F_1_panel.qqmath {lattice} R Documentation

## Default Panel Function for qqmath

### Description

This is the default panel function for `qqmath`.

### Usage

```panel.qqmath(x, f.value = NULL,
distribution = qnorm,
qtype = 7,
groups = NULL, ...,
tails.n = 0,
identifier = "qqmath")
```

### Arguments

 `x` vector (typically numeric, coerced if not) of data values to be used in the panel. `f.value, distribution` Defines how quantiles are calculated. See `qqmath` for details. `qtype` The `type` argument to be used in `quantile` `groups` An optional grouping variable. Within each panel, one Q-Q plot is produced for every level of this grouping variable, differentiated by different graphical parameters. `...` Further arguments, often graphical parameters, eventually passed on to `panel.xyplot`. Arguments `grid` and `abline` of `panel.xyplot` may be particularly useful. `tails.n` number of data points to represent exactly on each tail of the distribution. This reproduces the effect of `f.value = NULL` for the extreme data values, while approximating the remaining data. It has no effect if `f.value = NULL`. If `tails.n` is given, `qtype` is forced to be 1. `identifier` A character string that is prepended to the names of grobs that are created by this panel function.

### Details

Creates a Q-Q plot of the data and the theoretical distribution given by `distribution`. Note that most of the arguments controlling the display can be supplied directly to the high-level `qqmath` call.

### Author(s)

Deepayan Sarkar Deepayan.Sarkar@R-project.org

`qqmath`

### Examples

```set.seed(0)
xx <- rt(10000, df = 10)
qqmath(~ xx, pch = "+", distribution = qnorm,
grid = TRUE, abline = c(0, 1),
xlab.top = c("raw", "ppoints(100)", "tails.n = 50"),
panel = function(..., f.value) {
switch(panel.number(),
panel.qqmath(..., f.value = NULL),
panel.qqmath(..., f.value = ppoints(100)),
panel.qqmath(..., f.value = ppoints(100), tails.n = 50))
}, layout = c(3, 1))[c(1,1,1)]
```

[Package lattice version 0.20-41 Index]