README.md

In daria71sukhova/teberda.tools: Teberda grasslands Estimation and Visualisation Tools

teberda.tools

Utilities for exploratory analysis of the dynamics of the number of species in the mountain meadows of Teberda: - linear trends - autocorrelations - correlations between the number of generative shoots of the previous year and the number of vegetative shoots of the current year and vice versa - correlations between all species - correlations of the number of shoots and the wether conditions of the previous year - some visualisations

Getting started

You may download the .zip file with the package and install from your local machin or you can install it directly from GitHub.

Installation

To install package from local source file (.zip archive) you should do:

install.packages("path/to/your/source/file", repos = NULL, type = "source")

Example:

install.packages("~/Downloads/teberda.tools.zip", repos = NULL, type = "source")

To install the package from GitHub directly you should have devtools package installed and loaded first:

install.packages("devtools")
library(devtools)

Then you should use the command install_github:

install_github("daria71sukhova/teberda.tools")

Use the package

As you always do, load the package in order to start using it:

library(teberda.tools)

Several commands are now available to you:

ltrend gives you the table with species which show significant linear trends

autocorrelations gives you the table with species which have significant values of autocorrelatons

speccor gives the correlation matrix with significant values

vggvprinextcorr gives the table with the species which have significant correlations between number of generative shoots of the previous year and number of vegetative shoots of the current year and vise versa

get_tidy_data gives the wide tidy dataframe with years in the first column and number of shoots of the species in the rest

Look into help pages for the detailes.

daria71sukhova/teberda.tools documentation built on May 15, 2021, 10:20 p.m.