ProbabilityScalePlot
✖
ProbabilityScalePlot
generates a probability plot scaled for the distribution "dist".
generates several scaled probability plots for data1, data2, ….
Details and Options




- ProbabilityScalePlot[data,"dist"] uses distribution-specific scales so that if data follows the given distribution, the plot will lie on a straight line.
- The following distribution-specific scales are supported:
-
"Normal" normal plot "Weibull" Weibull plot "Exponential" exponential plot "LogNormal" lognormal plot "Rayleigh" Rayleigh plot "Frechet" Fréchet plot "Gumbel" Gumbel plot - The positions plotted correspond to {xi,yi} where yi are uniform order statistics medians given by Quantile[{x1,x2,…},
].
- The data is scaled by distribution-specific transformations
and
given by:
-
"Exponential" "Frechet" "Gumbel" "LogNormal" "Normal" "Rayleigh" "Weibull" - Datasets can be given in the following forms:
-
{x1,x2,…} list of samples {Quantity[x1,unit],Quantity[x2,unit],…} samples with units <k1e1,k2e2,… > association of keys and samples WeightedData[…],EventData[…] augmented datasets TimeSeries[…],EventSeries[…],TemporalData[…] time series, event series, and temporal data w[{e1,e2,…},…] wrapper applied to a whole dataset w[{data1,data2,…}] wrapper applied to all datasets - The form w[data] provides a wrapper w to be applied to the resulting graphics primitives.
- ProbabilityScalePlot[Tabular[…]cspec] extracts and plots values from the tabular object using the column specification cspec.
- The following forms of column specifications cspec are allowed for plotting tabular data:
-
colx plot the values from column x {colx1,colx2,…} plot columns x1, x2, … - The following wrappers can be used:
-
Annotation[e,label] provide an annotation Button[e,action] define an action to execute when the element is clicked EventHandler[e,…] define a general event handler for the element Highlighted[datai,effect] dynamically highlight fi with an effect Highlighted[datai,Placed[effect,pos]] statically highlight fi with an effect at position pos Hyperlink[e,uri] make the element act as a hyperlink PopupWindow[e,cont] attach a popup window to the element StatusArea[e,label] display in the status area when the element is moused over Style[e,opts] show the element using the specified styles Tooltip[e,label] attach an arbitrary tooltip to the element - ProbabilityScalePlot has the same options as Graphics, with the following additions and changes: [List of all options]
-
AspectRatio 1/GoldenRatio ratio of height to width ClippingStyle Automatic what to draw where curves are clipped ColorFunction Automatic how to determine the coloring of curves ColorFunctionScaling True whether to scale arguments to ColorFunction Filling None filling to insert under each curve FillingStyle Automatic style to use for filling Joined Automatic whether to join points Mesh None how many mesh points to draw on each curve MeshFunctions {#1&} how to determine the placement of mesh points MeshShading None how to shade regions between mesh points MeshStyle Automatic the style for mesh points Method Automatic methods to use PerformanceGoal $PerformanceGoal aspects of performance to try to optimize PlotHighlighting Automatic highlighting effect for curves PlotLegends None legends for data points PlotMarkers None markers to use to indicate each point for datasets PlotRange Automatic range of values to include PlotRangeClipping True whether to clip at the plot range PlotStyle Automatic graphics directives to specify the style for each object PlotTheme $PlotTheme overall theme for the plot ReferenceLineStyle Automatic style for the reference line ScalingFunctions None how to scale individual coordinates WorkingPrecision MachinePrecision the precision used in internal computations for symbolic distributions - With Filling->Automatic, the region between a dataset and reference line will be filled. By default "stems" are used for datasets and "solid" filling is used for symbolic distributions. The setting Joined->True will force "solid" filling for datasets.
- The arguments supplied to functions in MeshFunctions and RegionFunction are
,
. Functions in ColorFunction are by default supplied with scaled versions of these arguments.
