Lexiguel

A mingle-mangle of functions for R, most of them related to publications done by the maintainer. Thus would you like to implement some plots or analyses done in one of my publications? Then, Lexiguel is the proper place to exchange requests and answers.

Thanks to Kerstin, my girlfriend, for naming this package.

You may have previously installed the R-package devtools. Then execute following commands in your R-session:

library(devtools)
install_github("kamapu/Lexiguel")

The function sloss calculates the cumulative species number and area from the smallest to the largest unit and vice versa (Quinn & Harrison 1988). A plot method is available for the respective output objects.

## Load gaps from the Robinson Crusoe Island
library(Lexiguel)
data(rc_gaps)
data(rc_gaps.env)

## Calculation of curves
rc_curves <- sloss(rc_gaps, rc_gaps.env, area)

## Plot the curves
plot(rc_curves, show.legend=TRUE)

The functions shadowplot and stringplot are alternatives to boxplot and violin.plot for categorical (ordinal) variables. Such plots shows the relative frequency of single classes among sampling units, as in the case of WET-health scores (Beuel et al. 2016).

## Example in shadowplot help
library(Lexiguel)
data(WHscores)

shadowplot(WET_veg ~ Landuse, WHscores, start=0, end=10,
        col=c("orangered","palegreen","orange","lightblue"))
stringplot(WET_veg ~ Landuse, WHscores, lwd=3, at=1)