• alluvial produces both the alluvia, which link cohorts across multiple dimensions, and (what are here called) the strata, which partition the data along each dimension, in a single function whereas ggalluvial relies on separate layers (stats and geoms) to produce strata, alluvia, and alluvial segments called lodes and flows.Īdditionally, ggalluvial arranges these layers vertically without gaps, so that the secondary plotting axis indicates the cumulative values of the strata at each dimension. titanicwide <- ame(Titanic) head(titanicwide) > Class Sex Age Survived Freq > 1 1st Male Child No 0 > 2 2nd Male. alluvial uses each variable of these inputs as a dimension of the data, whereas ggalluvial requires the user to specify the dimensions, either as separate aesthetics or as key-value pairs.alluvial understands a variety of inputs (vectors, lists, data frames), whereas ggalluvial requires a single data frame.The design is inspired by the alluvial package, but the ggplot2 framework induced several conspicuous differences: It is this unique pursuit of history above all else that will one day yield the most comprehensive virtual Titanic model and sinking simulation ever constructed. The alluvial plots implemented here can be used to visualize frequency distributions over time or frequency tables involving several categorical variables. Our flagship project, aims to recreate 100 of Titanic with more visual detail, historical accuracy and gameplay capabilities than ever before.
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