addt  Produces the t test for an additional explanatory variable 
estregimeTAR  Estimate a regression model with OLS in one of the regimes of a TAR model 
forecastTS  Forecast for a time series with trend, time varying seasonal, level shift and irregular component 
FSR  Computes forward search estimator in linear regression 
FSRBbsb  Returns the units belonging to the subset in each step of the Bayesian forward search 
FSRbsb  Returns the units belonging to the subset in each step of the forward search 
FSReda  Enables to monitor several quantities in each step of the forward search 
FSRenvmdr  Computes the theoretical envelopes of Minimum Deletion Residual outside subset during the search 
FSRinvmdr  Converts values of mdr into confidence levels and mdr in normal coordinates 
FSRmdr  Computes minimum deletion residual and other basic linear regression quantities in each step of the search 
FSRr  Forward search in linear regression reweighted 
FSRts  Is an automatic adaptive procedure to detect outliers in time series 
FSRtsbsb  Returns the units belonging to the subset in each step of the forward search 
FSRtsmdr  Computes minimum deletion residual for time series models in each step of the search 
LTSts  Extends LTS estimator to time series 
LTStsLSmult  Extends LTSts to the detection of multiple Level Shifts in time series 
LTStsVarSel  Does variable selection in the robust time series model LTSts 
LXS  Computes the Least Median of Squares (LMS) or Least Trimmed Squares (LTS) estimators 
mdpdR  Allows to apply Minimum Density Power Divergence criterion to parametric regression problems 
mdpdReda  Allows to monitor Minimum Density Power Divergence criterion to parametric regression problems 
MMreg  Computes MM estimator of regression coefficients 
MMregcore  Computes MM regression estimators for a selected fixed scale 
MMregeda  Computes MM estimator in linear regression for a series of values of efficiency 
regressts  Computes estimates of regression parameters for a time series models 
RobCov  Computes covariance matrix of robust regression coefficients 
RobRegrSize  Provides proper threshold for robust estimators to obtain an empirical size close to 1 per cent nominal size 
SETARX  Implements Threshold autoregressive models with two regimes 
simulateLM  Simulates linear regression data with prespecified values of statistical indexes 
simulateTS  Simulates a time series with trend, time varying seasonal, level shift and irregular component 
Sreg  Computes S estimators in linear regression 
Sregeda  Computes S estimators in linear regression for a series of values of bdp 
Taureg  Computes Tau estimators in linear regression 
tBothSides  Allows users to transform both sides of a (nonlinear) regression model 
VIOM  Computes weights estimates under VarianceInflation Model 
ace  Computes alternative conditional expectation 
avas  Computes additivity and variance stabilization for regression 
avasms  Computes avas using a series of alternative options 
boxcoxR  Finds MLE of lambda in linear regression (and confidence interval) using Box Cox, YJ or extended YJ transformation 
FSRfan  Monitors the values of the score test statistic for each lambda 
rlsmo  Computes a runninglines smoother with global crossvalidation 
Score  Computes the score test for transformation 
ScoreYJ  Computes the score test for Yeo and Johnson transformation 
ScoreYJall  Computes all the 4 score tests for YJ transformation 
ScoreYJmle  Computes the likelihood ratio test fof H_0=lambdaP=lambdaP0 and lambdaN=lambdaN0 
ScoreYJpn  Computes the score test for YJ transformation for pos and neg observations 
smothr  Produces smoothed values with constraints 
supsmu  Smooths scatterplots using Friedman's supersmoother algorithm 
FSRB  Gives an automatic outlier detection procedure in Bayesian linear regression 
FSRBeda  Enables to monitor several quantities in each step of the Bayesian search 
FSRBmdr  Computes minimum deletion residual and other basic linear regression quantities in each step of the Bayesian search 
FSRBr  Bayesian forward search in linear regression reweighted 
regressB  Computes Bayesian estimates of regression parameters 
