Package: StatDA 1.7.11
StatDA: Statistical Analysis for Environmental Data
Statistical analysis methods for environmental data are implemented. There is a particular focus on robust methods, and on methods for compositional data. In addition, larger data sets from geochemistry are provided. The statistical methods are described in Reimann, Filzmoser, Garrett, Dutter (2008, ISBN:978-0-470-98581-6).
Authors:
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StatDA/json (API)
# Install 'StatDA' in R: |
install.packages('StatDA', repos = c('https://filzmoserp.r-universe.dev', 'https://cloud.r-project.org')) |
- AuNEW - Au data, new
- AuOLD - Au data, old
- CHorANADUP - Analytical duplicates of the C-horizon Kola data
- CHorFieldDUP - Field duplicates of the C-horizon Kola data
- CHorSTANDARD - Standard reference material for the Kola data
- bhorizon - B-horizon of the Kola Data
- bordersKola - Borders of the Kola Project boundary
- chorizon - C-horizon of the Kola Data
- kola.background - Kola.background
- monch - Boundary of the Monchegorsk area
- moss - Moss layer of the Kola Data
- nizap - Boundary of the area Nikel-Zapoljarnij
- ohorizon - O-horizon of the Kola Data
- res.eyefit.As_C - Result of the function eyefit for variogram estimation.
- res.eyefit.As_C_m - Result of the function eyefit for variogram estimation.
- res.eyefit.AuNEW - Result of the function eyefit for variogram estimation.
- res.eyefit.Ca_C - Result of the function eyefit for variogram estimation.
- res.eyefit.Ca_O - Result of the function eyefit for variogram estimation.
- res.eyefit.Hg_O - Result of the function eyefit for variogram estimation.
- res.eyefit.Pb_O1 - Result of the function eyefit for variogram estimation.
- res.eyefit.Pb_O2 - Result of the function eyefit for variogram estimation.
- timetrend - Data for computing time trends
- topsoil - Topsoil layer of the Kola Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:828bc95cda. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 29 2024 |
R-4.5-win | OK | Oct 29 2024 |
R-4.5-linux | OK | Oct 29 2024 |
R-4.4-win | OK | Oct 29 2024 |
R-4.4-mac | OK | Oct 29 2024 |
R-4.3-win | OK | Oct 29 2024 |
R-4.3-mac | OK | Oct 29 2024 |
Exports:.check.borders.geoR_inoutarbit.sizearbit.symbolarwboxesboxplotlegendboxplotlogboxplotpercboxplotperc.statsbubbleFINcirclesconcareaconcareaExampleKolacor.signCorCompareCorGroupsdo.ellipsesEDA.sizeEDA.symbolEDAacc.sizeEDAacc.symbolEDAacc2.sizeEDAacc2.symbolEDAacc3.sizeEDAacc3.symbolEDAext.sizeEDAext.symboledaplotedaplotlogfactanal.fit.principalGSC.sizeGSC.symbolKrigeLegendloadplotmonchNortharrowpfaplotbgplotelementplotellipseplotmvoutlierplotunioutpolygridpolysppplot.dasprint.corsignqpplot.dasqqplot.dasrg.boxplotrg.mvarg.mvallocrg.remove.narg.robmvarg.wtdsumsRobCor.plotroundprettyroundpretty.subscalebarscatter3dPETERSmoothLegendsunsSymbLegendternaryvarcomp
Dependencies:base64encBHbslibcachemclasscliclusterDEoptimRdigeste1071evaluatefastmapfontawesomefsgeoRgluehighrhtmltoolshtmlwidgetsjquerylibjsonliteknitrlatticelifecyclemagrittrMASSMatrixMBAmemoisemgcvmimenlmeproxyR6rappdirsrglrlangrmarkdownrobustbasesasssgeostatspsplancstinytexxfunxtableyaml