Canvas

the xlims and ylims for the plot. Default is c(-1, 1).

xlim, ylim

expand drawing area, defaults to <code>par("xpd")</code>.

set margins. Defaults to c(5.1,5.1,5.1,5.1).

numeric, giving the aspect ratio y/x. (See <code><a href="/link/plot.window?package=DescTools&version=0.99.8.1" rd-options="" data-mini-rdoc="DescTools::plot.window">plot.window</a></code> for details. Default is 1.

the background color of the plot, defaults to par("bg"), which usually will be "white".

additional arguments are passed to the <code>plot()</code> command.

This is just a wrapper for creating an empty plot with suitable defaults for plotting geometric shapes.

hplot

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.

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Canvas: Canvas for Geometric Plotting

Description

Usage

Arguments

Details

Examples