Object Reference : Object View and Procedure Reference : Vector
  
 
distdata
Save a matrix containing distribution plot data computed from the vector.
Saves the data used to display a histogram, kernel density, theoretical distribution, empirical CDF or survivor plot, or quantile plot to the workfile.
Syntax
vector_name.distdata(dtype=dist_type, dist_options) matrix_name
saves the distribution plot data specified by dist_type, where dist_type must be one of the following keywords:
 
hist
Histogram (default).
freqpoly
Histogram Polygon.
edgefreqpoly
Histogram Edge Polygon.
ash
Average Shifted Histogram.
kernel
Kernel density
theory
Theoretical distribution.
cdf
Empirical cumulative distribution function.
survivor
Empirical survivor function.
logsurvivor
Empirical log survivor function.
quantile
Empirical quantile function.
theoryqq
Theoretical quantile-quantile plot.
Options
The theoretical quantile-quantile plot type “theoryqq” takes the options described in qqplot under “Theoretical Options”.
For the remaining types, dist_options are any of the distribution type-specific options described in distplot.
Note that the graph display specific options such as “fill,” “nofill,” and “leg,” and “noline” are not relevant for this procedure.
You may use the “prompt” option to force the dialog display
 
prompt
Force the dialog to appear from within a program.
Examples
rvec1.distdata(dtype=hist, anchor=0, scale=dens, rightclosed) matrix01
creates the data used to draw a histogram from the vector VEC1 with the anchor at 0, density scaling, and right-closed intervals, and stores that data in a matrix called MATRIX01 in the workfile.
vec1.distdata(dtype=kernel, k=b, ngrid=50, b=.5) matrix02
generates the kernel density data computed with a biweight kernel at 50 grid points, using a bandwidth of 0.5 and linear binning, and stores that data in MATRIX02.
vec1.distdata(dtype=theoryqq, q=o, dist=logit, p1=.5) matrix03
creates theoretical quantile-quantile data from VEC1 using the ordinary quantile method to calculate quantiles. The theoretical distribution is the logit distribution, with the location parameter set to 0.5. The data is saved into the matrix MATRIX03.
Cross-references
For a description of distribution graphs and quantile-quantile graphs, see “Analytical Graph Types”.
See also distplot and qqplot.