PairwiseProbabilityPlot
PairwiseProbabilityPlot[{{y11,…,y1n},…,{ym1,…,ymn}}]
plots a CDF of columns in the data against each other.
Details and Options
- PairwiseProbabilityPlot is also known as a P-P plot matrix.
- It plots high-dimensional data by creating a grid of individual plots of just two data columns at a time.
- The plot compares column yi={y1i,y2i,…,ymi} against column yj={y1j,y2j,…,ymj} by plotting a a probability-probability plot of yi against reference data yj in panel {i,j}.
- The plot in panel
consists of points whose coordinates are 
, where 
is the probability that a value in yi is less than the k
-smallest value in yj, for ![k=TemplateBox[{{{p, _, j}, , n}}, Ceiling]](Files/PairwiseProbabilityPlot.en/6.png "k=TemplateBox[{{{p, _, j}, , n}}, Ceiling]")
. - Probability plots can help identify the shapes of the distributions of the data column yi relative to column yj:
-
yi and yj are similarly distributed 
the probability that values are less than x is higher for yi than yj 
the probability that values are less than x is lower for yi than yj 
the probability that values are less than x is higher for yi than yj for smaller values of x 
the probability that values are less than x is higher for yi than yj for larger values of x - PairwiseProbabilityPlot takes the same options as ProbabilityPlot, with the following changes and additions:
-
AspectRatio 1 ratio of height to width for each panel Background None background to use for each plot Frame Automatic whether to draw frames around each panel FrameTicks Automatic whether to label frame edges with ticks and labels GridLines Automatic whether to include gridlines in panels GridLinesStyle Automatic style for gridlines HeaderAlignment Center horizontal and vertical alignments of headers HeaderBackground Automatic background colors to use for headers HeaderDisplayFunction Automatic function to use to format headers Headers Automatic labels to use for each data column yi HeaderStyle None styles to use for headers PerformanceGoal $PerformanceGoal aspects of performance to try to optimize PlotHighlighting Automatic highlighting effect for points PlotLayout Automatic how to arrange the panels PlotLegends Automatic legends for data PlotMarkers None markers to use to indicate each point PlotStyle Automatic graphics directives to determine styles of points PlotTheme $PlotTheme overall theme for the plot Spacings Automatic horizontal and vertical spacings - PlotLayout can have the following settings:
-
"Descending" data columns going down and to the right 
"Ascending" data columns going up and to the right 
"DescendingHalfMatrix" lower half of the descending layout 
"AscendingHalfMatrix" upper half of the ascending layout - Headers specifies the labels to use for each column in the data, and will generally be displayed above each column and after each row in the final plot.
- Possible settings include:
-
None leave the plot columns and rows unlabeled Automatic automatically label columns and rows All always include column and row labels "Indexed" number the columns and rows 1, 2, …, n {lbl1,lbl2,…,lbln} use the given labels lbli - HeaderAlignment determines how data column labels are aligned with regard to the plot columns and rows.
- HeaderAlignment can take the following forms:
-
Center center the labels in the header positions {h,v} separate horizontal and vertical alignments within the header position {cols,rows} use col for plot columns and row for plot rows - HeaderBackground and HeaderStyle can take the following forms:
-
None use ambient styling sty use the style sty for all headers {sty1, sty2,…,styn} use the given styles styifor successive headers {cols,rows} use col for plot columns and row for plot rows - HeaderDisplayFunction determines how headers are displayed.
- Possible settings are:
-
Automatic automatic formatting None use unprocessed labels - The arguments to ColorFunction are yi1,yi2,…,yin. By default, the color function arguments are scaled per data column to be between 0 and 1.
- Use ColorFunctionScalingNone to use unscaled values, or ColorFunctionScaling{cfsc1,cfsc2,…} to selectively scale column values.
- Possible settings for PlotHighlighting include:
-
Automatic automatically highlight positions in the panels None disable interactive highlighting
Examples
open allclose allBasic Examples (3)
Options (29)
AspectRatio (2)
By default, PairwiseProbabilityPlot uses an equal height-to-width ratio:
Axes (3)
Background (2)
Frame (2)
On PairwiseProbabilityPlot, a frame is drawn on each subplot by default:
GridLines (2)
Headers (3)
By default, PairwiseProbabilityPlot does not label headers:
HeaderBackground (2)
ImageSize (6)
Use named sizes such as Tiny, Small, Medium, and Large:
Specify the width of the plot:
Specify the height of the plot:
Allow the width and height to be up to a certain size:
Specify the width and height for a graphic, padding with space if necessary:
Setting AspectRatioFull will fill the available space:
Use maximum sizes for the width and height:
Use ImageSizeFull to fill the available space in an object:
PlotLayout (3)
PlotStyle (1)
Style the data using PlotStyle:
Text
Wolfram Research (2023), PairwiseProbabilityPlot, Wolfram Language function, https://reference.wolfram.com/language/ref/PairwiseProbabilityPlot.html.
CMS
Wolfram Language. 2023. "PairwiseProbabilityPlot." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/PairwiseProbabilityPlot.html.
APA
Wolfram Language. (2023). PairwiseProbabilityPlot. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/PairwiseProbabilityPlot.html