Package 'ggupset' reference manual

Title:	Combination Matrix Axis for 'ggplot2' to Create 'UpSet' Plots
Description:	Replace the standard x-axis in 'ggplots' with a combination matrix to visualize complex set overlaps. 'UpSet' has introduced a new way to visualize the overlap of sets as an alternative to Venn diagrams. This package provides a simple way to produce such plots using 'ggplot2'. In addition it can convert any categorical axis into a combination matrix axis.
Authors:	Constantin Ahlmann-Eltze [aut, cre]
Maintainer:	Constantin Ahlmann-Eltze <[email protected]>
License:	GPL-3
Version:	0.4.0.9000
Built:	2024-11-22 04:37:13 UTC
Source:	https://github.com/const-ae/ggupset

Convert delimited text labels into a combination matrix axis

Description

The function splits the text based on the sep argument and views each occurring element as potential set.

Usage

axis_combmatrix(
  sep = "[^[:alnum:]]+",
  levels = NULL,
  override_plotting_function = NULL,
  xlim = NULL,
  ylim = NULL,
  expand = TRUE,
  clip = "on",
  ytrans = "identity"
)
axis_combmatrix(
  sep = "[^[:alnum:]]+",
  levels = NULL,
  override_plotting_function = NULL,
  xlim = NULL,
  ylim = NULL,
  expand = TRUE,
  clip = "on",
  ytrans = "identity"
)

Arguments

`sep`	The separator that is used to split the string labels. Can be a regex. Default: `"[^[:alnum:]]+"`
`levels`	The selection of string elements that are displayed in the combination matrix axis. Default: NULL, which means simply all elements in the text labels are used
`override_plotting_function`	to achieve maximum flexibility, you can provide a custom plotting function. For more information, see details. Default: `NULL`
`xlim`, `ylim`	The limits fort the x and y axes
`expand`	Boolean with the same effect as in `ggplot2::coord_cartesian()`. Default: TRUE
`clip`	String with the same effect as in `ggplot2::coord_cartesian()`. Default: "on"
`ytrans`	transformers for y axis. For more information see `ggplot2::coord_trans()`. Default: "identity"

Details

Technically the function appends a coord system to the ggplot object. To maintain compatibility additional arguments like ytrans, ylim, and clip are forwarded to coord_trans().

Note: make sure that the argument to the 'x' aesthetic is character vector that contains the sep sequence. The only exception is if axis_combmatrix() is combined with a scale_x_mergelist(). This pattern works because in the first step scale_x_mergelist() turns a list argument to 'x' into a character vector that axis_combmatrix() can work with.

For maximum flexibility, you can use the 'override_plotting_function' parameter which returns a ggplot and is called with a tibble with one entry per point of the combination matrix. Specifically, it contains

labels: the collapsed label string
single_label: an ordered factor with the labels on the left of the plot
id: consecutive numbering of the points
labels_split: a list column that contains the splitted labels
at: the x-position of the point
observed: boolean to indicate if this element is active in the intersection
index: the row of the point

See the examples how the override_plotting_function looks that recreates the default combination matrix

Examples

  library(ggplot2)
  mtcars$combined <- paste0("Cyl: ", mtcars$cyl, "_Gears: ", mtcars$gear)
  head(mtcars)
  ggplot(mtcars, aes(x=combined)) +
    geom_bar() +
    axis_combmatrix(sep = "_")

# Example of 'override_plotting_function'

ggplot(mtcars, aes(x=combined)) +
  geom_bar() +
    axis_combmatrix(sep = "_", override_plotting_function = function(df){
      ggplot(df, aes(x= at, y= single_label)) +
        geom_rect(aes(fill= index %% 2 == 0), ymin=df$index-0.5,
                  ymax=df$index+0.5, xmin=0, xmax=1) +
        geom_point(aes(color= observed), size = 3) +
        geom_line(data= function(dat) dat[dat$observed, ,drop=FALSE],
                  aes(group = labels), size= 1.2) +
        ylab("") + xlab("") +
        scale_x_continuous(limits = c(0, 1), expand = c(0, 0)) +
        scale_fill_manual(values= c(`TRUE` = "white", `FALSE` = "#F7F7F7")) +
        scale_color_manual(values= c(`TRUE` = "black", `FALSE` = "#E0E0E0")) +
        guides(color="none", fill="none") +
        theme(
          panel.background = element_blank(),
          axis.text.x = element_blank(),
          axis.ticks.y = element_blank(),
          axis.ticks.length = unit(0, "pt"),
          axis.title.y = element_blank(),
          axis.title.x = element_blank(),
          axis.line = element_blank(),
          panel.border = element_blank()
        )
    })

library(ggplot2)
  mtcars$combined <- paste0("Cyl: ", mtcars$cyl, "_Gears: ", mtcars$gear)
  head(mtcars)
  ggplot(mtcars, aes(x=combined)) +
    geom_bar() +
    axis_combmatrix(sep = "_")

