Robust Data Analysis Through Monitoring and Dynamic Visualization
Description of smulteda.object Objects
Interactive scatterplot matrix
Description of sreg Objects
Creates an Sreg_control object
Description of sregeda Objects
Creates an Sregeda_control object
Summary Method for FSR objects
Produces the carbike plot to find best relevant clustering solutions o...
Monitoring the correlations between consecutive distances or residuals
Monitoring of the covariance matrix
Description of fsdalms Objects
Description of fsdalts Objects
Description of fsmeda.object Objects
Description of fsmmmdrs.object Objects
Performs random start monitoring of minimum Mahalanobis distance
Description of fsmult.object Objects
Gives an automatic outlier detection procedure in multivariate analysi...
Description of fsr Objects
Creates an FSR_control object
fsrbase: an automatic outlier detection procedure in linear regression
Description of fsreda Objects
Creates an FSReda_control object
fsreg: an automatic outlier detection procedure in linear regression
Objects returned by the function fsrfan
Robust transformations for regression
Plots the trajectories of the monitored scaled (squared) residuals
Creates an LSX_control object
Plots the trajectories of scaled Mahalanobis distances along the searc...
Plots the trajectory of minimum Mahalanobis distance (mmd)
Plots the trajectory of minimum deletion residual (mdr)
Plots the trajectory of minimum Mahalanobis distance (mmd)
Plots the trajectories of minimum Mahalanobis distances from different...
Description of mmmult.object Objects
Computes MM estimators in multivariate analysis with auxiliary S-scale
Description of mmmulteda.object Objects
Description of mmreg Objects
Creates an MMreg_control object
Description of mmregeda Objects
Creates an MMregeda_control object
Set seed for the MATLAB random number generator
Finds the tuning constant(s) associated to the supplied breakdown poin...
Interactive scatterplot matrix for regression
Plots the trajectories of the monitored scaled (squared) residuals
Plots the residuals from a regression analysis versus index number or ...
Objects returned by the function score
Computes the score test for transformation in regression
Description of smult.object Objects
Computes S estimators in multivariate analysis
Summary Method for fsdalms objects
Summary Method for fsdalts objects
Objects returned by the function tclustfsda with the option `monitor...
Objects returned by the function tclustfsda
Computes trimmed clustering with scatter restrictions
Objects returned by the function tclustIC
Performs cluster analysis by calling tclustfsda for different number...
Plots information criterion as a function of c and k, based on the...
Objects returned by the function tclustICsol
Extracts a set of best relevant solutions obtained by tclustIC
Objects returned by the function tclustreg
Computes robust linear grouping analysis
Computes tclustreg for different number of groups kand restriction...
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.