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ggpairs

ggplot2 generalized pairs plot

Description

Make a matrix of plots with a given data set

Usage

ggpairs(
  data,
  mapping = NULL,
  columns = 1:ncol(data),
  title = NULL,
  upper = list(continuous = "cor", combo = "box_no_facet", discrete = "count", na =
    "na"),
  lower = list(continuous = "points", combo = "facethist", discrete = "facetbar", na =
    "na"),
  diag = list(continuous = "densityDiag", discrete = "barDiag", na = "naDiag"),
  params = NULL,
  ...,
  xlab = NULL,
  ylab = NULL,
  axisLabels = c("show", "internal", "none"),
  columnLabels = colnames(data[columns]),
  labeller = "label_value",
  switch = NULL,
  showStrips = NULL,
  legend = NULL,
  cardinality_threshold = 15,
  progress = NULL,
  proportions = NULL,
  legends = stop("deprecated")
)

Arguments

`data`	data set using. Can have both numerical and categorical data.
`mapping`	aesthetic mapping (besides `x` and `y`). See `aes()`. If `mapping` is numeric, `columns` will be set to the `mapping` value and `mapping` will be set to `NULL`.
`columns`	which columns are used to make plots. Defaults to all columns.
`title, xlab, ylab`	title, x label, and y label for the graph
`upper`	see Details
`lower`	see Details
`diag`	see Details
`params`	deprecated. Please see `wrap_fn_with_param_arg`
`...`	deprecated. Please use `mapping`
`axisLabels`	either "show" to display axisLabels, "internal" for labels in the diagonal plots, or "none" for no axis labels
`columnLabels`	label names to be displayed. Defaults to names of columns being used.
`labeller`	labeller for facets. See `labellers`. Common values are `"label_value"` (default) and `"label_parsed"`.
`switch`	switch parameter for facet_grid. See `ggplot2::facet_grid`. By default, the labels are displayed on the top and right of the plot. If `"x"`, the top labels will be displayed to the bottom. If `"y"`, the right-hand side labels will be displayed to the left. Can also be set to `"both"`
`showStrips`	boolean to determine if each plot's strips should be displayed. `NULL` will default to the top and right side plots only. `TRUE` or `FALSE` will turn all strips on or off respectively.
`legend`	May be the two objects described below or the default `NULL` value. The legend position can be moved by using ggplot2's theme element `pm + theme(legend.position = "bottom")` a numeric vector of length 2 provides the location of the plot to use the legend for the plot matrix's legend. Such as `legend = c(3,5)` which will use the legend from the plot in the third row and fifth column a single numeric value provides the location of a plot according to the display order. Such as `legend = 3` in a plot matrix with 2 rows and 5 columns displayed by column will return the plot in position `c(1,2)` a object from `grab_legend()` a predetermined plot legend that will be displayed directly
`cardinality_threshold`	maximum number of levels allowed in a character / factor column. Set this value to NULL to not check factor columns. Defaults to 15
`progress`	`NULL` (default) for a progress bar in interactive sessions with more than 15 plots, `TRUE` for a progress bar, `FALSE` for no progress bar, or a function that accepts at least a plot matrix and returns a new `progress::progress_bar`. See `ggmatrix_progress`.
`proportions`	Value to change how much area is given for each plot. Either `NULL` (default), numeric value matching respective length, `grid::unit` object with matching respective length or `"auto"` for automatic relative proportions based on the number of levels for categorical variables.
`legends`	deprecated

Details

upper and lower are lists that may contain the variables 'continuous', 'combo', 'discrete', and 'na'. Each element of the list may be a function or a string. If a string is supplied, it must be a character string representing the tail end of a ggally_NAME function. The list of current valid ggally_NAME functions is visible in a dedicated vignette.

continuous: This option is used for continuous X and Y data.
combo: This option is used for either continuous X and categorical Y data or categorical X and continuous Y data.
discrete: This option is used for categorical X and Y data.
na: This option is used when all X data is NA, all Y data is NA, or either all X or Y data is NA.

diag is a list that may only contain the variables 'continuous', 'discrete', and 'na'. Each element of the diag list is a string implementing the following options:

continuous: exactly one of ('densityDiag', 'barDiag', 'blankDiag'). This option is used for continuous X data.
discrete: exactly one of ('barDiag', 'blankDiag'). This option is used for categorical X and Y data.
na: exactly one of ('naDiag', 'blankDiag'). This option is used when all X data is NA.

If 'blank' is ever chosen as an option, then ggpairs will produce an empty plot.

If a function is supplied as an option to upper, lower, or diag, it should implement the function api of function(data, mapping, ...){#make ggplot2 plot}. If a specific function needs its parameters set, wrap(fn, param1 = val1, param2 = val2) the function with its parameters.

Value

ggmatrix object that if called, will print

Author(s)

Barret Schloerke, Jason Crowley, Di Cook, Heike Hofmann, Hadley Wickham

References

John W Emerson, Walton A Green, Barret Schloerke, Jason Crowley, Dianne Cook, Heike Hofmann, Hadley Wickham. The Generalized Pairs Plot. Journal of Computational and Graphical Statistics, vol. 22, no. 1, pp. 79-91, 2012.

