papaya
Class CorrelationPlot
java.lang.Object
papaya.Visuals
papaya.CorrelationPlot
- All Implemented Interfaces:
- PapayaConstants
public class CorrelationPlot
- extends Visuals
Takes in a matrix and plots the data in each of the columns versus
each other. Each of the columns are normalized to their minimum and maximum values which
can be a little misleading. For example, say you are looking at columns specifying the weight
of different panda bears over 100 days.
Panda bear A (Ling-Ling)'s weight varies from 650 to 970 pounds
(she's an emotional eater), while panda bear B (Thomas)'s weight varies from 512 to 516 pounds
(he's not a big fan of bamboo; also kind of metrosexual). The correlation plot will not show you
this difference in magnitudes or ranges!
There are many ways of addressing that, and all of them involve you writing your
own code. :)
If you absolutely insist on using this despite the warning above, then the (somewhat messy) hack
around it is to pad each column of your data with 2 additional rows containing the
minimum and maximum that you want to abide by. Just make sure it doesn't muck everything
else up though!
Fields inherited from interface papaya.PapayaConstants |
BASELINE, big, biginv, BOTTOM, CENTER, CORNER, FONTNAME, GRAY, INDEX_NOT_FOUND, INDICES_NOT_FOUND, LEFT, LOGPI, MACHEP, MAXGAM, MAXLOG, MINLOG, RIGHT, SQRTH, SQTPI, STROKEWEIGHT, TEXTSIZE, TOP |
Constructor Summary |
CorrelationPlot(PApplet _theParent,
float _plotLeft,
float _plotTop,
float _plotWidth,
float _plotHeight)
Setup the plot dimensions |
Method Summary |
void |
drawBorderAndLabels(String[] categories,
int bgColor)
Draw the bordering lines and write the labels. |
void |
drawPlot(float[][] data,
int pos,
int fColor)
Plots the scatter plot of each of the columns of the input data matrix vs. |
Methods inherited from class papaya.Visuals |
drawAxes, drawRect, drawRect, getBottom, getHeight, getLeft, getRight, getTop, getWidth, horizLine, legendHoriz, legendVert, line, mapXData, mapXData, mapYData, mapYData, setBackgroundColor, setHeight, setLeft, setTop, setupFont, setupFont, setWidth, vertLine, writeLabels, writeLabels, writeLabels, writeLabels, writeLabels, writeTitle, xLabels, xLabels, xTicks, yLabels, yLabels, YLines, yTicks |
CorrelationPlot
public CorrelationPlot(PApplet _theParent,
float _plotLeft,
float _plotTop,
float _plotWidth,
float _plotHeight)
- Setup the plot dimensions
drawPlot
public void drawPlot(float[][] data,
int pos,
int fColor)
- Plots the scatter plot of each of the columns of the input data matrix vs. the
other columns. Each of the columns are normalized to their minimum and maximum values which
can be a little misleading. For example, say you are looking at columns specifying the weight
of different panda bears over 100 days.
Panda bear A (Ling-Ling)'s weight varies from 450 to 670 pounds
(she's an emotional eater), while panda bear B (Thomas)'s weight varies from 512 to 516 pounds
(he's not a big fan of bamboo). The correlation plot will not show you this difference
since both could follow the same sort of distribution.
There are many ways of addressing that, and all of them involve you writing your
own code. :)
If you absolutely insist on using this despite the warning above, then the (very messy) hack
around it is to pad each column of your data with 2 additional rows containing the
minimum and maximum that you want to abide by. Just make sure it doesn't muck everything
else up though!
- Parameters:
data
- the data array with each column corresponding to a datasetpos
- 0 for top right plots, 1 for bottom left plotsfColor
- the fill color for the dots on the plot.
drawBorderAndLabels
public void drawBorderAndLabels(String[] categories,
int bgColor)
- Draw the bordering lines and write the labels.
- Parameters:
categories
- the labels along the diagonalbgColor
- background rectangle color
Processing library papaya by
Adila Faruk. (C) 2014