# qqplot

From distr v2.3.1
by Peter Ruckdeschel

##### Methods for Function qqplot in Package `distr'

We generalize function `qqplot`

from package `qqplot`

produces a QQ plot of two distributions, i.e.; argument `x`

is the distribution to be checked for compatibility, and `y`

is the
model ($H_0$-)distribution.
Graphical parameters may be given as arguments to `qqplot`

.
The `x=ANY,y=ANY`

.

- Keywords
- hplot, distribution

##### Usage

```
qqplot(x, y, ...)
## S3 method for class 'UnivariateDistribution,UnivariateDistribution':
qqplot(x, y,
n = 30, withIdLine = TRUE, withConf = TRUE,
withConf.pw = withConf, withConf.sim = withConf,
plot.it = TRUE, xlab = deparse(substitute(x)),
ylab = deparse(substitute(y)), ...,
width = 10, height = 5.5, withSweave = getdistrOption("withSweave"),
mfColRow = TRUE, n.CI = n, col.IdL = "red", lty.IdL = 2, lwd.IdL = 2,
alpha.CI = .95, exact.pCI = (n
```

##### Arguments

- x
- object of class
`"ANY"`

(stats -method) or of code`"UnivariateDistribution"`

; to be compared to`y`

. - y
- object of class
`"ANY"`

(stats -method) or of class`"UnivariateDistribution"`

. - n
- numeric; number of quantiles at which to do the comparison.
- withIdLine
- logical; shall line
`y = x`

be plotted in? - withConf
- logical; shall confidence lines be plotted?
- withConf.pw
- logical; shall pointwise confidence lines be plotted?
- withConf.sim
- logical; shall simultaneous confidence lines be plotted?
- plot.it
- logical; shall be plotted at all (inherited from
`qqplot`

)? - xlab
- x-label
- ylab
- y-label
- ...
- further parameters for function
`plot`

- width
- width (in inches) of the graphics device opened
- height
- height (in inches) of the graphics device opened
- withSweave
- logical: if
`TRUE`

(for working withSweave) no extra device is opened and height/width are not set - mfColRow
- shall default partition in panels be used --- defaults to
`TRUE`

- n.CI
- numeric; number of points to be used for confidence interval
- col.IdL
- color for the identity line
- lty.IdL
- line type for the identity line
- lwd.IdL
- line width for the identity line
- alpha.CI
- confidence level
- exact.pCI
- logical; shall pointwise CIs be determined with exact Binomial distribution?
- exact.sCI
- logical; shall simultaneous CIs be determined with exact kolmogorov distribution?
- nosym.pCI
- logical; shall we use (shortest) asymmetric CIs?
- col.pCI
- color for the pointwise CI
- lty.pCI
- line type for the pointwise CI
- lwd.pCI
- line width for the pointwise CI
- pch.pCI
- symbol for points (for discrete mass points) in pointwise CI
- cex.pCI
- magnification factor for points (for discrete mass points) in pointwise CI
- col.sCI
- color for the simultaneous CI
- lty.sCI
- line type for the simultaneous CI
- lwd.sCI
- line width for the simultaneous CI
- pch.sCI
- symbol for points (for discrete mass points) in simultaneous CI
- cex.sCI
- magnification factor for points (for discrete mass points) in simultaneous CI
- cex.pch
- magnification factor for the plotted symbols
- col.pch
- color for the plotted symbols
- jit.fac
- jittering factor used for discrete distributions
- check.NotInSupport
- logical; shall we check if all
`x`

-quantiles lie in`support(y)`

? - col.NotInSupport
- logical; if preceding check
`TRUE`

color of`x`

-quantiles if not in`support(y)`

- with.legend
- logical; shall a legend be plotted?
- legend.bg
- background color for the legend
- legend.pos
- position for the legend
- legend.cex
- magnification factor for the legend
- legend.pref
- character to be prepended to legend text
- legend.postf
- character to be appended to legend text
- legend.alpha
- nominal coverage probability

##### Details

[object Object],[object Object]

##### Value

##### References

Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988)
*The New S Language*.
Wadsworth & Brooks/Cole.

##### See Also

`qqplot`

from package `qqbounds`

, used by `qqplot`

to produce confidence
intervals.

##### Examples

```
qqplot(Norm(15,sqrt(30)), Chisq(df=15))
## some discrete Distributions:
P <- Pois(5)
B <- Binom(size=2000,prob=5/2000)
qqplot(B,P)
qqplot(B,P, nosym.pCI=TRUE)
## some Lebesgue-Decomposed distributions:
mylist <- UnivarLebDecDistribution(discretePart=Binom(3,.3), acPart=Norm(2,2),
acWeight=11/20)
mylist2 <- mylist+0.1
qqplot(mylist,mylist2)
qqplot(mylist,mylist2,exact.pCI=FALSE,exact.sCI=FALSE)
qqplot(mylist,mylist2,nosym.pCI=TRUE)
## some ac. distribution with a gap
mylist3 <- UnivarMixingDistribution(Unif(0,0.3),Unif(0.6,1),mixCoeff=c(0.8,0.2))
gaps(mylist3)
mylist4 <- UnivarMixingDistribution(Unif(0,0.3),Unif(0.6,1),mixCoeff=c(0.6,0.4))
qqplot(mylist3,mylist4)
qqplot(mylist3,mylist4,nosym.pCI=TRUE)
```

*Documentation reproduced from package distr, version 2.3.1, License: LGPL-3*

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