Exported Functions

Functions exported by manymodelr

add_model_residuals()

Add model residuals

fit_models()

Fit several models with different response variables

add_model_predictions()

Add predictions to the data set. A dplyr compatible way to add predictions to a data set.

agg_by_group()

A convenient way to perform grouped operations

extract_model_info()

Extract important model attributes

fit_model()

Fit and predict in a single function.

get_exponent()

Get the exponent of any number or numbers

get_mode()

A convenience function that returns the mode

get_data_Stats() get_stats()

A pipe friendly way to get summary stats for exploratory data analysis

get_this()

Helper function to easily access elements

get_var_corr()

Get correlations between variables

get_var_corr_()

Get correlations for combinations

multi_model_1()

Simultaneously train and predict on new data.

multi_model_2()

Fit and predict in one function

na_replace()

Replace missing values

na_replace_grouped()

Replace NAs by group

plot_corr()

Plot a correlations matrix

rowdiff()

Get row differences between values

select_col()

A convenient selector gadget

select_percentile()

Get the row corresponding to a given percentile

drop_non_numeric()

Drops non numeric columns from a data.frame object

yields

Plant yields