Package: pedometrics 0.12.1

Alessandro Samuel-Rosa

pedometrics: Miscellaneous Pedometric Tools

An R implementation of methods employed in the field of pedometrics, soil science discipline dedicated to studying the spatial, temporal, and spatio-temporal variation of soil using statistical and computational methods. The methods found here include the calibration of linear regression models using covariate selection strategies, computation of summary validation statistics for predictions, generation of summary plots, evaluation of the local quality of a geostatistical model of uncertainty, and so on. Other functions simply extend the functionalities of or facilitate the usage of functions from other packages that are commonly used for the analysis of soil data. Formerly available versions of suggested packages no longer available from CRAN can be obtained from the CRAN archive <https://cran.r-project.org/src/contrib/Archive/>.

Authors:Alessandro Samuel-Rosa [aut, cre], Lucia Helena Cunha dos Anjos [ths], Gustavo Vasques [ths], Gerard B M Heuvelink [ths], Juan Carlos Ruiz Cuetos [ctb], Maria Eugenia Polo Garcia [ctb], Pablo Garcia Rodriguez [ctb], Joshua French [ctb], Ken Kleinman [ctb], Dick Brus [ctb], Frank Harrell Jr [ctb], Ruo Xu [ctb]

pedometrics_0.12.1.tar.gz
pedometrics_0.12.1.zip(r-4.5)pedometrics_0.12.1.zip(r-4.4)pedometrics_0.12.1.zip(r-4.3)
pedometrics_0.12.1.tgz(r-4.4-x86_64)pedometrics_0.12.1.tgz(r-4.4-arm64)pedometrics_0.12.1.tgz(r-4.3-x86_64)pedometrics_0.12.1.tgz(r-4.3-arm64)
pedometrics_0.12.1.tar.gz(r-4.5-noble)pedometrics_0.12.1.tar.gz(r-4.4-noble)
pedometrics_0.12.1.tgz(r-4.4-emscripten)pedometrics_0.12.1.tgz(r-4.3-emscripten)
pedometrics.pdf |pedometrics.html
pedometrics/json (API)
NEWS

# Install 'pedometrics' in R:
install.packages('pedometrics', repos = c('https://laboratorio-de-pedometria.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/laboratorio-de-pedometria/pedometrics-package/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

analysisplotssoil

3.98 score 6 stars 32 scripts 397 downloads 47 exports 10 dependencies

Last updated 2 years agofrom:d01fb5d6fa. Checks:OK: 4 NOTE: 5. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 12 2024
R-4.5-win-x86_64NOTENov 12 2024
R-4.5-linux-x86_64NOTENov 12 2024
R-4.4-win-x86_64NOTENov 12 2024
R-4.4-mac-x86_64NOTENov 12 2024
R-4.4-mac-aarch64NOTENov 12 2024
R-4.3-win-x86_64OKNov 12 2024
R-4.3-mac-x86_64OKNov 12 2024
R-4.3-mac-aarch64OKNov 12 2024

Exports:adjR2allFactorallIntegerallNumericallNumintanyFactoranyIntegeranyNumericanyNumintbbox2spbreakPointsbuildModelSeriesbuildMScdfPlotcdfStatscdfTablecheckGMUcont2catcoordenadascramergcpDiffgcpVectorisNumintplotCorplotESDAplotHDplotHistplotModelSeriesplotMSrowMinCppskewnessstatsModelSeriesstatsMSstepVIFstratifytrend.matrixtrend.termsuniqueClassvariogramBinsvariogramGuessvgmICPvgmLagsvgmSCVwhichFactorwhichIntegerwhichNumericwhichNumint

Dependencies:deldirinterpjpeglatticelatticeExtraMASSpngRColorBrewerRcppRcppEigen

Readme and manuals

Help Manual

Help pageTopics
Pedometric Tools and Techniquespedometrics-package pedometrics
Adjusted coefficient of determinationadjR2
Create a Spatial* object from a bounding boxbbox2sp
Build a series of linear models using automated variable selectionbuildModelSeries buildMS
Evaluation of geostatistical models of uncertaintycheckGMU
Categorize/stratify numerical variable(s)breakPoints cont2cat stratify
Defunct functionscdfPlot cdfStats cdfTable coordenadas gcpDiff trend.matrix trend.terms
Association between categorical variablescramer
Calculate module and azimuthgcpVector
Tests for data typesallFactor allInteger allNumeric allNumint anyFactor anyInteger anyNumeric anyNumint isNumint uniqueClass whichFactor whichInteger whichNumeric whichNumint
Correlation plotplotCor
Plots for exploratory spatial data analysis (ESDA)plotESDA
Histogram and density plotplotHD plotHist
Model series plotplotModelSeries plotMS
Return the minimum value in each row of a numeric matrixrowMinCpp
Moment coefficient of skewnessskewness
Obtain performance statistics of a series of linear modelsstatsModelSeries statsMS
Variable selection using the (generalized) variance-inflation factor (VIF)stepVIF
Variogram binningvariogramBins vgmLags
Guess the parameters of a spatial covariance functionvariogramGuess vgmICP
Spatially correlated variance (SCV)vgmSCV vgmSCV.georob vgmSCV.variogramModel vgmSCV.variomodel