R: Statistics generator

statgen {binhf} | R Documentation

## Statistics generator

### Description

This function generates useful simulation statistics for NN and Anscombe transforms.

### Usage

    statgen(valuelist, xgrid = seq(0, 1, length = 21), ygrid = seq(0, 1, length = 21),
    binsize = 32, plot.m = FALSE, plot.v = FALSE, plot.ks = FALSE, ptype = "persp")

### Arguments

`valuelist` | a two component list as produced by afgen.
`xgrid` | a vector of x coordinate binomial proportions.
`ygrid` | a vector of x coordinate binomial proportions.
`binsize` | binomial size to use in simulations.
`plot.m` | A boolean variable, indicating whether mean simulation plots should be outputted.
`plot.v` | A boolean variable, indicating whether variance simulation plots should be outputted.
`plot.ks` | A boolean variable, indicating whether Kolmogorov-Smirnov simulation plots should be outputted.
`ptype` | where appropriate, the type of plots to be produced. Possible values are "persp" for 3D persective plots or "contour" for corresponding contour plots.

### Details

The function does several sample variance plots, Kolmogorov-Smirnov and mean plots for the data in the variable valuelist (for both Anscombe and binomial Haar-Fisz transforms).

### Value

`afm` | matrix of sample mean values for binomial Haar-Fisz samples.
`anm` | matrix of sample mean values for Anscombe samples.
`afv` | matrix of sample variance values for binomial Haar-Fisz samples.
`anv` | matrix of sample variance values for Anscombe samples.
`afk` | matrix of Kolmogorov-Smirnof statistics for binomial Haar-Fisz samples.
`ank` | matrix of Kolmogorov-Smirnof statistics for Anscombe samples.

### Author(s)

Matt Nunes (m.nunes@ucl.ac.uk)

### See Also

`afgen`

### Examples

    a<-afgen(xgrid = seq(0, 1, length = 21), ygrid = seq(0, 1, length = 21),
    samples = 1000, binsize = 32)

    b<-statgen(a,xgrid=seq(0,1,length=21),ygrid=seq(0,1,length=21),binsize=32,plot.m=FALSE,
    plot.v=TRUE,plot.ks=FALSE,ptype="persp")

[Package binhf version 1.0-1 Index]