plot2kill.plot

Members

Classes

BarPlot

class BarPlot

A basic bar plot.

BoxPlot

class BoxPlot

Draw a basic box-and-whisker plot. The plots are drawn centered at Y coordinates [0, 1, ..., N) unless the offset property is set to something else (which is useful for putting multiple box pots with different color boxes on the same figure).

ContinuousFunction

class ContinuousFunction

Plot a callable object on a range of values.

Dendrogram

class Dendrogram

A dendrogram is a tree of hierarchically clustered data such that the height of each split is proportional to the distance between clusters.

DiscreteFunction

class DiscreteFunction

Plot a callable object on a range of values.

FrequencyHistogram

class FrequencyHistogram

Creates a histogram with equal frequency binning instead of equal width binning. The scale of a FrequencyHistogram is the probability density scale.

HeatMap

class HeatMap

Class for drawing a heat map.

HeatScatter

class HeatScatter

Creates a heat map representing the density of a 2-d probability distribution. This is useful when you want to visualize a joint probability distribution but the sample size is so large that a scatter plot would have an overwhelming number of points.

Histogram

class Histogram

A class for plotting regular (equal-width) histograms.

LineGraph

class LineGraph

Class for drawing a line graph, i.e. a set of points connected by lines.

LinearFit

class LinearFit

This class creates a best-fit line, and is useful for adding to scatter plot figures. The default line color is red instead of black and the default width is two instead of one to make the best-fit line stand out against the default scatter plot settings.

Plot

class Plot

Abstract base class for all types of plot objects.

QQPlot

class QQPlot

Plots the quantiles of a set of data on the Y axis against the theoretical qualtiles or the quantiles of another set of data on the X axis.

RocCurve

class RocCurve

Plots a ROC curve, or a curve with sensitivity on the Y-axis and 1 - specificity on the X-axis. This is a useful metric for determining how well a test statistic discriminates between two classes. The following assumptions are made in this implementation:

ScatterPlot

class ScatterPlot

Class for drawing a scatter plot.

UniqueHistogram

class UniqueHistogram

Creates a histogram in which every unique value gets its own bin. Useful for histograms where the distribution is known to be discrete over a small set of values.

Enums

HistType

enum HistType

Controls whether a histogram plots counts or probability.

OutOfBounds

enum OutOfBounds

Determine behavior for elements outside of a fixed-border histogram's bounds.

Functions

groupedBar

BarPlot[] groupedBar(R1 centers, R2 data, double width, string[] legendText = null, Color[] colors = null)

Create an array of bar plots that, when inserted into a Figure, will effectively become a grouped bar plot.

groupedBar

BarPlot[] groupedBar(R1 centers, R2 data, R3 lowerErrors, R4 upperErrors, double width, string[] legendText = null, Color[] colors = null)

Create a grouped bar plot with error bars. lowerErrors and upperErrors must either have the same dimensions as data or be empty.

hierarchicalHeatMap

HeatMap hierarchicalHeatMap(R data, string[] rowNames = null, string[] colNames = null)

Convenience function that creates a hierarchically clustered heat map and, if provided, rearranges your row and column names according to the clustering.

stackedBar

BarPlot[] stackedBar(R1 centers, R2 data, double width, string[] legendText = null, Color[] colors = null)

Create a stacked bar plot. The usage mechanics are identical to those of the no error bar overload of groupedBar().

• all
• dflwrapper
• figure
• gtkwrapper
• guiagnosticbase
• hierarchical
• plot
• png
• subplot