# alluvial v0.1-2

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## Alluvial Diagrams

Creating alluvial diagrams (also known as parallel sets plots) for multivariate and time series-like data.

# R package for drawing alluvial diagrams

What are alluvial diagrams? See for example:

## 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_data_frame(Titanic)


Class Sex Age Survived n
1st Male Child No 0
2nd Male Child No 0
3rd Male Child No 35
Crew Male Child No 0
1st Female Child No 0
2nd Female Child No 0
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()

country year refugees
Afghanistan 2003 2136043
Burundi 2003 531637
Congo DRC 2003 453465
Iraq 2003 368580
Myanmar 2003 151384
Palestine 2003 350568
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

Using "devtools" package:

devtools::install_github("mbojan/alluvial")


## Functions in alluvial

 Name Description alluvial_ts Alluvial diagram for multiple time series data alluvial Alluvial diagram No Results!