| 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
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")