For all examples the movies data set contained in the package will be used.
library(UpSetR) movies <- read.csv( system.file("extdata", "movies.csv", package = "UpSetR"), header=T, sep=";" )
Each list contained in the queries
parameter takes 4 fields: query
, params
, color
, and active
.
query
specifies which query is going to be run
params
is a list of paramters for the query to work on
color
is the color that will represent the query on the plot. If no color is provided, a color will be selected from the UpSetR default color palette.
active
determines how the query will be represented on the plot. If active
is TRUE
, the intersection size bar will be overlayed by a bar representing the query. If active
is FALSE
, a jitter point will be placed on the intersection size bar.
To learn how queries can be explored and visualized on an element level see the Attribute Plots vignette.
This example shows how to use the built in intersection query, intersects
, to find or display elements in specific intersections. In this example the color selected for the active query is from the default color palette.
upset(movies, queries = list(list(query = intersects, params = list("Drama", "Comedy", "Action"), color = "orange", active = T), list(query = intersects, params = list("Drama"), color = "red", active = F), list(query = intersects, params = list("Action", "Drama"), active = T)))
This example shows how to use the built in element query, elements
, to visualize how certain elements are distributed amongst the intersections.
upset(movies, queries = list(list(query = elements, params = list("AvgRating", 3.5, 4.1), color = "blue", active = T), list(query = elements, params = list("ReleaseDate", 1980, 1990, 2000), color = "red", active = F)))
This example shows how to use the expression
parameter to subset the results of element and intersection queries.
upset(movies, queries = list(list(query = intersects, params = list("Action", "Drama"), active = T), list(query = elements, params = list("ReleaseDate", 1980, 1990, 2000), color = "red", active = F)), expression = "AvgRating > 3 & Watches > 100")
Creating a custom query to operate on the rows of the data.
Myfunc <- function(row, release, rating){ data <- (row["ReleaseDate"] %in% release) & (row["AvgRating"] > rating) }
Applying the created query to the queries parameter.
upset(movies, queries = list(list(query = Myfunc, params = list(c(1970,1980, 1990, 1999, 2000), 2.5), color = "blue", active =T)))
To add a legend for the queries applied, the query.legend
parameter can be used. The query.legend
parameter takes the position where the legend should be displayed, either top or bottom. To apply a specific name to each query, the parameter query.name
can be used when defining the query in the queries
paramter. If no query.name
is provided, a generic name will be used. The example below shows how to do this.
upset(movies, query.legend = "top", queries = list(list(query = intersects, params = list("Drama", "Comedy", "Action"), color = "orange", active = T, query.name="Funny action"), list(query = intersects, params = list("Drama"), color = "red", active = F), list(query = intersects, params = list("Action", "Drama"), active = T, query.name="Emotional action")))
Combining pieces from all previous examples into one awesome query!
upset(movies, query.legend = "bottom", queries = list(list(query = Myfunc, params = list(c(1970,1980, 1990, 1999, 2000), 2.5), color = "orange", active =T), list(query = intersects, params = list("Action", "Drama"), active = F), list(query = elements, params = list("ReleaseDate", 1980, 1990, 2000), color = "red", active = F, query.name="Decades")), expression = "AvgRating > 3 & Watches > 100")
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