forecastH  Produce forecasts with confidence bands for regression model with heteroskedasticity 
FSRH  Gives an automatic outlier detection procedure in heteroskedastic linear regression 
FSRHbsb  Returns the units belonging to the subset in each step of the heteroskedastic forward search 
FSRHeda  Enables to monitor several quantities in each step of the forward search 
FSRHmdr  Computes minimum deletion residual and other basic linear regression quantities in each step of the heteroskedastic search 
regressH  Fits a multiple linear regression model with heteroskedasticity 
regressHart  Fits a multiple linear regression model using ART heteroskedasticity 
regressHhar  Fits a multiple linear regression model with Harvey heteroskedasticity 
boxtest  Performs Box test of equality of covariance matrices 
FSCorAna  Performs automatic outlier based on the forward search in correspondence analysis 
FSCorAnaeda  Performs forward search in correspondence analysis with exploratory data analysis purposes 
FSCorAnaenv  Computes the empirical envelopes of Min MD outside subset and inertia explained during the search 
FSM  Computes forward search estimator in multivariate analysis 
FSMbsb  Gives the units belonging to subset at step(s) msel of the forward search 
FSMeda  Performs forward search in multivariate analysis with exploratory data analysis purposes 
FSMedaeasy  Is exactly equal to FSMeda but it is much less efficient 
FSMenvmmd  Computes the theoretical envelopes of Minimum MD outside subset during the search 
FSMinvmmd  Converts values of minimum Mahalanobis distance into confidence levels 
FSMmmd  Monitors minMD 
FSMmmdeasy  Is exactly equal to FSMmmd but it is much less efficient 
mcd  Computes Minimum Covariance Determinant 
mcdCorAna  Computes Minimum Covariance Determinant in correspondence analysis 
mcdeda  Monitors Minimum Covariance Determinant for a series of values of bdp 
MMmult  Computes MM estimators in multivariate analysis with auxiliary Sscale 
MMmultcore  Computes multivariate MM estimators for a selected fixed scale 
MMmulteda  Computes MM estimators in multivariate analysis for a series of values of eff 
mve  Computes Minimum volume ellipsoid 
mveeda  Monitors Minimum volume ellipsoid for a series of values of bdp 
pcaFS  Performs Principal Component Analysis (PCA) on raw data 
SDest  Computes StahelDonoho robust estimator of dispersionlocation 
Smult  Computes S estimators in multivariate analysis 
Smulteda  Computes S estimators in multivariate analysis for a series of values of bdp 
unibiv  Has the purpose of detecting univariate and bivariate outliers 
barnardtest  Barnard's unconditional test 
CorAna  Performs correspondence analysis 
corrNominal  Measures strength of association between two unordered (nominal) categorical variables 
corrOrdinal  Measures strength of association between two ordered categorical variables 
CressieRead  Computes the power divergence family 
crosstab2datamatrix  Recreates the original data matrix X from contingency table N 
rcontFS  Generates a random twoway table with given marginal totals 
SparseTableTest  Computes independence test for large and sparse contingency tables 
MixSim  Generates k clusters in v dimensions with given overlap 
MixSimreg  Generates k regression hyperplanes in p dimensions with given overlap 
overlap  Computes the exact overlap given the parameters of the mixture 
simdataset  Simulates andor contaminates a dataset given the parameters of a finite mixture model with Gaussian components 
simdatasetreg  Simulates a regression dataset given the parameters of a mixture regression model 
FSRmdrrs  Performs random start monitoring of minimum deletion residual 
lga  Performs linear grouping analysis 
mdrrsplot  Plots the trajectory of minimum deletion residual from random starts 
rlga  Performs robust linear grouping analysis 
tclustreg  Performs robust linear grouping analysis 
tclustregeda  Performs robust linear grouping analysis for a series of values of the trimming factor 
tclustregIC  Computes tclustreg for different number of groups k and restriction factors c 
ctlcurves  Computes Classification Trimmed Likelihood Curves 
dempk  Performs a merging of components found by tkmeans 
