# qqstuff

##### Quantile-quantile information about Haar-NN and Anscombe samples

A function to generate Q-Q plots (from simulations) for the Anscombe and (binomial) Haar-Fisz transforms.

- Keywords
- datagen

##### Usage

```
qqstuff(intensity, binsize = 4, paths = 100, respaths = 1000, plot.q = FALSE,
plot.sq = FALSE)
```

##### Arguments

- intensity
an Bernoulli intensity vector, e.g.

`pintens`

.- binsize
a binomial size to generate a binomial mean vector.

- paths
the number of paths sampled from the mean vector to use in Q-Q calculations.

- respaths
the number of residual paths to use in squared residual calculations.

- plot.q
A boolean variable, indicating whether simulation Q-Q plots should be outputted or not.

- plot.sq
A boolean variable, indicating whether simulation squared residual plots should be outputted or not.

##### Details

`respaths`

paths are sampled from the mean intensity vector. From these, the first `paths`

are used to generate Q-Q data, which are then averaged for the Q-Q plots. The original paths are used to calculate a squared residual vector corresponding to the mean intensity vector.

##### Value

qqinfo. A 8 component list of quantile and residual plot information.

A matrix of dimensions respathsxlength(intensity), each row being a path from the intensity vector.

A matrix of dimensions respathsxlength(intensity), each row an Anscombe-transformed path.

A matrix of dimensions respathsxlength(intensity), each row a binomial Haar-Fisz-transformed path.

A matrix of the difference between the paths and the mean intensity.

A matrix of the difference between the Anscombe-transformed paths and the mean intensity.

A matrix of the difference between the binomial Haar-Fisz-transformed paths and the mean intensity.

vector of squared residuals of Anscombe-transformed paths.

vector of squared residuals of binomial Haar-Fisz-transformed paths.

##### Note

This function requires the package wavethresh. N.B. Since this function returns a lot of information, assign the output to a variable, to avoid printing endless information in the console.

##### See Also

##### Examples

```
# NOT RUN {
data(pintens)
a<-qqstuff(intensity=pintens,binsize=4,paths=100,respaths=100,plot.q=TRUE,plot.sq=TRUE)
#plots some interesting graphs.
# }
```

*Documentation reproduced from package binhf, version 1.0-3, License: GPL (>= 2)*