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pedometrics (version 0.1-9)

Pedometric Tools and Techniques

Description

This package contains functions to employ many tools and techniques used in the field of pedometrics (see http://en.wikipedia.org/wiki/Pedometrics for definition of pedometrics). These functions were developed to fulfill the demands created by the PhD research project (2012-2016) entitled Contribution to the Construction of Models for Predicting Soil Properties, developed by Alessandro Samuel-Rosa under the supervision of Dr Lucia HC Anjos (Federal Rural University of Rio de Janeiro, Brazil), Dr Gustavo M Vasques (Embrapa Soils, Brazil), and Dr Gerard BM Heuvelink (ISRIC - World Soil Information, the Netherlands). The project is supported by the CAPES Foundation, Ministry of Education of Brazil, Brasilia - DF 70040-020, Brazil, process ID BEX 11677/13-9. Several functions are simple wrapper functions that extend the functionalities of other functions commonly used for the analysis of pedometric data. It should be noted that changes are likely to occur quite often and using this package as a dependency for other packages is strongly discouraged.

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Version

Install

install.packages('pedometrics')

Monthly Downloads

203

Version

0.1-9

License

GPL (>= 2)

Maintainer

Alessandro SamuelRosa

Last Published

August 8th, 2014

Functions in pedometrics (0.1-9)

gcpDiff

Diffence on xyz coordinates between ground control points
cdfPlot

Plot estimated cumulative distribution function with confidence limits
cdfTable

Table with descriptive statistics of an estimated cummulative distribution function
pedometrics-package

Pedometric Tools and Techniques
plotMS

Model series plot
adjR2

Adjusted coefficient of determination
gcpVector

Calculate module and azimuth
coordenadas

Prepare object for argument design of spsurvey.analysis()
cdfStats

Descriptive statistics of the cumulative distribution function of a continuos variable
statsMS

Obtain performance statistics of a series of linear models
stepVIF

Variable selection using the variance-inflation factor
buildMS

Build a series of linear models using automated variable selection