alluvial_long: alluvial plot of data in long format

In easyalluvial: Generate Alluvial Plots with a Single Line of Code

alluvial plot of data in long format

Description

Plots two variables of a dataframe on an alluvial plot. A third variable can be added either to the left or the right of the alluvial plot to provide coloring of the flows. All numerical variables are scaled, centered and YeoJohnson transformed before binning.

Usage

alluvial_long(
  data,
  key,
  value,
  id,
  fill = NULL,
  fill_right = T,
  bins = 5,
  bin_labels = c("LL", "ML", "M", "MH", "HH"),
  NA_label = "NA",
  order_levels_value = NULL,
  order_levels_key = NULL,
  order_levels_fill = NULL,
  complete = TRUE,
  fill_by = "first_variable",
  col_vector_flow = palette_qualitative() %>% palette_filter(greys = F),
  col_vector_value = RColorBrewer::brewer.pal(9, "Greys")[c(3, 6, 4, 7, 5)],
  verbose = F,
  stratum_labels = T,
  stratum_label_size = 4.5,
  stratum_width = 1/4,
  auto_rotate_xlabs = T,
  ...
)

Arguments

data	a dataframe
key	unquoted column name or string of x axis variable
value	unquoted column name or string of y axis variable
id	unquoted column name or string of id column
fill	unquoted column name or string of fill variable which will be used to color flows, Default: NULL
fill_right	logical, TRUE fill variable is added to the right FALSE to the left, Default: T
bins	number of bins for automatic binning of numerical variables, Default: 5
bin_labels	labels for bins, Default: c("LL", "ML", "M", "MH", "HH")
NA_label	character vector define label for missing data
order_levels_value	character vector denoting order of y levels from low to high, does not have to be complete can also just be used to bring levels to the front, Default: NULL
order_levels_key	character vector denoting order of x levels from low to high, does not have to be complete can also just be used to bring levels to the front, Default: NULL
order_levels_fill	character vector denoting order of color fill variable levels from low to high, does not have to be complete can also just be used to bring levels to the front, Default: NULL
complete	logical, insert implicitly missing observations, Default: TRUE
fill_by	one_of(c('first_variable', 'last_variable', 'all_flows', 'values')), Default: 'first_variable'
col_vector_flow	HEX color values for flows, Default: palette_filter( greys = F)
col_vector_value	HEX color values for y levels/values, Default:RColorBrewer::brewer.pal(9, 'Greys')[c(3,6,4,7,5)]
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 parameter passed to manip_bin_numerics

Value

ggplot2 object

See Also

alluvial_wide ,geom_flow, geom_stratum ,manip_bin_numerics

Examples

## Not run: 
 data = quarterly_flights

 alluvial_long( data, key = qu, value = mean_arr_delay, id = tailnum, fill_by = 'last_variable' )

 # more flow coloring variants ------------------------------------

 alluvial_long( data, key = qu, value = mean_arr_delay, id = tailnum, fill_by = 'first_variable' )
 alluvial_long( data, key = qu, value = mean_arr_delay, id = tailnum, fill_by = 'all_flows' )
 alluvial_long( data, key = qu, value = mean_arr_delay, id = tailnum, fill_by = 'value' )

 # color by additional variable carrier ---------------------------

 alluvial_long( data, key = qu, value = mean_arr_delay, fill = carrier, id = tailnum )

 # use same color coding for flows and y levels -------------------

 palette = c('green3', 'tomato')

 alluvial_long( data, qu, mean_arr_delay, tailnum, fill_by = 'value'
                , col_vector_flow = palette
                , col_vector_value = palette )


 # reorder levels ------------------------------------------------

 alluvial_long( data, qu, mean_arr_delay, tailnum, fill_by = 'first_variable'
               , order_levels_value = c('on_time', 'late') )

 alluvial_long( data, qu, mean_arr_delay, tailnum, fill_by = 'first_variable'
               , order_levels_key = c('Q4', 'Q3', 'Q2', 'Q1') )

require(dplyr)
require(magrittr)

 order_by_carrier_size = data %>%
   group_by(carrier) %>%
   count() %>%
   arrange( desc(n) ) %>%
   .[['carrier']]

 alluvial_long( data, qu, mean_arr_delay, tailnum, carrier
                , order_levels_fill = order_by_carrier_size )


## End(Not run)

easyalluvial documentation built on July 5, 2022, 9:06 a.m.