Package: modelr 0.1.11.9000

Hadley Wickham

modelr: Modelling Functions that Work with the Pipe

Functions for modelling that help you seamlessly integrate modelling into a pipeline of data manipulation and visualisation.

Authors:Hadley Wickham [aut, cre], Posit Software, PBC [cph, fnd]

# Install modelr in R:

install.packages('modelr', repos = c('https://tidyverse.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

On CRAN:

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