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fsdaR (version 0.8-1)

Robust Data Analysis Through Monitoring and Dynamic Visualization

Description

Provides interface to the 'MATLAB' toolbox 'Flexible Statistical Data Analysis (FSDA)' which is comprehensive and computationally efficient software package for robust statistics in regression, multivariate and categorical data analysis. The current R version implements tools for regression: (forward search, S- and MM-estimation, least trimmed squares (LTS) and least median of squares (LMS)), for multivariate analysis (forward search, S- and MM-estimation), for cluster analysis and cluster-wise regression. The distinctive feature of our package is the possibility of monitoring the statistics of interest as a function of breakdown point, efficiency or subset size, depending on the estimator. This is accompanied by a rich set of graphical features, such as dynamic brushing, linking, particularly useful for exploratory data analysis.

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Install

install.packages('fsdaR')

Monthly Downloads

290

Version

0.8-1

License

GPL (>= 3)

Issues

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Stars

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Maintainer

Valentin Todorov

Last Published

March 9th, 2023

Functions in fsdaR (0.8-1)

emilia2001

Demographic data from the 341 miniciplaities in Emilia Romagna (an Italian region).
Income1

Income1
fishery

Fishery data.
Income2

Income2
fsmult

Gives an automatic outlier detection procedure in multivariate analysis
fsmmmdrs.object

Description of fsmmmdrs.object Objects
fsmult.object

Description of fsmult.object Objects
carbikeplot

Produces the carbike plot to find best relevant clustering solutions obtained by tclustICsol
fsr.object

Description of fsr Objects
corfwdplot

Monitoring the correlations between consecutive distances or residuals
malfwdplot

Plots the trajectories of scaled Mahalanobis distances along the search
LXS_control

Creates an LSX_control object
malindexplot

Plots the trajectory of minimum Mahalanobis distance (mmd)
fsrbase

fsrbase: an automatic outlier detection procedure in linear regression
flea

Flea
M5data

Mixture M5 Data.
fsreda.object

Description of fsreda Objects
forbes

Forbes' data on air pressure in the Alps and the boiling point of water (Weisberg, 1985).
fsreg

fsreg: an automatic outlier detection procedure in linear regression
levfwdplot

Plots the trajectories of the monitored scaled (squared) residuals
mmmult.object

Description of mmmult.object Objects
loyalty

Loyalty data
fsrfan

Robust transformations for regression
mmmulteda.object

Description of mmmulteda.object Objects
Sreg_control

Creates an Sreg_control object
multiple_regression

Multiple regression data showing the effect of masking (Atkinson and Riani, 2000).
Sregeda_control

Creates an Sregeda_control object
X

Simulated data X.
myrng

Set seed for the MATLAB random number generator
FSR_control

Creates an FSR_control object
mussels

Mussels data.
poison

Poison
bank_data

Bank data (Riani et al., 2014).
smult

Computes S estimators in multivariate analysis
summary.fsdalms

Summary Method for fsdalms objects
mmreg.object

Description of mmreg Objects
mmregeda.object

Description of mmregeda Objects
psifun

Finds the tuning constant(s) associated to the supplied breakdown point or asymptotic efficiency for different psi functions
summary.fsr

Summary Method for FSR objects
smult.object

Description of smult.object Objects
tclusticsol.object

Objects returned by the function tclustICsol
fsdalts.object

Description of fsdalts Objects
tclustreg

Computes robust linear grouping analysis
fsdalms.object

Description of fsdalms Objects
swissheads

Swiss heads data
regspmplot

Interactive scatterplot matrix for regression
tclustfsda.object

Objects returned by the function tclustfsda
summary.fsdalts

Summary Method for fsdalts objects
tclustIC

Performs cluster analysis by calling tclustfsda for different number of groups k and restriction factors c
tclustic.object

Objects returned by the function tclustIC
FSReda_control

Creates an FSReda_control object
fsrfan.object

Objects returned by the function fsrfan
geyser2

Old Faithful Geyser Data.
wool

Wool data.
swissbanknotes

Swiss banknote data
covplot

Monitoring of the covariance matrix
diabetes

Diabetes data
tclustICplot

Plots information criterion as a function of c and k, based on the solutions obtained by tclustIC
tclustICsol

Extracts a set of best relevant solutions obtained by tclustIC
z1

z1
mmdrsplot

Plots the trajectories of minimum Mahalanobis distances from different starting points
mmmult

Computes MM estimators in multivariate analysis with auxiliary S-scale
resfwdplot

Plots the trajectories of the monitored scaled (squared) residuals
resindexplot

Plots the residuals from a regression analysis versus index number or any other variable
smulteda.object

Description of smulteda.object Objects
fsmeda.object

Description of fsmeda.object Objects
fsmmmdrs

Performs random start monitoring of minimum Mahalanobis distance
hawkins

Hawkins data.
spmplot

Interactive scatterplot matrix
tclustreg.object

Objects returned by the function tclustreg
hospital

Hospital data (Neter et al., 1996)
mdrplot

Plots the trajectory of minimum deletion residual (mdr)
tclustregIC

Computes tclustreg for different number of groups k and restriction factors c.
score

Computes the score test for transformation in regression
mmdplot

Plots the trajectory of minimum Mahalanobis distance (mmd)
score.object

Objects returned by the function score
sreg.object

Description of sreg Objects
sregeda.object

Description of sregeda Objects
tclusteda.object

Objects returned by the function tclustfsda with the option monitoring=TRUE
tclustfsda

Computes trimmed clustering with scatter restrictions
MMregeda_control

Creates an MMregeda_control object
MMreg_control

Creates an MMreg_control object