FSMmmdrs  Performs random start monitoring of minimum Mahalanobis distance 
genSigmaGPCM  Generates covariance matrix for the 14 Gaussian Parsimonious Clustering Models 
GowerIndex  Computes matrix of similarity indexes using Gower metric 
overlapmap  Produces an interactive overlap map 
restrdeter  Computes determinant restriction 
restrdeterGPCM  Applies determinat restrictions for the 14 GPCM 
restreigen  Computes eigenvalues restriction (without Dykstra algorithm) 
restreigeneasy  Computes eigenvalues restriction (without Dykstra algorithm) 
restreigenmemopt  Computes eigenvalues restriction (without Dykstra algorithm) 
restrshapeExact  Computes constrained Gamma (shape) matrix with exact constraints 
restrshapeGPCM  Produces the restricted shape matrix for the 14 GPCM 
restrSigmaGPCM  Computes constrained covariance matrices for the 14 GPCM specifications 
tclust  Computes trimmed clustering with scatter restrictions 
tclusteda  Computes tclust for a series of values of the trimming factor 
tclustIC  Computes tclust for different number of groups k and restriction factors c 
tclustICgpcm  Computes tclust for different number of groups k and restr. factors $c_{det}$ and $c_{shw}$ 
tclustICsol  Extracts a set of best relevant solutions 
tclustICsolGPCM  Extracts a set of best relevant solutions from 3D array computed using function tclustICgpcm 
tkmeans  Computes trimmed kmeans 
txmerge  Performs a (hierarchical) merging of the inflated number of components found by tkmeans or tclust 
aceplot  Produces the aceplot to visualize the results of ace 
add2yX  Adds objects (personalized clickable multilegends and text labels) to the yXplot 
avasmsplot  Produces the augmented star plot and enables interactivity 
barVariableWidth  Produces a bar plot with different widths and colors for each bar 
cdsplot  Produces the candlestick plot for robust model selection in linear regression 
fanBIC  Uses the output of FSRfan to choose the best value of the transformation parameter in linear regression 
fanBICpn  Uses the output of FSRfan called with input option family 'YJpn' to choose la_P and la_N 
fanplot  OLD FUNCTION (this function is replaced by fanplotFS and it is not updated anylonger) 
fanplotFS  Plots the fan plot for transformation in linear regression or deletion t stat 
histFS  Plots a histogram with the elements in each bin grouped according to a vector of labels 
levfwdplot  Plots the trajectories of leverage along the search 
mdrplot  Plots the trajectory of minimum deletion residual (mdr) 
qqplotFS  Creates qqplot of studentized residuals with envelopes 
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 
wedgeplot  Generates the double wedge plot of a time series 
yXplot  Produces an interactive scatterplot of y against each variable of X in the input dataset 
add2boxplot  Adds labels to the boxplot figure 
add2spm  Adds objects (personalized clickable multilegends and text labels) to the scatter plot matrix 
balloonplot  Creates a balloon plot of a contingency table 
biplotFS  Calls biplotAPP.mlapp to show a dynamic biplot 
boxplotb  Computes a bivariate boxplot 
CorAnaplot  Draws the Correspondence Analysis (CA) graphs with confidence ellipses 
covplot  Plots the trajectories of the elements of the covariance (correlation) matrix monitored 
funnelchart  Displays a funnel chart 
malfwdplot  Plots the trajectories of scaled Mahalanobis distances along the search 
malindexplot  Plots the Mahalanobis distances for each row of the input data matrix 
mmdplot  Plots the trajectory of minimum Mahalanobis distance (mmd) 
mmdrsplot  Plots the trajectories of minimum Mahalanobis distances from different starting points 
moonplot  Draws the Correspondence Analysis (CA) moonplot 
scatterboxplot  Creates scatter diagram with marginal boxplots 
spmplot  Produces an interactive scatterplot matrix with boxplots or histograms on the main diagonal and possibly robust bivariate contours 
waterfallchart  Creates a waterfall chart 
carbikeplot  Produces the carbike plot to find best relevant clustering solutions 
carbikeplotGPCM  Produces the carbike plot to find best relevant clustering solutions 
