Takes a data frame of observations, with variables mapped to area and fill colour, and produces the coordinates for a treemap expressing these observations and mappings. These coordinates can be used to draw a customised treemap (recommended) or passed directly to the "ggplotify" function to produce an exploratory projection.
Input data frame must be in tidy format (see article by Hadley Wickham, below), i.e. each row must represent a single observation and each column a single variable. The area and fill parameters are mandatory; grouping and label factors are optional. Note that while adding a label will not change the treemap layout, adding a group will, as observations from the same group will be kept together.
Unlike the treemapify function, treemapify_fixed does not use
the squarified layout algorithm to minimise tile aspect ratio. Instead it
uses the striped algorithm, which can result in some tiles with poor aspect
ratios (long and skinny), but has the advantage that the position of tiles is
fixed by their order in the data frame. This allows for side-by-side
comparisons or animated treemaps showing change over time. Tile placement
proceeds by filling columns from left to right, beginning at the bottom of
each column.
treemapify_fixed(data, area, fill, group, label, xlim = c(0, 100),
ylim = c(0, 100))a tidy data frame, containing at least variables to be mapped to area (size of tile) and fill (fill colour of tile).
variable to be mapped to area; must be a column in data
variable to be mapped to fill; must be a column in data
(optional) variable to be mapped to group; must be a column in the data frame
(optional) variable to be used as the label for each observation; must be a column in the data frame
(optional) two-element vectors specifying the x and y limits of the area in which the tiles will be placed
"Tidy Data" is described by Hadley Wickham in: Wickham, H. (2014). Tidy data. Journal of Statistical Software. https://www.jstatsoft.org/article/view/v059i10/v59i10.pdf
treemapify, geom_treemap
Other treemapify: ggplotify,
treemapify