Function reference • modelr

Resampling

bootstrap(): Generate n bootstrap replicates.

crossv_mc() crossv_kfold() crossv_loo(): Generate test-training pairs for cross-validation

permute() permute_(): Generate n permutation replicates.

resample(): A "lazy" resample.

resample_bootstrap(): Generate a boostrap replicate

resample_partition(): Generate an exclusive partitioning of a data frame

resample_permutation(): Create a resampled permutation of a data frame

Prediction grids

add_predictions() spread_predictions() gather_predictions(): Add predictions to a data frame

data_grid(): Generate a data grid.

typical(): Find the typical value

seq_range(): Generate a sequence over the range of a vector

Residuals and quality metrics

add_residuals() spread_residuals() gather_residuals(): Add residuals to a data frame

mse() rmse() mae() rsquare() qae() mape() rsae(): Compute model quality for a given dataset

Formulas

fit_with(): Fit a list of formulas

add_predictors(): Add predictors to a formula

formulas() formulae(): Create a list of formulas

Data

sim1 sim2 sim3 sim4: Simple simulated datasets

heights: Height and income data.

Helpers

geom_ref_line(): Add a reference line (ggplot2).

model_matrix(): Construct a design matrix

na.warn(): Handle missing values with a warning