ctlcurvesplot  Plots the output of routine ctlcurves 
tclustICplot  Plots information criterion as a function of c and k 
tclustICplotGPCM  Plots information criterion as a function of $c_{det}$, $c_{shw}$, $c_{shb}$ and $k$ 
corrcdf  Computes correlation coefficient probability distribution function 
corrpdf  Computes correlation coefficient probability density function 
FNChygecdf  Returns Fisher noncentral hypergeometric cumulative distribution function 
FNChygeinv  Computes the inverse of the Fisher non central hypergeometric cumulative distribution function (cdf) 
FNChygepdf  Returns Fisher noncentral hypergeometric probability density function 
FNChygernd  Random arrays from the Fisher non central hypergeometric distribution 
inversegamcdf  Computes inversegamma cumulative distribution function 
inversegaminv  Computes the inverse of the inversegamma cumulative distribution function 
inversegampdf  Computes inversegamma probability density function 
logmvnpdfFS  Produces log of Multivariate normal probability density function (pdf) 
mFNChygepdf  Returns Fisher multivariate noncentral hypergeometric probability density function 
mFNChygernd  Returns Fisher multivariate noncentral hypergeometric random variate generation 
mtR  Generates the same random numbers produced by R software with Mersenne Twister mt19937ar 
mWNChygepdf  Returns Wallenius' multivariate noncentral hypergeometric probability density function 
mWNChygernd  Returns random arrays from the Wallenius non central hypergeometric distribution 
ncx2mixtcdf  Computes cumulative distribution function of a linear combination of noncentral chisquare +N(0,s) 
twdcdf  Computes the cumulative distribution function of the Tweedie distribution 
twdpdf  Computes the probability density function of the Tweedie distribution 
twdrnd  Generates random variates from the Tweedie distribution 
vervaatrnd  Simulates random variates from the Vervaat perpetuity distribution 
vervaatsim  Returns a Vervaat perpetuity 
vervaatxdf  Returns the pdf and cdf of a Vervaat perpetuity 
WNChygecdf  Returns Wallenius' noncentral hypergeometric cumulative distribution function 
WNChygeinv  Computes the inverse of the Wallenius non central hypergeometric cumulative distribution function (cdf) 
WNChygepdf  Returns Wallenius' noncentral hypergeometric probability density function 
WNChygernd  Random arrays from the Wallenius non central hypergeometric distribution 
FE_int_vol  Computes the integrated variance from a diffusion process via the Fourier estimator using Dirichlet kernel 
FE_int_vol_Fejer  Computes the integrated variance from a diffusion process via the Fourier estimator using Fejer kernel 
FE_spot_vol  Estimates the instantaneous variance of a diffusion process by the Fourier estimator with Dirichlet kernel 
FE_spot_vol_FFT  Estimates the instantaneous variance of a diffusion process by the Fourier estimator with Dirichlet kernel, using the FFT algorithm 
FM_int_cov  Computes the integrated covariance of a bivariate diffusion process via the FourierMalliavin estimator 
FM_int_lev  Computes the integrated leverage of a diffusion process via the FourierMalliavin estimator 
FM_int_quart  Computes the integrated quarticity of a diffusion process via the FourierMalliavin estimator 
FM_int_vol  Computes the integrated variance of a diffusion process via the FourierMalliavin estimator 
FM_int_volvol  Computes the integrated volatility of volatility of a diffusion process via the FourierMalliavin estimator 
FM_spot_cov  Computes the spot covariance of a bivariate diffusion process via the FourierMalliavin estimator 
FM_spot_lev  Computes the spot leverage of a diffusion process via the FourierMalliavin estimator 
FM_spot_quart  Computes the spot quarticity of a diffusion process via the FourierMalliavin estimator 
FM_spot_vol  Computes the spot volatility of a diffusion process via the FourierMalliavin estimator 
FM_spot_volvol  Computes the spot volatiity of volatility of a diffusion process via the FourierMalliavin estimator 
Heston1D  Simulates observations and instantaneous variances from the Heston model 
Heston2D  Simulates observations and instantaneous variances from the bivariate Heston model 
