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fsdaR (version 0.8-0)

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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Version

Install

install.packages('fsdaR')

Monthly Downloads

293

Version

0.8-0

License

GPL (>= 3)

Maintainer

Valentin Todorov

Last Published

August 11th, 2022

Functions in fsdaR (0.8-0)

LXS_control

Creates an LSX_control object
Income1

Income1
MMreg_control

Creates an MMreg_control object
FSR_control

Creates an FSR_control object
Sreg_control

Creates an Sreg_control object
Sregeda_control

Creates an Sregeda_control object
FSReda_control

Creates an FSReda_control object
M5data

Mixture M5 Data.
Income2

Income2
MMregeda_control

Creates an MMregeda_control object
carbikeplot

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

Monitoring of the covariance matrix
emilia2001

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

Simulated data X.
bank_data

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

Monitoring the correlations between consecutive distances or residuals
diabetes

Diabetes data
fsmult

Gives an automatic outlier detection procedure in multivariate analysis
fsmmmdrs

Performs random start monitoring of minimum Mahalanobis distance
fsmmmdrs.object

Description of fsmmmdrs.object Objects
forbes

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

Flea
fsmeda.object

Description of fsmeda.object Objects
fsdalts.object

Description of fsdalts Objects
fsdalms.object

Description of fsdalms Objects
fishery

Fishery data.
fsmult.object

Description of fsmult.object Objects
fsr.object

Description of fsr Objects
loyalty

Loyalty data
malfwdplot

Plots the trajectories of scaled Mahalanobis distances along the search
hawkins

Hawkins data.
geyser2

Old Faithful Geyser Data.
mussels

Mussels data.
fsrfan

Robust transformations for regression
poison

Poison
fsrfan.object

Objects returned by the function fsrfan
mmmult

Computes MM estimators in multivariate analysis with auxiliary S-scale
fsreda.object

Description of fsreda Objects
malindexplot

Plots the trajectory of minimum Mahalanobis distance (mmd)
fsreg

fsreg: an automatic outlier detection procedure in linear regression
hospital

Hospital data (Neter et al., 1996)
mmdplot

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

Description of mmmult.object Objects
mmmulteda.object

Description of mmmulteda.object Objects
levfwdplot

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

Plots the trajectory of minimum deletion residual (mdr)
mmreg.object

Description of mmreg Objects
spmplot

Interactive scatterplot matrix
mmregeda.object

Description of mmregeda Objects
multiple_regression

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

Plots the residuals from a regression analysis versus index number or any other variable
score

Computes the score test for transformation in regression
smulteda.object

Description of smulteda.object Objects
smult.object

Description of smult.object Objects
tclustICsol

Extracts a set of best relevant solutions obtained by tclustIC
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
sregeda.object

Description of sregeda Objects
summary.fsr

Summary Method for FSR objects
tclustICplot

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

Description of sreg Objects
tclustIC

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

Computes S estimators in multivariate analysis
score.object

Objects returned by the function score
tclustregIC

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

Wool data.
tclustfsda.object

Objects returned by the function tclustfsda
tclustfsda

Computes trimmed clustering with scatter restrictions
z1

z1
summary.fsdalts

Summary Method for fsdalts objects
tclustic.object

Objects returned by the function tclustIC
summary.fsdalms

Summary Method for fsdalms objects
tclusticsol.object

Objects returned by the function tclustICsol
resfwdplot

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

Interactive scatterplot matrix for regression
swissheads

Swiss heads data
swissbanknotes

Swiss banknote data
tclustreg

Computes robust linear grouping analysis
tclustreg.object

Objects returned by the function tclustreg