- The setting PlotStyle->Automatic uses a sequence of different plot styles for different lines.
- With the ReferenceLineStyle->None, no reference line will be drawn.
- Possible highlighting effects for Highlighted and PlotHighlighting include:
-
style highlight the indicated data "Ball" highlight and label the indicated point in data "Dropline" highlight and label the indicated point in data with droplines to the axes "XSlice" highlight and label all points along a vertical slice "YSlice" highlight and label all points along a horizontal slice Placed[effect,pos] statically highlight the given position pos - Highlight position specifications pos include:
-
x, {x} effect at {x,y} with y chosen automatically {x,y} effect at {x,y} {pos1,pos2,…} multiple positions posi - Typical settings for PlotLegends include:
-
None no legend Automatic automatically determine legend {lbl1,lbl2,…} use lbl1, lbl2, … as legend labels Placed[lspec,…] specify placement for legend - Possible settings for ScalingFunctions include:
-
sy scale the y axis {sx,sy} scale x and y axes - Common built-in scaling functions s include:
-
"Reverse" reverse the coordinate direction -
AlignmentPoint Center the default point in the graphic to align with AspectRatio 1/GoldenRatio ratio of height to width Axes False whether to draw axes AxesLabel None axes labels AxesOrigin Automatic where axes should cross AxesStyle {} style specifications for the axes Background None background color for the plot BaselinePosition Automatic how to align with a surrounding text baseline BaseStyle {} base style specifications for the graphic ClippingStyle Automatic what to draw where curves are clipped ColorFunction Automatic how to determine the coloring of curves ColorFunctionScaling True whether to scale arguments to ColorFunction ContentSelectable Automatic whether to allow contents to be selected CoordinatesToolOptions Automatic detailed behavior of the coordinates tool Epilog {} primitives rendered after the main plot Filling None filling to insert under each curve FillingStyle Automatic style to use for filling FormatType TraditionalForm the default format type for text Frame False whether to put a frame around the plot FrameLabel None frame labels FrameStyle {} style specifications for the frame FrameTicks Automatic frame ticks FrameTicksStyle {} style specifications for frame ticks GridLines None grid lines to draw GridLinesStyle {} style specifications for grid lines ImageMargins 0. the margins to leave around the graphic ImagePadding All what extra padding to allow for labels etc. ImageSize Automatic the absolute size at which to render the graphic Joined Automatic whether to join points LabelStyle {} style specifications for labels Mesh None how many mesh points to draw on each curve MeshFunctions {#1&} how to determine the placement of mesh points MeshShading None how to shade regions between mesh points MeshStyle Automatic the style for mesh points Method Automatic methods to use PerformanceGoal $PerformanceGoal aspects of performance to try to optimize PlotHighlighting Automatic highlighting effect for curves PlotLabel None an overall label for the plot PlotLegends None legends for data points PlotMarkers None markers to use to indicate each point for datasets PlotRange Automatic range of values to include PlotRangeClipping True whether to clip at the plot range PlotRangePadding Automatic how much to pad the range of values PlotRegion Automatic the final display region to be filled PlotStyle Automatic graphics directives to specify the style for each object PlotTheme $PlotTheme overall theme for the plot PreserveImageOptions Automatic whether to preserve image options when displaying new versions of the same graphic Prolog {} primitives rendered before the main plot ReferenceLineStyle Automatic style for the reference line RotateLabel True whether to rotate y labels on the frame ScalingFunctions None how to scale individual coordinates Ticks Automatic axes ticks TicksStyle {} style specifications for axes ticks WorkingPrecision MachinePrecision the precision used in internal computations for symbolic distributions
List of all options