# Example of 'override_plotting_function'

ggplot(mtcars, aes(x=combined)) +
  geom_bar() +
    axis_combmatrix(sep = "_", override_plotting_function = function(df){
      ggplot(df, aes(x= at, y= single_label)) +
        geom_rect(aes(fill= index %% 2 == 0), ymin=df$index-0.5,
                  ymax=df$index+0.5, xmin=0, xmax=1) +
        geom_point(aes(color= observed), size = 3) +
        geom_line(data= function(dat) dat[dat$observed, ,drop=FALSE],
                  aes(group = labels), size= 1.2) +
        ylab("") + xlab("") +
        scale_x_continuous(limits = c(0, 1), expand = c(0, 0)) +
        scale_fill_manual(values= c(`TRUE` = "white", `FALSE` = "#F7F7F7")) +
        scale_color_manual(values= c(`TRUE` = "black", `FALSE` = "#E0E0E0")) +
        guides(color="none", fill="none") +
        theme(
          panel.background = element_blank(),
          axis.text.x = element_blank(),
          axis.ticks.y = element_blank(),
          axis.ticks.length = unit(0, "pt"),
          axis.title.y = element_blank(),
          axis.title.x = element_blank(),
          axis.line = element_blank(),
          panel.border = element_blank()
        )
    })

A fictional biological dataset with a complex experimental design

Description

A fictional biological dataset with a complex experimental design

Usage

df_complex_conditions
df_complex_conditions

Format

a data frame with 360 rows and 4 variables

KO. Boolean value if the sample had a knock out.
DrugA. character vector with "Yes" and "No" elements indicating if the sample was treated with drug A.
Timepoint. Numeric vector with elements 8, 24, and 48 indicating the time of measurement since the beginning of the experiment.
response. Numeric vector with the response of the sample to the treatment conditions. Could for example be the concentration of a metabolite.

Examples

dim(df_complex_conditions)
head(df_complex_conditions)

dim(df_complex_conditions)
head(df_complex_conditions)

A fictional dataset describing which genes belong to certain pathways

Description

A fictional dataset describing which genes belong to certain pathways

Usage

gene_pathway_membership
gene_pathway_membership

Format

a matrix with 6 rows and 37 columns. Each row is one pathway, with its name given as 'rownames' and each column is a gene. The values in the matrix are Boolean indicators if the gene is a member of the pathway.

Examples

dim(gene_pathway_membership)
gene_pathway_membership[, 1:15]
dim(gene_pathway_membership)
gene_pathway_membership[, 1:15]

Merge list columns into character vectors

Description

The function handles list columns by collapsing them into delimited strings using the sep argument. This is useful to show sets and in combination with the axis_combmatrix() function.

Usage

scale_x_mergelist(sep = "-", ..., position = "bottom")
scale_x_mergelist(sep = "-", ..., position = "bottom")

Arguments

`sep`	String the is used to delimit the elements in each list entry. Default: "-".
`...`	additional arguments that are passed on to `ggplot2::scale_x_discrete`
`position`	either "top" or "bottom" to specify where the x axis drawn. Default: "bottom"

Examples

library(ggplot2)
ggplot(tidy_movies[1:100, ], aes(x=Genres)) +
  geom_bar() +
  scale_x_mergelist() +
  theme(axis.text.x = element_text(angle = 90, hjust=1, vjust = 0.5))

ggplot(tidy_movies[1:100, ], aes(x=Genres)) +
  geom_bar() +
  scale_x_mergelist(sep = " & ", name = "Merged Movie Genres", position = "top") +
  theme(axis.text.x = element_text(angle = 90, hjust=0, vjust = 0.5))


library(ggplot2)
ggplot(tidy_movies[1:100, ], aes(x=Genres)) +
  geom_bar() +
  scale_x_mergelist() +
  theme(axis.text.x = element_text(angle = 90, hjust=1, vjust = 0.5))

ggplot(tidy_movies[1:100, ], aes(x=Genres)) +
  geom_bar() +
  scale_x_mergelist(sep = " & ", name = "Merged Movie Genres", position = "top") +
  theme(axis.text.x = element_text(angle = 90, hjust=0, vjust = 0.5))

Scale to make UpSet plots

Description

This function takes a list column and turns it into a combination matrix axis. It internally wraps the call to scale_x_mergelist() and axis_combmatrix() and makes sure that the elements are sorted by size.

