will add density histograms and frequency plots of original data to alluvial plot

add_marginal_histograms(
  p,
  data_input,
  top = TRUE,
  keep_labels = FALSE,
  plot = TRUE,
  ...
)

Arguments

p

alluvial plot

data_input

dataframe, input data that was used to create dataframe

top

logical, position of histograms, if FALSE adds them at the bottom, Default: TRUE

keep_labels

logical, keep title and caption, Default: FALSE

plot

logical if plot should be drawn or not

...

additional arguments for model response alluvial plot concerning the response variable

pred_train

display training prediction, not necessary if pred_train has already been passed to alluvial_model_response()

scale

int, y-axis distance between the ridge plots, Default: 400

resp_var

character vector, specify response variable in data_input, if not set response variable will try to be inferred, Default: NULL

Value

gtable

See also

Examples

if (FALSE) {
p = alluvial_wide(mtcars2, max_variables = 3)
p_grid = add_marginal_histograms(p, mtcars2)
}