PlotQQ

the quantile function of the assumed distribution as text or as function.

qdist

optional arguments to be passed to the quantile function

the main title for the plot. This will be "Q-Q-Plot" by default

main

xlab

ylab

Create a QQ-plot for a variable which is not normally distributed. 
The assumed underlying distribution can freely be defined.

hplot

univar

DescTools contains a bunch of basic statistic functions and convenience wrappers for efficiently describing data, creating specific plots, doing reports using MS Word, Excel or PowerPoint. The package's intention is to offer a toolbox, which facilitates the (notoriously time consuming) first descriptive tasks in data analysis, consisting of calculating descriptive statistics, drawing graphical summaries and reporting the results. Many of the included functions can be found scattered in other packages and other sources written partly by Titans of R. The reason for collecting them here, was primarily to have them consolidated in ONE instead of dozens of packages (which themselves might depend on other packages which are not needed at all), and to provide a common and consistent interface as far as function and arguments naming, NA handling, recycling rules etc. are concerned. Google style guides were used as naming rules (in absence of convincing alternatives). The 'camel style' was consequently applied to functions borrowed from contributed R packages as well.

PlotQQ: QQ-Plot for Optional Distributions

Description

Usage

Arguments

Details

References

See Also

Examples