OptimalCuttingFrequency  Computes the optimal cutting frequency for the Fourier estimator of integrated variance 
brushFAN  Displays a GUI which enables brushing in the fanplot 
brushRES  Displays a GUI which enables brushing in resfwdplot 
brushROB  Displays a GUI which enables brushing in resindexplot 
GUIautocorr  Shows the necessary calculations to obtain the autocorrelation in a GUI 
GUIconcentration  Shows the necessary calculations to obtain the GINI concentration index in a GUI 
GUIcorr  Shows the necessary calculations to obtain the correlation in a GUI 
GUIcov  Shows the necessary calculations to obtain the covariance in a GUI 
GUImad  Shows the necessary calculations to obtain MAD, S_M or S_Me in a GUI 
GUIpowermean  Shows the necessary calculations to obtain the power (generalized) mean in a GUI 
GUIquantile  Shows the necessary calculations to obtain $x_z$ quantile 
GUIregress  Shows the necessary calculations to obtain simple linear regression statistics in a GUI 
GUIskewness  Shows the necessary calculations to obtain the variance in a GUI 
GUIstd  Shows the necessary calculations to obtain the standard deviation in a GUI 
GUItrimmean  Shows the necessary calculations to obtain the trimmed mean in a GUI 
GUIvar  Shows the necessary calculations to obtain the variance in a GUI 
quickselectFS_demo  Illustrates the functioning of quickselectFS 
quickselectFSw_demo  Illustrates the functioning of quickselectFSw 
ASbdp  Finds the constant c associated to the supplied breakdown point for Andrew's sine function 
ASc  Computes breakdown point and efficiency associated with constant c for Andrew's rho function 
ASeff  Finds the constant c which is associated to the requested efficiency for Andrew's sine function 
ASpsi  Computes psi function (derivative of rho function) for Andrew's sine function 
ASpsider  Computes derivative of psi function (second derivative of rho function) for Andrew's sine function 
ASpsix  Computes psi function (derivative of rho function) times x for Andrew's sine function 
ASrho  Computes rho function for Andrew's sine function 
ASwei  Computes weight function psi(u)/u for Andrew's sine function 
basicPower  Computes the basic power transformation 
bwe  Estimates the bandwidth smoothing parameter for kernel density estimation 
CEVmodel  Computes price and instantaneous variance processes from the CEV model 
ClusterRelabel  Enables to control the labels of the clusters which contain predefined units 
ctsub  Computes numerical integration from x(1) to z(i) of y=f(x) 
distribspec  Plots a probability density function between specification limits 
ellipse  Generates an ellipse given mu (location vector) and Sigma (scatter matrix) 
exactcdf  Finds exact pvalues 
FowlkesMallowsIndex  Computes the Fowlkes and Mallows index 
FSMbonfbound  Computes Bonferroni bounds for each step of the search (in mult analysis) 
FSRbonfbound  Computes Bonferroni bounds for each step of the search (in linear regression) 
genr8next  Genr8 returns a vector of pseudorandom number sequence 
GYfilt  Computes the GerviniYohai univariate outlier identifier 
HAbdp  Finds the constant c associated to the supplied breakdown point 
HAc  Computes breakdown point and efficiency associated with constant c 
HAeff  Finds the tuning constant that guarrantees a requested asymptotic efficiency 
HApsi  Computes psi function using Hampel proposal 
HApsider  Computes derivative of psi function using Hampel proposal 
HApsix  Computes psi function using Hampel proposal times x 
HArho  Computes rho function using Hampel proposal 
HAwei  Computes weight function psi(u)/u using Hampel proposal 
HUc  Computes breakdown point and efficiency associated with constant c for Huber link 
HUeff  Finds the constant c which is associated to the requested efficiency for Tukey biweight estimator 
HUpsi  Computes psi function (derivative of rho function) for Huber 
HUpsider  Computes derivative of psi function (second derivative of rho function) for Huber 
HUpsix  Computes psi function (derivative of rho function) times x for Huber 
HUrho  Computes rho function for Huber 
HUwei  Computes weight function psi(u)/u for Huber 
