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fsdaR (version 0.9-0)

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

255

Version

0.9-0

License

GPL (>= 3)

Issues

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Maintainer

Valentin Todorov

Last Published

December 6th, 2023

Functions in fsdaR (0.9-0)

FSR_control

Creates an FSR_control object
FSReda_control

Creates an FSReda_control object
carbikeplot

Produces the carbike plot to find best relevant clustering solutions obtained by tclustICsol
corfwdplot

Monitoring the correlations between consecutive distances or residuals
flea

Flea
forbes

Forbes' data on air pressure in the Alps and the boiling point of water (Weisberg, 1985).
Income1

Income1
LXS_control

Creates an LSX_control object
fsdalms.object

Description of fsdalms Objects
M5data

Mixture M5 Data.
fsdalts.object

Description of fsdalts Objects
MMreg_control

Creates an MMreg_control object
covplot

Monitoring of the covariance matrix
fsmult.object

Description of fsmult.object Objects
diabetes

Diabetes data
fsmeda.object

Description of fsmeda.object Objects
MMregeda_control

Creates an MMregeda_control object
emilia2001

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

Description of fsr Objects
fishery

Fishery data.
hawkins

Hawkins data.
fsreg

fsreg: an automatic outlier detection procedure in linear regression
fsrfan

Robust transformations for regression
fsmmmdrs.object

Description of fsmmmdrs.object Objects
Income2

Income2
hospital

Hospital data (Neter et al., 1996)
fsmmmdrs

Performs random start monitoring of minimum Mahalanobis distance
fsmult

Gives an automatic outlier detection procedure in multivariate analysis
multiple_regression

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

Description of mmreg Objects
fsrfan.object

Objects returned by the function fsrfan
geyser2

Old Faithful Geyser Data.
mdrplot

Plots the trajectory of minimum deletion residual (mdr)
mmdplot

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

Description of mmregeda Objects
smult

Computes S estimators in multivariate analysis
mussels

Mussels data.
psifun

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

Simulated data X.
regspmplot

Interactive scatterplot matrix for regression
bank_data

Bank data (Riani et al., 2014).
smulteda.object

Description of smulteda.object Objects
spmplot

Interactive scatterplot matrix
tclustfsda.object

Objects returned by the function tclustfsda
tclustic.object

Objects returned by the function tclustIC
smult.object

Description of smult.object Objects
score

Computes the score test for transformation in regression
fsrbase

fsrbase: an automatic outlier detection procedure in linear regression
score.object

Objects returned by the function score
levfwdplot

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

Loyalty data
mmmult.object

Description of mmmult.object Objects
fsreda.object

Description of fsreda Objects
summary.fsdalts

Summary Method for fsdalts objects
malfwdplot

Plots the trajectories of scaled Mahalanobis distances along the search
malindexplot

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

Description of mmmulteda.object Objects
swissheads

Swiss heads data
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
swissbanknotes

Swiss banknote data
tclusteda.object

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

Plots the trajectories of minimum Mahalanobis distances from different starting points
summary.fsr

Summary Method for FSR objects
mmmult

Computes MM estimators in multivariate analysis with auxiliary S-scale
summary.fsdalms

Summary Method for fsdalms objects
tclustIC

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

Computes trimmed clustering with scatter restrictions
myrng

Set seed for the MATLAB random number generator
poison

Poison
tclustICplot

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

Wool data.
tclustreg.object

Objects returned by the function tclustreg
z1

z1
sreg.object

Description of sreg Objects
sregeda.object

Description of sregeda Objects
tclusticsol.object

Objects returned by the function tclustICsol
tclustreg

Computes robust linear grouping analysis
tclustregIC

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

Extracts a set of best relevant solutions obtained by tclustIC
Sreg_control

Creates an Sreg_control object
Sregeda_control

Creates an Sregeda_control object