Usage

scale_x_upset(
  order_by = c("freq", "degree"),
  n_sets = Inf,
  n_intersections = Inf,
  sets = NULL,
  intersections = NULL,
  reverse = FALSE,
  ytrans = "identity",
  ...,
  position = "bottom"
)
scale_x_upset(
  order_by = c("freq", "degree"),
  n_sets = Inf,
  n_intersections = Inf,
  sets = NULL,
  intersections = NULL,
  reverse = FALSE,
  ytrans = "identity",
  ...,
  position = "bottom"
)

Arguments

`order_by`	either "freq" or "degree". Default: "freq"
`n_sets`	maximum number of sets that are displayed. Default: Inf
`n_intersections`	maximum number of intersections that are displayed. Default: Inf
`sets`	character vector that specifies which sets are displayed
`intersections`	a list of character vectors that specifies which intersections are displayed
`reverse`	boolean if the order of the intersections is reversed. Default: FALSE
`ytrans`	transformers for y axis. For more information see `axis_combmatrix()`. Default: "identity"
`...`	additional parameters for `ggplot2::discrete_scale()`
`position`	either "top" or "bottom" to specify where the combination matrix is drawn. Default: "bottom"

Examples

library(ggplot2)
ggplot(tidy_movies[1:100, ], aes(x=Genres)) +
  geom_bar() +
  scale_x_upset(reverse = TRUE, sets=c("Drama", "Action"))

 ggplot(tidy_movies[1:100, ], aes(x=Genres)) +
   geom_bar() +
   scale_x_upset(n_intersections = 5, ytrans="sqrt")

 ggplot(tidy_movies[1:100, ], aes(x=Genres, y=year)) +
   geom_boxplot() +
   scale_x_upset(intersections = list(c("Drama", "Comedy"), c("Short"), c("Short", "Animation")),
                 sets = c("Drama", "Comedy", "Short", "Animation", "Horror"))
library(ggplot2)
ggplot(tidy_movies[1:100, ], aes(x=Genres)) +
  geom_bar() +
  scale_x_upset(reverse = TRUE, sets=c("Drama", "Action"))

 ggplot(tidy_movies[1:100, ], aes(x=Genres)) +
   geom_bar() +
   scale_x_upset(n_intersections = 5, ytrans="sqrt")

 ggplot(tidy_movies[1:100, ], aes(x=Genres, y=year)) +
   geom_boxplot() +
   scale_x_upset(intersections = list(c("Drama", "Comedy"), c("Short"), c("Short", "Animation")),
                 sets = c("Drama", "Comedy", "Short", "Animation", "Horror"))

Theme for the combination matrix

Description

This theme sets the default styling for the combination matrix axis by extending the default ggplot2 theme().

Usage

theme_combmatrix(
  combmatrix.label.make_space = TRUE,
  combmatrix.label.width = NULL,
  combmatrix.label.height = NULL,
  combmatrix.label.extra_spacing = 3,
  combmatrix.label.total_extra_spacing = unit(10, "pt"),
  combmatrix.label.text = NULL,
  combmatrix.panel.margin = unit(c(1.5, 1.5), "pt"),
  combmatrix.panel.striped_background = TRUE,
  combmatrix.panel.striped_background.color.one = "white",
  combmatrix.panel.striped_background.color.two = "#F7F7F7",
  combmatrix.panel.point.size = 3,
  combmatrix.panel.line.size = 1.2,
  combmatrix.panel.line.color = "black",
  combmatrix.panel.point.color.fill = "black",
  combmatrix.panel.point.color.empty = "#E0E0E0",
  ...
)
theme_combmatrix(
  combmatrix.label.make_space = TRUE,
  combmatrix.label.width = NULL,
  combmatrix.label.height = NULL,
  combmatrix.label.extra_spacing = 3,
  combmatrix.label.total_extra_spacing = unit(10, "pt"),
  combmatrix.label.text = NULL,
  combmatrix.panel.margin = unit(c(1.5, 1.5), "pt"),
  combmatrix.panel.striped_background = TRUE,
  combmatrix.panel.striped_background.color.one = "white",
  combmatrix.panel.striped_background.color.two = "#F7F7F7",
  combmatrix.panel.point.size = 3,
  combmatrix.panel.line.size = 1.2,
  combmatrix.panel.line.color = "black",
  combmatrix.panel.point.color.fill = "black",
  combmatrix.panel.point.color.empty = "#E0E0E0",
  ...
)

