Robust Data Analysis Through Monitoring and Dynamic Visualization

Documentation for package ‘fsdaR’ version 0.9-0

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-- B --

Bank data (Riani et al., 2014).

-- C --

carbikeplot	Produces the carbike plot to find best relevant clustering solutions obtained by 'tclustICsol'
corfwdplot	Monitoring the correlations between consecutive distances or residuals
covplot	Monitoring of the covariance matrix

-- D --

Diabetes data

-- E --

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

-- F --

fishery	Fishery data.
flea	Flea
forbes	Forbes' data on air pressure in the Alps and the boiling point of water (Weisberg, 1985).
fsdalms.object	Description of 'fsdalms' Objects
fsdalts.object	Description of 'fsdalts' Objects
fsmeda.object	Description of 'fsmeda.object' Objects
fsmmmdrs	Performs random start monitoring of minimum Mahalanobis distance
fsmmmdrs.object	Description of 'fsmmmdrs.object' Objects
fsmult	Gives an automatic outlier detection procedure in multivariate analysis
fsmult.object	Description of 'fsmult.object' Objects
fsr.object	Description of 'fsr' Objects
fsrbase	fsrbase: an automatic outlier detection procedure in linear regression
fsrbase.default	fsrbase: an automatic outlier detection procedure in linear regression
fsrbase.formula	fsrbase: an automatic outlier detection procedure in linear regression
fsreda.object	Description of 'fsreda' Objects
FSReda_control	Creates an 'FSReda_control' object
fsreg	fsreg: an automatic outlier detection procedure in linear regression
fsreg.default	fsreg: an automatic outlier detection procedure in linear regression
fsreg.formula	fsreg: an automatic outlier detection procedure in linear regression
fsrfan	Robust transformations for regression
fsrfan.default	Robust transformations for regression
fsrfan.formula	Robust transformations for regression
fsrfan.object	Objects returned by the function 'fsrfan'
FSR_control	Creates an 'FSR_control' object

-- G --

Old Faithful Geyser Data.

-- H --

hawkins	Hawkins data.
hospital	Hospital data (Neter et al., 1996)

-- I --

Income1	Income1
Income2	Income2

-- L --

levfwdplot	Plots the trajectories of the monitored scaled (squared) residuals
loyalty	Loyalty data
LXS_control	Creates an 'LSX_control' object

-- M --

M5data	Mixture M5 Data.
malfwdplot	Plots the trajectories of scaled Mahalanobis distances along the search
malindexplot	Plots the trajectory of minimum Mahalanobis distance (mmd)
mdrplot	Plots the trajectory of minimum deletion residual (mdr)
mmdplot	Plots the trajectory of minimum Mahalanobis distance (mmd)
mmdrsplot	Plots the trajectories of minimum Mahalanobis distances from different starting points
mmmult	Computes MM estimators in multivariate analysis with auxiliary S-scale
mmmult.object	Description of 'mmmult.object' Objects
mmmulteda.object	Description of 'mmmulteda.object' Objects
mmreg.object	Description of mmreg Objects
mmregeda.object	Description of 'mmregeda' Objects
MMregeda_control	Creates an 'MMregeda_control' object
MMreg_control	Creates an 'MMreg_control' object
multiple_regression	Multiple regression data showing the effect of masking (Atkinson and Riani, 2000).
mussels	Mussels data.
myrng	Set seed for the MATLAB random number generator

-- P --

plot.fsrfan	Robust transformations for regression
poison	Poison
print.fsdalms	fsreg: an automatic outlier detection procedure in linear regression
print.fsdalts	fsreg: an automatic outlier detection procedure in linear regression
print.fsr	fsreg: an automatic outlier detection procedure in linear regression
print.fsreda	fsreg: an automatic outlier detection procedure in linear regression
print.mmreg	fsreg: an automatic outlier detection procedure in linear regression
print.mmregeda	fsreg: an automatic outlier detection procedure in linear regression
print.sreg	fsreg: an automatic outlier detection procedure in linear regression
print.sregeda	fsreg: an automatic outlier detection procedure in linear regression
print.summary.fsdalms	Summary Method for 'fsdalms' objects
print.summary.fsdalts	Summary Method for 'fsdalts' objects
print.summary.fsr	Summary Method for FSR objects
psifun	Finds the tuning constant(s) associated to the supplied breakdown point or asymptotic efficiency for different psi functions

-- R --

regspmplot	Interactive scatterplot matrix for regression
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

-- S --

score	Computes the score test for transformation in regression
score.default	Computes the score test for transformation in regression
score.formula	Computes the score test for transformation in regression
score.object	Objects returned by the function 'score'
smult	Computes S estimators in multivariate analysis
smult.object	Description of 'smult.object' Objects
smulteda.object	Description of 'smulteda.object' Objects
spmplot	Interactive scatterplot matrix
sreg.object	Description of sreg Objects
sregeda.object	Description of 'sregeda' Objects
Sregeda_control	Creates an 'Sregeda_control' object
Sreg_control	Creates an 'Sreg_control' object
summary.fsdalms	Summary Method for 'fsdalms' objects
summary.fsdalts	Summary Method for 'fsdalts' objects
summary.fsr	Summary Method for FSR objects
swissbanknotes	Swiss banknote data
swissheads	Swiss heads data

-- T --

tclusteda.object	Objects returned by the function 'tclustfsda' with the option 'monitoring=TRUE'
tclustfsda	Computes trimmed clustering with scatter restrictions
tclustfsda.object	Objects returned by the function 'tclustfsda'
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'
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'
tclusticsol.object	Objects returned by the function 'tclustICsol'
tclustreg	Computes robust linear grouping analysis
tclustreg.object	Objects returned by the function 'tclustreg'
tclustregIC	Computes 'tclustreg' for different number of groups 'k' and restriction factors 'c'.

-- W --

wool	Wool data.

-- X --

X	Simulated data X.

-- Z --