# Generate Alluvial Plots with a Single Line of Code

## Documentation for package ‘easyalluvial’ version 0.2.2

- DESCRIPTION file.

## Help Pages

add_imp_plot | add bar plot of important features to model response alluvial plot
add_marginal_histograms | add marginal histograms to alluvial plot
alluvial_long | alluvial plot of data in long format
alluvial_model_response | create model response plot
alluvial_model_response_caret | create model response plot for caret models
alluvial_wide | alluvial plot of data in wide format
get_data_space | calculate data space
get_pdp_predictions | get predictions compatibel with the partial dependence plotting method
manip_bin_numerics | bin numerical columns
manip_factor_2_numeric | converts factor to numeric preserving numeric levels and order in character levels.
mtcars2 | mtcars dataset with cyl, vs, am ,gear, carb as factor variables and car model names as id
palette_filter | color filters for any vector of hex color values
palette_increase_length | increases length of palette by repeating colours
palette_plot_intensity | plot colour intensity of palette
palette_plot_rgp | plot rgb values of palette
palette_qualitative | compose palette from qualitative RColorBrewer palettes
plot_all_hists | plot marginal histograms of alluvial plot
plot_condensation | Plot dataframe condensation potential
plot_hist | plot histogram of alluvial plot variable
plot_imp | plot feature importance
quarterly_flights | Quarterly mean arrival delay times for a set of 402 flights
quarterly_sunspots | Quarterly mean relative sunspots number from 1749-1983
tidy_imp | tidy up dataframe containing model feature importance
titanic | titanic data set'
use_e1071 | calls e1071::skewness