "lazy" resample.
resample_bootstrap	Generate a boostrap replicate
resample_partition	Generate an exclusive partitioning of a data frame
rmse	Compute model quality for a given dataset
rsquare	Compute model quality for a given dataset
seq_range	Generate a sequence over the range of a vector
sim	Simple simulated datasets
sim1	Simple simulated datasets
sim2	Simple simulated datasets
sim3	Simple simulated datasets
sim4	Simple simulated datasets
spread_predictions	Add predictions to a data frame
spread_residuals	Add residuals to a data frame
typical	Find the typical value