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 |