HYPbdp  Finds constant c which is associated to the requested breakdown point for hyp. tan. estimator 
HYPc  Computes breakdown point and efficiency associated with constant chyperbolic tangent estimator (for a given value of k=sup CVC) 
HYPck  Computes values of the scalars A, B, d for hyperbolic tangent estimator 
HYPeff  Finds constant c which is associated to the requested efficiency for hyperbolic estimator 
HYPk  Computes breakdown point and efficiency for hyp. tan. estimator 
HYPpsi  Computes psi function for hyperbolic tangent estimator 
HYPpsider  Computes derivative of psi function for hyperbolic tangent estimator 
HYPpsix  Computes psi function for hyperbolic tangent estimator times x 
HYPrho  Computes rho function using hyperbolic tangent estimator 
HYPwei  Computes weight function psi(u)/u for hyperbolic tangent estimator 
kdebiv  Computes (and optionally plots) a kernel smoothing estimate for bivariate data 
mahalCorAna  Computes Mahalanobis distances (in squared units) for each row of matrix Y 
mahalFS  Computes Mahalanobis distances (in squared units) for each row of matrix Y 
mdpattern  Finds and plots missing data patterns 
mdpd  Computes Minimum Distance Power Divergence statistics 
medcouple  Computes the medcouple, a robust skewness estimator 
Mlocation  Finds the M estimator of location in a univariate sample 
Mlocsca  Computes M estimator of location and scale in univariate samples 
Mscale  Finds the M estimator of the scale 
msdcutoff  Mahalanobis Squared Distance cutoff 
ncpci  Non centrality parameter confidence interval (taken from effect_of_size_toolbox) 
normBoxCox  Computes (normalized) BoxCox transformation 
normYJ  Computes (normalized) YeoJohnson transformation 
normYJpn  Computes (normalized) extended YeoJohnson transformation 
OPTbdp  Finds the constant c associated to the supplied breakdown point 
OPTc  Computes breakdown point and efficiency associated with constant c for Optimal rho function 
OPTeff  Finds the constant c which is associated to the requested efficiency 
OPTpsi  Computes psi function (derivative of rho function) for optimal weight function 
OPTpsider  Computes derivative of psi function (second derivative of rho function) for optimal weight function 
OPTpsix  Computes psi function (derivative of rho function) times x 
OPTrho  Computes rho function for optimal weight function 
OPTwei  Computes weight function psi(u)/u for optimal weight function 
PDbdp  Finds the constant alpha associated to the supplied breakdown point for minimum power divergence estimator 
PDc  Computes breakdown point and efficiency associated with tuning constant alpha for minimum power divergence estimator 
PDeff  Finds the constant alpha which is associated to the requested efficiency for minimum power divergence estimator 
PDpsi  Computes psi function (derivative of rho function) for minimum density power divergence estimator 
PDpsider  Computes derivative of psi function (second derivative of rho function) for minimum power divergence estimator 
PDpsix  Computes psi function (derivative of rho function) times x for minimum density power divergence estimator 
PDrho  Computes rho function for minimum density power divergence estimator 
PDwei  Computes weight function psi(u)/u for for minimum density power divergence estimator 
pivotCoord  Transforms into Pivot coordinates as a special case of isometric logratio coordinates 
pivotCoordInv  Transforms back the output of pivotCoord 
Powertra  Computes power transformation (BoxCox or YeoJohnson) 
Qn  Robust estimator of scale (first quartile of interpoint distances $x_ix_j$) 
RandIndexFS  Calculates Rand type Indices to compare two partitions 
RhoPsiWei  Finds rho, psi, psi', w functions given bdp, or eff or tuning constant c 
RKbdp  Finds the constants c associated to the supplied breakdown point and asymptotic rejection point 
RKeff  Finds the constants c and M which are associated to the requested efficiency and ARP 
RKpsi  Computes psi function for Rocke (translated Tukey's) biweight 
RKpsider  Computes derivative of psi function (second derivative of rho function) for Rocke (translated Tukey's) biweight 
RKpsix  Computes psi function times x for Rocke (translated Tukey's) biweight 