Examples
open allclose allBasic Examples (3)Summary of the most common use cases
A normal probability plot compared to an estimated normal distribution:

https://wolfram.com/xid/0elt9lqb9g9n15e-g0tskz

https://wolfram.com/xid/0elt9lqb9g9n15e-dv8o4


https://wolfram.com/xid/0elt9lqb9g9n15e-p2bpzb

https://wolfram.com/xid/0elt9lqb9g9n15e-517gpa

Normal probability plot of several datasets with a legend:

https://wolfram.com/xid/0elt9lqb9g9n15e-7yv1c3

https://wolfram.com/xid/0elt9lqb9g9n15e-bptx6h

Scope (30)Survey of the scope of standard use cases
Data (13)
ProbabilityScalePlot works with numeric data:

https://wolfram.com/xid/0elt9lqb9g9n15e-xl

ProbabilityScalePlot with multiple datasets:

https://wolfram.com/xid/0elt9lqb9g9n15e-o97etp

https://wolfram.com/xid/0elt9lqb9g9n15e-eriw59


https://wolfram.com/xid/0elt9lqb9g9n15e-2lol5c

https://wolfram.com/xid/0elt9lqb9g9n15e-kii5os


https://wolfram.com/xid/0elt9lqb9g9n15e-tiko2m

https://wolfram.com/xid/0elt9lqb9g9n15e-mj6bdu

An exponential probability plot:

https://wolfram.com/xid/0elt9lqb9g9n15e-ff07el


https://wolfram.com/xid/0elt9lqb9g9n15e-0hn946


https://wolfram.com/xid/0elt9lqb9g9n15e-fs3foj


https://wolfram.com/xid/0elt9lqb9g9n15e-3vh0rb


https://wolfram.com/xid/0elt9lqb9g9n15e-owy1o


https://wolfram.com/xid/0elt9lqb9g9n15e-jyjfk7


https://wolfram.com/xid/0elt9lqb9g9n15e-n9b9so

Plot the values from an association:

https://wolfram.com/xid/0elt9lqb9g9n15e-16sn34


https://wolfram.com/xid/0elt9lqb9g9n15e-0lq0c8


https://wolfram.com/xid/0elt9lqb9g9n15e-4yjh3w


https://wolfram.com/xid/0elt9lqb9g9n15e-f8t5ta


https://wolfram.com/xid/0elt9lqb9g9n15e-j7aj6c

Tabular Data (1)

https://wolfram.com/xid/0elt9lqb9g9n15e-wbvnn2

Compare the data to a normal distribution:

https://wolfram.com/xid/0elt9lqb9g9n15e-g1wdpx

Compare multiple sets of data:

https://wolfram.com/xid/0elt9lqb9g9n15e-f5vu4z

Use PivotToColumns to generate columns of "SepalWidth" per species:

https://wolfram.com/xid/0elt9lqb9g9n15e-h3ud2v

Compare probability of sepal width per species:

https://wolfram.com/xid/0elt9lqb9g9n15e-3nog43

Use abbreviated names for extended keys when the elements are unique:

https://wolfram.com/xid/0elt9lqb9g9n15e-b1o1fc


https://wolfram.com/xid/0elt9lqb9g9n15e-c2ixb6

Presentation (16)
Multiple datasets are automatically colored to be distinct:

https://wolfram.com/xid/0elt9lqb9g9n15e-jtr7wy

https://wolfram.com/xid/0elt9lqb9g9n15e-bivltz

Provide explicit styling to different sets:

https://wolfram.com/xid/0elt9lqb9g9n15e-lfjuoq

https://wolfram.com/xid/0elt9lqb9g9n15e-05k80k

Include legends for each dataset:

https://wolfram.com/xid/0elt9lqb9g9n15e-29fpkz

https://wolfram.com/xid/0elt9lqb9g9n15e-svqzyx

Use Legended to provide a legend for a specific dataset:

https://wolfram.com/xid/0elt9lqb9g9n15e-jvwyu7

https://wolfram.com/xid/0elt9lqb9g9n15e-otnn10


https://wolfram.com/xid/0elt9lqb9g9n15e-jsuhnx

Use specific styles for the reference line:

https://wolfram.com/xid/0elt9lqb9g9n15e-dua2d


https://wolfram.com/xid/0elt9lqb9g9n15e-sscmlz


https://wolfram.com/xid/0elt9lqb9g9n15e-v5c2px

Provide an interactive Tooltip for the data:

https://wolfram.com/xid/0elt9lqb9g9n15e-tmzju6


https://wolfram.com/xid/0elt9lqb9g9n15e-fchv0g

https://wolfram.com/xid/0elt9lqb9g9n15e-yvgs4g


https://wolfram.com/xid/0elt9lqb9g9n15e-xfs9r1

https://wolfram.com/xid/0elt9lqb9g9n15e-gpp62q

Use shapes to distinguish different datasets:

https://wolfram.com/xid/0elt9lqb9g9n15e-zbu0t3

Use Joined to connect datasets with lines:

https://wolfram.com/xid/0elt9lqb9g9n15e-di7k8h

Use a theme to create a black-and-white plot:

https://wolfram.com/xid/0elt9lqb9g9n15e-qnr6h

Reverse the direction of the x axis:

https://wolfram.com/xid/0elt9lqb9g9n15e-ltcwsp

Plots usually have interactive callouts showing the coordinates when you mouse over them:

https://wolfram.com/xid/0elt9lqb9g9n15e-wniqin

Including specific wrappers or interactions, such as tooltips, turns off the interactive features:

https://wolfram.com/xid/0elt9lqb9g9n15e-74c01s

Choose from multiple interactive highlighting effects:

https://wolfram.com/xid/0elt9lqb9g9n15e-n6d7ls

Options (78)Common values & functionality for each option
ClippingStyle (4)
Omit clipped regions of the plot:

https://wolfram.com/xid/0elt9lqb9g9n15e-0qcqac

Show the clipped regions like the rest of the curve:

https://wolfram.com/xid/0elt9lqb9g9n15e-5ck1a8

Show the clipped regions with red lines:

https://wolfram.com/xid/0elt9lqb9g9n15e-81jvaq

Show the clipped regions as red and thick:

https://wolfram.com/xid/0elt9lqb9g9n15e-c3n8bs

ColorFunction (6)
ColorFunction requires at least one dataset to be Joined:

https://wolfram.com/xid/0elt9lqb9g9n15e-qndjj3

Color by scaled and
coordinates:

https://wolfram.com/xid/0elt9lqb9g9n15e-u20z4a

Color with a named color scheme:

https://wolfram.com/xid/0elt9lqb9g9n15e-n3g70b

Fill to the reference line with the color used for the curve:

https://wolfram.com/xid/0elt9lqb9g9n15e-lwp

ColorFunction has higher priority than PlotStyle for coloring the curve:

https://wolfram.com/xid/0elt9lqb9g9n15e-p0uon

Use Automatic in MeshShading to use ColorFunction:

https://wolfram.com/xid/0elt9lqb9g9n15e-6xbe8y

ColorFunctionScaling (2)
Filling (7)
Fill from data to the reference line:

https://wolfram.com/xid/0elt9lqb9g9n15e-0dgzmb

Use symbolic or explicit values for filling:

https://wolfram.com/xid/0elt9lqb9g9n15e-insrrc


https://wolfram.com/xid/0elt9lqb9g9n15e-hgt06w

Curves fill with solid regions:

https://wolfram.com/xid/0elt9lqb9g9n15e-wx4q3z

Fill from the third dataset to the bottom:

https://wolfram.com/xid/0elt9lqb9g9n15e-rtozy1

Fill between datasets using a particular style:

https://wolfram.com/xid/0elt9lqb9g9n15e-ba0u8a

Use different styles above and below the filling level:

https://wolfram.com/xid/0elt9lqb9g9n15e-zigo27

Filling only applies where the datasets overlap:

https://wolfram.com/xid/0elt9lqb9g9n15e-pppc1h

FillingStyle (2)
GridLines (1)
GridLinesStyle (1)
Joined (1)
Mesh (4)
Use 20 mesh levels evenly spaced in the direction:

https://wolfram.com/xid/0elt9lqb9g9n15e-gfbk92

Use the mesh to divide the curve into deciles:

https://wolfram.com/xid/0elt9lqb9g9n15e-ssswwr

https://wolfram.com/xid/0elt9lqb9g9n15e-se6467

Use an explicit list of values for the mesh:

https://wolfram.com/xid/0elt9lqb9g9n15e-cbjjqo

Specify mesh positions and styles:

https://wolfram.com/xid/0elt9lqb9g9n15e-dft9a9

MeshFunctions (2)
MeshShading (6)
Alternate red and blue segments of equal width in the direction:

https://wolfram.com/xid/0elt9lqb9g9n15e-gky3tn

Use None to remove segments:

https://wolfram.com/xid/0elt9lqb9g9n15e-vr08fl

MeshShading can be used with PlotStyle:

https://wolfram.com/xid/0elt9lqb9g9n15e-fap4gj

MeshShading has higher priority than PlotStyle for styling the curve:

https://wolfram.com/xid/0elt9lqb9g9n15e-kblnl4

Use the PlotStyle for some segments by setting MeshShading to Automatic:

https://wolfram.com/xid/0elt9lqb9g9n15e-ojnwt3

MeshShading can be used with ColorFunction:

https://wolfram.com/xid/0elt9lqb9g9n15e-54kv4p

MeshStyle (4)
Color the mesh the same color as the plot:

https://wolfram.com/xid/0elt9lqb9g9n15e-0w1c10

Use a red mesh in the direction:

https://wolfram.com/xid/0elt9lqb9g9n15e-e2f67g

Use a red mesh in the direction and a blue mesh in the
direction:

https://wolfram.com/xid/0elt9lqb9g9n15e-j9hdji

Use big red mesh points in the direction:

https://wolfram.com/xid/0elt9lqb9g9n15e-7w0q6r

Method (3)
By default a reference line is drawn through the first and third quartiles of data:

https://wolfram.com/xid/0elt9lqb9g9n15e-et3730

Draw the best-fit line through data:

https://wolfram.com/xid/0elt9lqb9g9n15e-ipu4ll

The reference line represents the reference distribution:

https://wolfram.com/xid/0elt9lqb9g9n15e-ugtuln

PlotHighlighting (9)
Plots have interactive coordinate callouts with the default setting PlotHighlightingAutomatic:

https://wolfram.com/xid/0elt9lqb9g9n15e-zcloq6

Use PlotHighlightingNone to disable the highlighting for the entire plot:

https://wolfram.com/xid/0elt9lqb9g9n15e-fxoi1n

Move the mouse over a set of points to highlight it using arbitrary graphics directives:

https://wolfram.com/xid/0elt9lqb9g9n15e-hjq7xt

Move the mouse over the points to highlight them with balls and labels:

https://wolfram.com/xid/0elt9lqb9g9n15e-egbp84

Move the mouse over the curve to highlight it with a label and droplines to the axes:

https://wolfram.com/xid/0elt9lqb9g9n15e-b51adx

Move the mouse over the plot to highlight it with a slice showing values corresponding to the
position:

https://wolfram.com/xid/0elt9lqb9g9n15e-bfnbpr

Move the mouse over the plot to highlight it with a slice showing values corresponding to the
position:

https://wolfram.com/xid/0elt9lqb9g9n15e-hoz0xr

Use a component that shows the points on the plot closest to the position of the mouse cursor:

https://wolfram.com/xid/0elt9lqb9g9n15e-p5qdrx

Specify the style for the points:

https://wolfram.com/xid/0elt9lqb9g9n15e-oltyqe

Use a component that shows the coordinates on the points closest to the mouse cursor:

https://wolfram.com/xid/0elt9lqb9g9n15e-ec6nq9

Use Callout options to change the appearance of the label:

https://wolfram.com/xid/0elt9lqb9g9n15e-ek5tok

Combine components to create a custom effect:

https://wolfram.com/xid/0elt9lqb9g9n15e-e4gtru

PlotLegends (7)
By default, no legends are used:

https://wolfram.com/xid/0elt9lqb9g9n15e-31d4aq

Generate a legend using labels:

https://wolfram.com/xid/0elt9lqb9g9n15e-2l9hwo

Generate a legend using placeholders:

https://wolfram.com/xid/0elt9lqb9g9n15e-m2tbba

Legends use the same styles as the plot:

https://wolfram.com/xid/0elt9lqb9g9n15e-yrztzn

Use Placed to specify the legend placement:

https://wolfram.com/xid/0elt9lqb9g9n15e-w6apfn

Place the legend inside the plot:

https://wolfram.com/xid/0elt9lqb9g9n15e-5ao9sp

Use LineLegend to change the legend appearance:

https://wolfram.com/xid/0elt9lqb9g9n15e-vtvtyt

PlotMarkers (7)
QuantilePlot normally uses distinct colors to distinguish different sets of data:

https://wolfram.com/xid/0elt9lqb9g9n15e-vseih0

https://wolfram.com/xid/0elt9lqb9g9n15e-c6cy0

Automatically use colors and shapes to distinguish sets of data:

https://wolfram.com/xid/0elt9lqb9g9n15e-43cpcx

https://wolfram.com/xid/0elt9lqb9g9n15e-nnrwdr


https://wolfram.com/xid/0elt9lqb9g9n15e-txrim

https://wolfram.com/xid/0elt9lqb9g9n15e-7huysu

Change the size of the default plot markers:

https://wolfram.com/xid/0elt9lqb9g9n15e-l40w6g

https://wolfram.com/xid/0elt9lqb9g9n15e-p65wd4

Use arbitrary text for plot markers:

https://wolfram.com/xid/0elt9lqb9g9n15e-wc6l75

https://wolfram.com/xid/0elt9lqb9g9n15e-9pxjmg

Use explicit graphics for plot markers:

https://wolfram.com/xid/0elt9lqb9g9n15e-gbqfr8

https://wolfram.com/xid/0elt9lqb9g9n15e-nmrgxn

Use the same symbol for all the sets of data:

https://wolfram.com/xid/0elt9lqb9g9n15e-pgeyb6

https://wolfram.com/xid/0elt9lqb9g9n15e-p2hyvg


https://wolfram.com/xid/0elt9lqb9g9n15e-bjunax

https://wolfram.com/xid/0elt9lqb9g9n15e-b9hyzw

PlotRange (3)
PlotRange is automatically calculated:

https://wolfram.com/xid/0elt9lqb9g9n15e-rkxjft


https://wolfram.com/xid/0elt9lqb9g9n15e-d3g0or

Show the distribution for between 1 and 3 and
between 90 and 99:

https://wolfram.com/xid/0elt9lqb9g9n15e-7qm9tc

PlotStyle (3)
Use different style directives:

https://wolfram.com/xid/0elt9lqb9g9n15e-le4jhi

By default different styles are chosen for multiple curves:

https://wolfram.com/xid/0elt9lqb9g9n15e-fopx6f

Explicitly specify the style for different curves:

https://wolfram.com/xid/0elt9lqb9g9n15e-5zl554

PlotTheme (1)
ReferenceLineStyle (3)
ReferenceLineStyle by default uses a Dotted form of PlotStyle:

https://wolfram.com/xid/0elt9lqb9g9n15e-g5o890

Draw a red dotted reference line:

https://wolfram.com/xid/0elt9lqb9g9n15e-woov1k

Draw a solid red reference line:

https://wolfram.com/xid/0elt9lqb9g9n15e-4kc4bg

Use None to turn off the reference line:

https://wolfram.com/xid/0elt9lqb9g9n15e-7zeffp

ScalingFunctions (2)
By default ProbabilityScalePlot uses an automatic scale on both of the axes:

https://wolfram.com/xid/0elt9lqb9g9n15e-8x95p

Reverse the direction of the x axis:

https://wolfram.com/xid/0elt9lqb9g9n15e-82jpor

Applications (2)Sample problems that can be solved with this function
A group of ecologists surveyed an island's bird species populations. For each species on the island, the number of individuals observed was recorded. Often LogNormalDistribution is used to model abundance of species:

