library(alluvial)
library(dplyr)

knitr::opts_chunk$set(
  fig.width=8,
  fig.height=6,
  fig.path = "tools/"
)

knitr::render_markdown(strict=FALSE)

R package for drawing alluvial diagrams

R-CMD-check rstudio mirror downloads cran version

What are alluvial diagrams? See for example:

This package use base R graphics [@r-graphics] package. For Grammar of Graphics implementation see ggalluvial [@r-ggalluvial;@ggalluvial-article].

Examples

Alluvial diagram of datasets::Titanic data made with alluvial(). Notice how each category block becomes a stacked barchart showing relative frequency of survivors.

tit <- tibble::as_tibble(Titanic)

tit %>% head() %>% knitr::kable()

alluvial(
    select(tit, Survived, Sex, Age, Class),
    freq=tit$n,
    col = ifelse(tit$Survived == "Yes", "orange", "grey"),
    border = ifelse(tit$Survived == "Yes", "orange", "grey"),
    layer = tit$Survived != "Yes",
    alpha = 0.8,
    blocks=FALSE
  )

Alluvial diagram for multiple time series / cross-sectional data based on alluvial::Refugees data made with alluvial_ts().

Refugees %>% head() %>% knitr::kable()


set.seed(39) # for nice colours
cols <- hsv(h = sample(1:10/10), s = sample(3:12)/15, v = sample(3:12)/15)

alluvial_ts(Refugees, wave = .3, ygap = 5, col = cols, plotdir = 'centred', alpha=.9,
            grid = TRUE, grid.lwd = 5, xmargin = 0.2, lab.cex = .7, xlab = '',
            ylab = '', border = NA, axis.cex = .8, leg.cex = .7,
            leg.col='white', 
            title = "UNHCR-recognised refugees\nTop 10 countries (2003-13)\n")

Installation

Install stable version from CRAN using

install.packages("alluvial")

or development version from GitHub using remotes::install_github():

remotes::install_github("mbojan/alluvial", build_vignettes=TRUE)

References



mbojan/alluvial documentation built on Dec. 28, 2021, 9:30 p.m.