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StatDA (version 1.7.11)

Statistical Analysis for Environmental Data

Description

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).

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Version

Install

install.packages('StatDA')

Monthly Downloads

416

Version

1.7.11

License

GPL (>= 3)

Maintainer

Peter Filzmoser

Last Published

June 2nd, 2023

Functions in StatDA (1.7.11)

CorGroups

Correlation Matrix for Sub-groups
Northarrow

Northarrow
KrigeLegend

Krige
CHorANADUP

Analytical duplicates of the C-horizon Kola data
RobCor.plot

Compares the Robust Estimation with the Classical
CHorSTANDARD

Standard reference material for the Kola data
AuNEW

Au data, new
AuOLD

Au data, old
CHorFieldDUP

Field duplicates of the C-horizon Kola data
boxes

Boxes
SmoothLegend

Plots Smoothing Maps and a Legend
StatDA-internal

Internal StatDA objects
arw

Adaptive reweighted estimator for multivariate location and scatter
SymbLegend

Plot Legend
bhorizon

B-horizon of the Kola Data
bordersKola

Borders of the Kola Project boundary
CorCompare

Compares Correlation Matrices
boxplotlog

Boxplotlog
boxplotperc

Boxplot based on percentiles
concareaExampleKola

Concentration Area Plot for Kola data example
concarea

Plot Concentration Area
bubbleFIN

Bubbleplot due to Finnish method
do.ellipses

Plot Ellipses
edaplot

EDA-plot for data
boxplotlegend

Boxplotlegend
chorizon

C-horizon of the Kola Data
cor.sign

Correlation Matrix
edaplotlog

Edaplot for logtransformed data
plotellipse

Plot Ellipse
ohorizon

O-horizon of the Kola Data
pfa

Principal Factor Analysis
moss

Moss layer of the Kola Data
kola.background

kola.background
nizap

Boundary of the area Nikel-Zapoljarnij
factanal.fit.principal

Fit a Factor Analysis
res.eyefit.AuNEW

Result of the function eyefit for variogram estimation.
res.eyefit.Ca_C

Result of the function eyefit for variogram estimation.
plotuniout

Multivariate outlier plot for each dimension
rg.mva

Non-robust Multivariate Data Analysis
plotmvoutlier

Multivariate outlier plot
rg.mvalloc

Robust Multivariate Allocation Procedure
loadplot

Plot the Loadings of a FA
monch

Boundary of the Monchegorsk area
rg.remove.na

Remove NA
rg.boxplot

Plot a Boxplot
qpplot.das

QP plot
varcomp

Variance Components
polygrid

Coordinates of Points Inside a Polygon
suns

Plot Suns
ternary

Ternary plot
qqplot.das

QQ plot
rg.robmva

Robust Multivariate Analysis
plotbg

Kola background Plot
polys

Connect the Values with a Polygon
ppplot.das

PP plot
scalebar

Scalebar
res.eyefit.Pb_O1

Result of the function eyefit for variogram estimation.
rg.wtdsums

Calculate Weighted Sums for a Matrix
plotelement

Plot Elements of a Discriminant Analysis
res.eyefit.Pb_O2

Result of the function eyefit for variogram estimation.
roundpretty

Roundpretty
res.eyefit.As_C

Result of the function eyefit for variogram estimation.
roundpretty.sub

Subfunction for Roundpretty
scatter3dPETER

3D plot of a Regression Model
res.eyefit.Hg_O

Result of the function eyefit for variogram estimation.
res.eyefit.Ca_O

Result of the function eyefit for variogram estimation.
res.eyefit.As_C_m

Result of the function eyefit for variogram estimation.
timetrend

Data for computing time trends
topsoil

topsoil layer of the Kola Data