R: Robust Data Analysis Through Monitoring and Dynamic Visualization

# Robust Data Analysis Through Monitoring and Dynamic Visualization

## Documentation for package ‘fsdaR’ version 0.9-0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

B C D E F G H I L M P R S T W X Z

## -- B --

bank_data | 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 | Diabetes data

## -- E --

emilia2001 | 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 --

geyser2 | 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 --

z1 | z1