https://wolfram.com/xid/0elt9lqb9g9n15e-1z01u
It appears that a lognormal model is a reasonable choice:

https://wolfram.com/xid/0elt9lqb9g9n15e-dn6d46

Find the best-fitting LogNormalDistribution using a maximum likelihood estimation:

https://wolfram.com/xid/0elt9lqb9g9n15e-d4vhr2

Normal probability plot for a time slice of a random process:

https://wolfram.com/xid/0elt9lqb9g9n15e-j5sxvt

https://wolfram.com/xid/0elt9lqb9g9n15e-eam1bf

Properties & Relations (8)Properties of the function, and connections to other functions
Compare data with different reference distributions:

https://wolfram.com/xid/0elt9lqb9g9n15e-438q3e

Compare the quantiles of data with quantiles of a normal distribution:

https://wolfram.com/xid/0elt9lqb9g9n15e-s4d0qu

Compare the CDF of the data with the CDF of a normal distribution:

https://wolfram.com/xid/0elt9lqb9g9n15e-w0plhl

BoxWhiskerChart and DistributionChart can be used to visualize the distribution of data:

https://wolfram.com/xid/0elt9lqb9g9n15e-nhk363

https://wolfram.com/xid/0elt9lqb9g9n15e-8qhfu8

SmoothHistogram and Histogram can be used to visualize the distribution of data:

https://wolfram.com/xid/0elt9lqb9g9n15e-lg3ivr

https://wolfram.com/xid/0elt9lqb9g9n15e-da1hac

DiscretePlot can be used to visualize discrete distributions:

https://wolfram.com/xid/0elt9lqb9g9n15e-2qycmh

Use ListPlot to see the data:

https://wolfram.com/xid/0elt9lqb9g9n15e-4b0ws4

https://wolfram.com/xid/0elt9lqb9g9n15e-17hocn

https://wolfram.com/xid/0elt9lqb9g9n15e-zu3qwy

ProbabilityScalePlot ignores time stamps when input is a TimeSeries:

https://wolfram.com/xid/0elt9lqb9g9n15e-lslhbg

https://wolfram.com/xid/0elt9lqb9g9n15e-yxyr31

Wolfram Research (2010), ProbabilityScalePlot, Wolfram Language function, https://reference.wolfram.com/language/ref/ProbabilityScalePlot.html (updated 2025).
Text
Wolfram Research (2010), ProbabilityScalePlot, Wolfram Language function, https://reference.wolfram.com/language/ref/ProbabilityScalePlot.html (updated 2025).
Wolfram Research (2010), ProbabilityScalePlot, Wolfram Language function, https://reference.wolfram.com/language/ref/ProbabilityScalePlot.html (updated 2025).
CMS
Wolfram Language. 2010. "ProbabilityScalePlot." Wolfram Language & System Documentation Center. Wolfram Research. Last Modified 2025. https://reference.wolfram.com/language/ref/ProbabilityScalePlot.html.
Wolfram Language. 2010. "ProbabilityScalePlot." Wolfram Language & System Documentation Center. Wolfram Research. Last Modified 2025. https://reference.wolfram.com/language/ref/ProbabilityScalePlot.html.
APA
Wolfram Language. (2010). ProbabilityScalePlot. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/ProbabilityScalePlot.html
Wolfram Language. (2010). ProbabilityScalePlot. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/ProbabilityScalePlot.html
BibTeX
@misc{reference.wolfram_2025_probabilityscaleplot, author="Wolfram Research", title="{ProbabilityScalePlot}", year="2025", howpublished="\url{https://reference.wolfram.com/language/ref/ProbabilityScalePlot.html}", note=[Accessed: 06-June-2025
]}
BibLaTeX
@online{reference.wolfram_2025_probabilityscaleplot, organization={Wolfram Research}, title={ProbabilityScalePlot}, year={2025}, url={https://reference.wolfram.com/language/ref/ProbabilityScalePlot.html}, note=[Accessed: 06-June-2025
]}