RKrho  Computes rho function for Rocke (translated Tukey's) biweight 
RKwei  Computes weight function psi(u)/u for Rocke (translated Tukey's) biweight 
rthin  Applies independent random thinning to a point pattern 
Sn  Robust estimator of scale (robust version of Gini's average difference) 
tabulateFS  Creates frequency table of unique values of x, excluding possible 0 counts 
TBbdp  Finds the constant c associated to the supplied breakdown point for Tukey's biweight 
TBc  Computes breakdown point and efficiency associated with constant c for Tukey's biweight 
TBeff  Finds the constant c which is associated to the requested efficiency for Tukey's biweight 
TBpsi  Computes psi function (derivative of rho function) for Tukey's biweight 
TBpsider  Computes derivative of psi function (second derivative of rho function) for Tukey's biweight 
TBpsix  Computes psi function (derivative of rho function) times x for Tukey's biweight 
TBrho  Computes rho function for Tukey's biweight 
TBwei  Computes weight function psi(u)/u for Tukey's biweight 
winsor  Returns a winsorized copy of input 
wthin  Thins a uni/bidimensional dataset 
cabc  Closes all open figures except the one in foreground (the current) 
cascade  Is a third party function used in FSDA demos and examples 
clickableMultiLegend  Hides/shows symbols inside all gplotmatrix subplots (or similar multiplots) clicking on the legend 
existFS  Check if file exists and puts answer in a cached persistent variable 
findDir  Finds recursively all directories in root 
findFile  Finds recursively all files in root 
isfunction  Checks if a function exists 
m2ipynb  Convert selected m files into Jupyter notebook files 
openMatlabFileFromHTML  Enables to put in HTML an hypertextual link to a specific MATLAB file 
position  Controls the position of the open figures 
quickselectFS  Finds the kth order statistic 
quickselectFSw  Finds the 100*pth weighted order statistic for $0

removeExtraSpacesLF  Removes extra spaces and selected carriage returns from input string 
repDupValWithMean  Replaces values of y which have non unique elements in vector x with local means 
setdiffFS  Finds the positive integers in a which are not present in the positive integers in b 
suplabel  Places text as a title, xlabel, or ylabel on a group of subplots 
tabledisp  Displays in good format a table or array in the command line 
triu2vec  Extracts in a vector the linear indexes or the elements on and above the kth diagonal of a square matrix 
upperfracpos  Positions two figures on the upper part of the screen 
verLessThanFS  Compares version of MATLAB to specified version number 
wraptextFS  Formats long strings into wrapped text of specified width 
zscoreFS  Computes (robust) standardized z scores 
bc  Returns the Binomial coefficient 
combsFS  Is an iterative algorithm equivalent to the MATLAB combs.m 
lexunrank  Gives the the $k$combination of $n$ elements of position $N$ in the lexicographic order of all combinations 
nchoosekFS  Returns the Binomial coefficient or matrix containing all combinations 
randsampleFS  Generates a random sample of k elements from the integers 1 to n (k<=n) 
shuffling  Does a random permutation of the elements of input vector 
subsets  Creates a matrix of indexes where rows are distinct psubsets extracted from a set of n elements 
htmlwriteFS  Is an obsolete function which will be removed in future releases. Use publishFS.m instead 
makecontentsfileFS  Extends Matlab function makecontentsfile 
mreadFS  Enables to create a structure with InputArgs/OptArgs/OutArgs ... from .m function files (OBSOLETE FUNCTION REPLACED BY publishFS.m) 
publishBibliography  Enables to create web page which contains the references inside the input .m files 
publishFS  Enables to create automatic HELP FILES from structured .m function files 
publishFunctionAlpha  Enables to create web page which contains the alphabetical list of functions 
publishFunctionCate  Enables to create web page which contains the categorical list of functions 
setToolboxStartEnd  Sets release compatibility in ToolboxPackagingConfiguration.prj file 
xmlcreateFS  Creates an XML file passing through publishFS 