Examples

# small function to display plots only if it's interactive
p_ <- GGally::print_if_interactive


## Quick example, with and without colour
data(flea)
ggpairs(flea, columns = 2:4)
pm <- ggpairs(flea, columns = 2:4, ggplot2::aes(colour=species))
p_(pm)
# Note: colour should be categorical, else you will need to reset
# the upper triangle to use points instead of trying to compute corr

data(tips, package = "reshape")
pm <- ggpairs(tips[, 1:3])
p_(pm)
pm <- ggpairs(tips, 1:3, columnLabels = c("Total Bill", "Tip", "Sex"))
p_(pm)
pm <- ggpairs(tips, upper = "blank")
p_(pm)

## Plot Types
# Change default plot behavior
pm <- ggpairs(
  tips[, c(1, 3, 4, 2)],
  upper = list(continuous = "density", combo = "box_no_facet"),
  lower = list(continuous = "points", combo = "dot_no_facet")
)
p_(pm)
# Supply Raw Functions (may be user defined functions!)
pm <- ggpairs(
  tips[, c(1, 3, 4, 2)],
  upper = list(continuous = ggally_density, combo = ggally_box_no_facet),
  lower = list(continuous = ggally_points, combo = ggally_dot_no_facet)
)
p_(pm)

# Use sample of the diamonds data
data(diamonds, package="ggplot2")
diamonds.samp <- diamonds[sample(1:dim(diamonds)[1], 1000), ]

# Different aesthetics for different plot sections and plot types
pm <- ggpairs(
 diamonds.samp[, 1:5],
 mapping = ggplot2::aes(color = cut),
 upper = list(continuous = wrap("density", alpha = 0.5), combo = "box_no_facet"),
 lower = list(continuous = wrap("points", alpha = 0.3), combo = wrap("dot_no_facet", alpha = 0.4)),
 title = "Diamonds"
)
p_(pm)

## Axis Label Variations
# Only Variable Labels on the diagonal (no axis labels)
pm <- ggpairs(tips[, 1:3], axisLabels="internal")
p_(pm)
# Only Variable Labels on the outside (no axis labels)
pm <- ggpairs(tips[, 1:3], axisLabels="none")
p_(pm)

## Facet Label Variations
#  Default:
df_x <- rnorm(100)
df_y <- df_x + rnorm(100, 0, 0.1)
df <- data.frame(x = df_x, y = df_y, c = sqrt(df_x^2 + df_y^2))
pm <- ggpairs(
  df,
  columnLabels = c("alpha[foo]", "alpha[bar]", "sqrt(alpha[foo]^2 + alpha[bar]^2)")
)
p_(pm)
#  Parsed labels:
pm <- ggpairs(
  df,
  columnLabels = c("alpha[foo]", "alpha[bar]", "sqrt(alpha[foo]^2 + alpha[bar]^2)"),
  labeller = "label_parsed"
)
p_(pm)

## Plot Insertion Example
custom_car <- ggpairs(mtcars[, c("mpg", "wt", "cyl")], upper = "blank", title = "Custom Example")
# ggplot example taken from example(geom_text)
  plot <- ggplot2::ggplot(mtcars, ggplot2::aes(x=wt, y=mpg, label=rownames(mtcars)))
  plot <- plot +
    ggplot2::geom_text(ggplot2::aes(colour=factor(cyl)), size = 3) +
    ggplot2::scale_colour_discrete(l=40)
custom_car[1, 2] <- plot
personal_plot <- ggally_text(
  "ggpairs allows you\nto put in your\nown plot.\nLike that one.\n <---"
)
custom_car[1, 3] <- personal_plot
p_(custom_car)

## Remove binwidth warning from ggplot2
# displays warning about picking a better binwidth
pm <- ggpairs(tips, 2:3)
p_(pm)
# no warning displayed
pm <- ggpairs(tips, 2:3, lower = list(combo = wrap("facethist", binwidth = 0.5)))
p_(pm)
# no warning displayed with user supplied function
pm <- ggpairs(tips, 2:3, lower = list(combo = wrap(ggally_facethist, binwidth = 0.5)))
p_(pm)

## Remove panel grid lines from correlation plots
pm <- ggpairs(
  flea, columns = 2:4,
  upper = list(continuous = wrap(ggally_cor, displayGrid = FALSE))
)
p_(pm)

## Custom with/height of subplots
pm <- ggpairs(tips, columns = c(2, 3, 5))
p_(pm)

pm <- ggpairs(tips, columns = c(2, 3, 5), proportions = "auto")
p_(pm)

pm <- ggpairs(tips, columns = c(2, 3, 5), proportions = c(1, 3, 2))
p_(pm)

GGally

Extension to 'ggplot2'

v2.1.1

GPL (>= 2.0)

Authors

Barret Schloerke [aut, cre], Di Cook [aut, ths], Joseph Larmarange [aut], Francois Briatte [aut], Moritz Marbach [aut], Edwin Thoen [aut], Amos Elberg [aut], Ott Toomet [ctb], Jason Crowley [aut], Heike Hofmann [ths], Hadley Wickham [ths]

Initial release

ggpairs

Description

Usage

Arguments

Details

Value

Author(s)

References

See Also

Examples

GGally

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