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fsdaR (version 0.7-0)

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

0.7-0

License

GPL (>= 3)

Maintainer

Valentin Todorov

Last Published

May 11th, 2022

Functions in fsdaR (0.7-0)

M5data

Mixture M5 Data.
X

Simulated data X.
carbikeplot

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

Creates an FSR_control object
FSReda_control

Creates an FSReda_control object
MMreg_control

Creates an MMreg_control object
Sreg_control

Creates an Sreg_control object
LXS_control

Creates an LSX_control object
MMregeda_control

Creates an MMregeda_control object
diabetes

Diabetes data
Sregeda_control

Creates an Sregeda_control object
fsdalts.object

Description of fsdalts Objects
fsdalms.object

Description of fsdalms Objects
hawkins

Hawkins data.
fsrfan

Robust transformations for regression
flea

Flea
geyser2

Old Faithful Geyser Data.
covplot

Monitoring of the covariance matrix
emilia2001

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

Fishery data.
corfwdplot

Monitoring the correlations between consecutive distances or residuals
fsrfan.object

Objects returned by the function fsrfan
fsreda.object

Description of fsreda Objects
fsr.object

Description of fsr Objects
smult.object

Description of smult.object Objects
levfwdplot

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

Description of fsmult.object Objects
fsmeda.object

Description of fsmeda.object Objects
swissbanknotes

Swiss banknote data
smulteda.object

Description of smulteda.object Objects
malfwdplot

Plots the trajectories of scaled Mahalanobis distances along the search
loyalty

Loyalty data
summary.fsdalts

Summary Method for fsdalts objects
mmreg.object

Description of mmreg Objects
fsreg

fsreg: an automatic outlier detection procedure in linear regression
mmdrsplot

Plots the trajectories of minimum Mahalanobis distances from different starting points
mmregeda.object

Description of mmregeda Objects
mmmult

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

Summary Method for fsdalms objects
smult

Computes S estimators in multivariate analysis
malindexplot

Plots the trajectory of minimum Mahalanobis distance (mmd)
resindexplot

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

Description of sregeda Objects
tclustic.object

Objects returned by the function tclustIC
summary.fsr

Summary Method for FSR objects
regspmplot

Interactive scatterplot matrix for regression
mmmult.object

Description of mmmult.object Objects
tclustregIC

Computes tclustreg for different number of groups k and restriction factors c.
z1

z1
tclustICsol

Extracts a set of best relevant solutions obtained by tclustIC
wool

Wool data.
swissheads

Swiss heads data
resfwdplot

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

Computes robust linear grouping analysis
tclusteda.object

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

Performs random start monitoring of minimum Mahalanobis distance
mmmulteda.object

Description of mmmulteda.object Objects
spmplot

Interactive scatterplot matrix
fsmmmdrs.object

Description of fsmmmdrs.object Objects
sreg.object

Description of sreg Objects
fsmult

Gives an automatic outlier detection procedure in multivariate analysis
mmdplot

Plots the trajectory of minimum Mahalanobis distance (mmd)
mussels

Mussels data.
tclusticsol.object

Objects returned by the function tclustICsol
tclustreg.object

Objects returned by the function tclustreg
tclustIC

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

Plots the trajectory of minimum deletion residual (mdr)
poison

Poison
tclustICplot

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

Objects returned by the function tclustfsda
tclustfsda

Computes trimmed clustering with scatter restrictions