29.9.39 CDF Plot

CDF Plot 01.png

Data Requirements

Select at least one column to create Empirical CDF plot and/or Theoretical CDF plot.

Select multiple data and group column to compare cumulative distribution of different data/groups.

Creating the Graph

Select required data.

From the menu, select Plot > Statistical: CDF Plot to open the plot_cdf dialog.

CDF Plot 02.png

Dialog Controls

Data Range Select input data column(s).
Group Select grouping column(s).
Distribution Specify the distribution type to calculate the cumulative distribution probability. Here, four distribution types are supported: Normal, Lognormal, Weibull, Exponential and Gamma.
  • Estimate from Data: Estimate the parameter value from the input data. Uncheck it to enter the parameter values under this check box for each distribution function.
Plot Choose which CDF plot you want to plot, empirical CDF, theoretical CDF or both of them.
  • Use Common X Range: Unchecked by default. Checking it to find min and max of x for all plots, if x range is small for a plot, add min or max at the end of plot.
  • Y Scale Type: Percent (default, 0-100) and Probability (0-1)
Graph Arrangement Choose how to arrange the plots. Use the option Multiple Data and Multiple Groups, the plots will be arranged in these four ways:
  • Overlay All: Both Multple Data and Multiple Group select Overlap on Same Graph.
  • Overlay Groups, Variables in Different Layers: Multple Data=Separate Layer, Multiple Groups=Overlap on Same Graph
  • Overlay Variables, Groups in Different Layers: Multiple Groups=Separate Layer, Multple Data=Overlap on Same Graph
  • Different Layers: Both Multple Data and Multiple Groups select Separate Layer
Output Plot Data Specify which sheet the plot data is output to.
Output Graphs Specify which sheet the result graphs is output to.

Template

CDF.OTPU(installed to the Origin program folder).

Notes

CDF plot, fully-named as cumulative distribution function plot, is used to examine the distribution of a sample data. It shows the empirical and/or theoretical cumulative distribution function of the data. You are allowed to decide how to arrange multiple source data and their groups. And the distribution information values(mu, sigma and N) for each groups of each data will be output to the result graph(s) automatically.

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