Arguments

`combmatrix.label.make_space`	Boolean indicator if the y-axis label is moved so far to the left to make enough space for the combination matrix labels. Default: TRUE
`combmatrix.label.width`	A unit that specifies how much space to make for the labels of the combination matrix. Default: NULL, which means the width of the label text is used
`combmatrix.label.height`	A unit that specifies how high the combination matrix should be. Default: NULL, which means that the height of the label text + `combmatrix.label.total_extra_spacing` + #rows * `combmatrix.label.extra_spacing` is used. Default: 3
`combmatrix.label.extra_spacing`	A single number for the additional height per row. Default: `unit(10, "pt")`
`combmatrix.label.total_extra_spacing`	A unit that specifies the total offset for the height of the combination matrix
`combmatrix.label.text`	A `element_text()` to style the label text of the combination matrix. Default NULL, which means the style of `axis.text.y` is used.
`combmatrix.panel.margin`	A two element unit vector to specify top and bottom margin around the combination matrix. Default: `unit(c(1.5, 1.5), "pt")`
`combmatrix.panel.striped_background`	Boolean to indicate if the background of the plot is striped. Default: TRUE
`combmatrix.panel.striped_background.color.one`	Color of the first kind of stripes. Default: "white"
`combmatrix.panel.striped_background.color.two`	Color of the second kind of stripes. Default: "#F7F7F7"
`combmatrix.panel.point.size`	Number to specify the size of the points in the combination matrix. Default: 3
`combmatrix.panel.line.size`	Number to specify the size of the lines connecting the points. Default: 1.2
`combmatrix.panel.line.color`	Color of the lines connecting the points. Default: "black"
`combmatrix.panel.point.color.fill`	Color of the filled points. Default: "black"
`combmatrix.panel.point.color.empty`	Color of the empty points. Default: "#E0E0E0"
`...`	additional arguments that are passed to `theme()`

Examples

library(ggplot2)
# Ensure that the y-axis label is next to the axis by setting
# combmatrix.label.make_space to FALSE
ggplot(tidy_movies[1:100, ], aes(x=Genres)) +
  geom_bar() +
  scale_x_upset() +
  theme_combmatrix(combmatrix.label.text = element_text(color = "black", size=15),
                   combmatrix.label.make_space = FALSE,
                   plot.margin = unit(c(1.5, 1.5, 1.5, 65), "pt"))

 # Change the color of the background stripes
 ggplot(tidy_movies[1:100, ], aes(x=Genres)) +
   geom_bar() +
   scale_x_upset() +
   theme_combmatrix(combmatrix.panel.striped_background = TRUE,
                    combmatrix.panel.striped_background.color.one = "grey")

library(ggplot2)
# Ensure that the y-axis label is next to the axis by setting
# combmatrix.label.make_space to FALSE
ggplot(tidy_movies[1:100, ], aes(x=Genres)) +
  geom_bar() +
  scale_x_upset() +
  theme_combmatrix(combmatrix.label.text = element_text(color = "black", size=15),
                   combmatrix.label.make_space = FALSE,
                   plot.margin = unit(c(1.5, 1.5, 1.5, 65), "pt"))

 # Change the color of the background stripes
 ggplot(tidy_movies[1:100, ], aes(x=Genres)) +
   geom_bar() +
   scale_x_upset() +
   theme_combmatrix(combmatrix.panel.striped_background = TRUE,
                    combmatrix.panel.striped_background.color.one = "grey")

Tidy version of the movies dataset from the ggplot2 package

Description

The original ggplot2movies::movies dataset has 7 columns that contain indicators if a movies belongs to a certain genre. In this version the 7 columns are collapsed to a single list column to create a tidy dataset. It also has information on only 5,000 movies to reduce the size of the dataset. Furthermore each star rating is in its on row.

Usage

tidy_movies
tidy_movies

Format

a data frame with 50,000 rows and 10 columns

title. The title of the movie.
year. Year of release.
budget. Total budget (if known) in US dollars.
length. Length in minutes.
rating. Average IMDB user rating.
votes. Number of IMDB user who rated this movie.
mpaa. MPAA rating
Genres. List column with all genres the movie belongs to
stars, percent_rating. The number of stars and the corresponding percentage of people rating the movie with this many stars.

Examples

dim(tidy_movies)
head(tidy_movies)

dim(tidy_movies)
head(tidy_movies)

Package 'ggupset'

Help Index

Convert delimited text labels into a combination matrix axis

Description

Usage

Arguments

Details

Examples

A fictional biological dataset with a complex experimental design

Description

Usage

Format

Examples

A fictional dataset describing which genes belong to certain pathways

Description

Usage

Format

Examples

Merge list columns into character vectors

Description

Usage

Arguments

See Also

Examples

Scale to make UpSet plots

Description

Usage

Arguments

Examples

Theme for the combination matrix

Description

Usage

Arguments

Examples

Tidy version of the movies dataset from the ggplot2 package

Description

Usage

Format

Examples