If the plot type is "heat" or "bool", then a vector of colors can be provided where there is one color for each unique category (character). If the plot type is a bar plot then the parameter only takes one color for the whole plot. Since the UpSet plot is typically plotted on a 100 by 100 grid, the grid will now be 100 by 130 where roughly 1/4 ofthe plot is assigned to the metadata plots.Ĭolors: is used to specify the colors used in the metadata plots. For instance if you’re plotting 2 set metadata plots then you may choose one plot to take up 20 columns and other plot 10 columns. This type is useful for identifying characteristics of sets using the matrix.Īssign: is the number of the columns that should be assigned to the specific plot. There is also a type called "matrix_rows" which allows us to use apply colors to the matrix background using categorical data. Additionally, if the data in the column is ordinal (factor), then the plot type can be either a heat map or text. If the data in the column is categorical (character), then the plot type can either be a heat map ( "heat") or text ( "text"). If the data in the column is boolean, then the plot type can be a "bool" heat map.
If the data in the column is numeric, then the plot type can be either a bar plot ( "hist"), or heat map ( "heat"). Type: is what type of plot should be used to display the data from the specified column. These parameters include column, type, assign, and colors.Ĭolumn: is the column of the dataframe that should be used for the specified plot. Plots: is a list that takes a list of parameters that are used to generate the plots. The set.metadata parameter is broken up into 3 fields: data, ncols, and plots.ĭata: takes a data frame where the first column is the set names, and the following columns are attributes of the sets.
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