easyalluvial (version 0.2.2)

alluvial_wide: alluvial plot of data in wide format

Description

plots a dataframe as an alluvial plot. All numerical variables are scaled, centered and YeoJohnson transformed before binning. Plots all variables in the sequence as they appear in the dataframe until maximum number of values is reached.

Usage

alluvial_wide(
  data,
  id = NULL,
  max_variables = 20,
  bins = 5,
  bin_labels = c("LL", "ML", "M", "MH", "HH"),
  NA_label = "NA",
  order_levels = NULL,
  fill_by = "first_variable",
  col_vector_flow = palette_qualitative() %>% palette_filter(greys = F),
  col_vector_value = RColorBrewer::brewer.pal(9, "Greys")[c(4, 7, 5, 8, 6)],
  colorful_fill_variable_stratum = T,
  verbose = F,
  stratum_labels = T,
  stratum_label_size = 4.5,
  stratum_width = 1/4,
  auto_rotate_xlabs = T,
  ...
)

Arguments

data

a dataframe

id

unquoted column name of id column or character vector with id column name

max_variables

maximum number of variables, Default: 20

bins

number of bins for numerical variables, Default: 5

bin_labels

labels for the bins from low to high, Default: c("LL", "ML", "M", "MH", "HH")

NA_label

character vector, define label for missing data, Default: 'NA'

order_levels

character vector denoting levels to be reordered from low to high

fill_by

one_of(c('first_variable', 'last_variable', 'all_flows', 'values')), Default: 'first_variable'

col_vector_flow

HEX colors for flows, Default: palette_filter( greys = F)

col_vector_value

Hex colors for y levels/values, Default: RColorBrewer::brewer.pal(9, "Greys")[c(3, 6, 4, 7, 5)]

colorful_fill_variable_stratum

logical, use flow colors to colorize fill variable stratum, Default: TRUE

verbose

logical, print plot summary, Default: F

stratum_labels

logical, Default: TRUE

stratum_label_size

numeric, Default: 4.5

stratum_width

double, Default: 1/4

auto_rotate_xlabs

logical, Default: TRUE

...

additional arguments passed to manip_bin_numerics

Value

ggplot2 object

Details

Under the hood this function converts the wide format into long format. ggalluvial also offers a way to make alluvial plots directly from wide format tables but it does not allow individual colouring of the stratum segments. The tradeoff is that we can only order levels as a whole and not individually by variable, Thus if some variables have levels with the same name the order will be the same. If we want to change level order independently we have to assign unique level names first.

See Also

alluvial_wide , geom_flow , geom_stratum , manip_bin_numerics

Examples

# NOT RUN {
alluvial_wide( data = mtcars2, id = ids
                , max_variables = 5
                , fill_by = 'first_variable' )
# }
# NOT RUN {
# more coloring variants----------------------
alluvial_wide( data = mtcars2, id = ids
                , max_variables = 5
                , fill_by = 'last_variable' )

alluvial_wide( data = mtcars2, id = ids
                , max_variables = 5
                , fill_by = 'all_flows' )

alluvial_wide( data = mtcars2, id = ids
                , max_variables = 5
                , fill_by = 'first_variable' )

# manually order variable values and colour by stratum value

alluvial_wide( data = mtcars2, id = ids
                 , max_variables = 5
                 , fill_by = 'values'
                 , order_levels = c('4', '8', '6') )
# }