Plotting in Matlab by groups or (labels)
How to plot in Matlab by labels?
Suppose You have some data:
1st case – we have 1-d (dimension) data or vector, so the next step is to plot this vector:
>plot(data,'b*');
Simple Plot
Now You’ve made some classification using f.e. kmeans algorithm:
>[IDX,C]=kmeans(data,5,'emptyaction','singleton');So we have labels in vector IDX and centroids in C. Now let’s try to plot data-vector using labels
>scatter(1:1000, data, 30, IDX, 'filled');
scatter plot with lables
Let’s scale Y to log in order to see small values
Scatter plot with Y-log scale
The same thing we can make with 2-dimension data 08.1.10
The list of some Matlab Tool Boxes
The list of some Matlab Tool Boxes from http://stommel.tamu.edu/~baum/toolboxes.html
* ADCPtools - acoustic doppler current profiler data processing
* AFDesign - designing analog and digital filters
* AIRES - automatic integration of reusable embedded software
* Air-Sea - air-sea flux estimates in oceanography
* Animation - developing scientific animations
* ARfit - estimation of parameters and eigenmodes of multivariate autoregressive methods
* ARMASA - power spectrum estimation
* AR-Toolkit - computer vision tracking
* Auditory - auditory models
* b4m - interval arithmetic
* Bayes Net - inference and learning for directed graphical models
* Binaural Modeling - calculating binaural cross-correlograms of sound
* Bode Step - design of control systems with maximized feedback
* Bootstrap - for resampling, hypothesis testing and confidence interval estimation
* BrainStorm - MEG and EEG data visualization and processing
* BSTEX - equation viewer
* CALFEM - interactive program for teaching the finite element method
* Calibr - for calibrating CCD cameras
* Camera Calibration
* Captain - non-stationary time series analysis and forecasting
* CHMMBOX - for coupled hidden Markov modeling using maximum likelihood EM
* Classification - supervised and unsupervised classification algorithms
* CLOSID
* Cluster - for analysis of Gaussian mixture models for data set clustering
* Clustering - cluster analysis
* ClusterPack - cluster analysis
* COLEA - speech analysis
* CompEcon - solving problems in economics and finance
* Complex - for estimating temporal and spatial signal complexities
* Computational Statistics
* Coral - seismic waveform analysis
* DACE - kriging approximations to computer models
* DAIHM - data assimilation in hydrological and hydrodynamic models
* Data Visualization
* DBT - radar array processing
* DDE-BIFTOOL - bifurcation analysis of delay differential equations
* Denoise - for removing noise from signals
* DiffMan - solving differential equations on manifolds
* Dimensional Analysis -
* DIPimage - scientific image processing
* Direct - Laplace transform inversion via the direct integration method
* DirectSD - analysis and design of computer controlled systems with process-oriented models
* DMsuite - differentiation matrix suite
* DMTTEQ - design and test time domain equalizer design methods
* DrawFilt - drawing digital and analog filters
* DSFWAV - spline interpolation with Dean wave solutions
* DWT - discrete wavelet transforms
* EasyKrig
* Econometrics
* EEGLAB
* EigTool - graphical tool for nonsymmetric eigenproblems
* EMSC - separating light scattering and absorbance by extended multiplicative signal correction
* Engineering Vibration
* FastICA - fixed-point algorithm for ICA and projection pursuit
* FDC - flight dynamics and control
* FDtools - fractional delay filter design
* FlexICA - for independent components analysis
* FMBPC - fuzzy model-based predictive control
* ForWaRD - Fourier-wavelet regularized deconvolution
* FracLab - fractal analysis for signal processing
* FSBOX - stepwise forward and backward selection of features using linear regression
* GABLE - geometric algebra tutorial
* GAOT - genetic algorithm optimization
* Garch - estimating and diagnosing heteroskedasticity in time series models
* GCE Data - managing, analyzing and displaying data and metadata stored using the GCE data structure specification
* GCSV - growing cell structure visualization
* GEMANOVA - fitting multilinear ANOVA models
* Genetic Algorithm
* Geodetic - geodetic calculations
* GHSOM - growing hierarchical self-organizing map
* glmlab - general linear models
* GPIB - wrapper for GPIB library from National Instrument
* GTM - generative topographic mapping, a model for density modeling and data visualization
* GVF - gradient vector flow for finding 3-D object boundaries
* HFRadarmap - converts HF radar data from radial current vectors to total vectors
* HFRC - importing, processing and manipulating HF radar data
* Hilbert - Hilbert transform by the rational eigenfunction expansion method
* HMM - hidden Markov models
* HMMBOX - for hidden Markov modeling using maximum likelihood EM
* HUTear - auditory modeling
* ICALAB - signal and image processing using ICA and higher order statistics
* Imputation - analysis of incomplete datasets
* IPEM - perception based musical analysis
* JMatLink - Matlab Java classes
* Kalman - Bayesian Kalman filter
* Kalman Filter - filtering, smoothing and parameter estimation (using EM) for linear dynamical systems
* KALMTOOL - state estimation of nonlinear systems
* Kautz - Kautz filter design
* Kriging
* LDestimate - estimation of scaling exponents
* LDPC - low density parity check codes
* LISQ - wavelet lifting scheme on quincunx grids
* LKER - Laguerre kernel estimation tool
* LMAM-OLMAM - Levenberg Marquardt with Adaptive Momentum algorithm for training feedforward neural networks
* Low-Field NMR - for exponential fitting, phase correction of quadrature data and slicing
* LPSVM - Newton method for LP support vector machine for machine learning problems
* LSDPTOOL - robust control system design using the loop shaping design procedure
* LS-SVMlab
* LSVM - Lagrangian support vector machine for machine learning problems
* Lyngby - functional neuroimaging
* MARBOX - for multivariate autogressive modeling and cross-spectral estimation
* MatArray - analysis of microarray data
* Matrix Computation - constructing test matrices, computing matrix factorizations, visualizing matrices, and direct search optimization
* MCAT - Monte Carlo analysis
* MDP - Markov decision processes
* MESHPART - graph and mesh partioning methods
* MILES - maximum likelihood fitting using ordinary least squares algorithms
* MIMO - multidimensional code synthesis
* Missing - functions for handling missing data values
* M_Map - geographic mapping tools
* MODCONS - multi-objective control system design
* MOEA - multi-objective evolutionary algorithms
* MS - estimation of multiscaling exponents
* Multiblock - analysis and regression on several data blocks simultaneously
* Multiscale Shape Analysis
* Music Analysis - feature extraction from raw audio signals for content-based music retrieval
* MWM - multifractal wavelet model
* NetCDF
* Netlab - neural network algorithms
* NiDAQ - data acquisition using the NiDAQ library
* NEDM - nonlinear economic dynamic models
* NMM - numerical methods in Matlab text
* NNCTRL - design and simulation of control systems based on neural networks
* NNSYSID - neural net based identification of nonlinear dynamic systems
* NSVM - newton support vector machine for solving machine learning problems
* NURBS - non-uniform rational B-splines
* N-way - analysis of multiway data with multilinear models
* OpenFEM - finite element development
* PCNN - pulse coupled neural networks
* Peruna - signal processing and analysis
* PhiVis - probabilistic hierarchical interactive visualization, i.e. functions for visual analysis of multivariate continuous data
* Planar Manipulator - simulation of n-DOF planar manipulators
* PRTools - pattern recognition
* psignifit - testing hyptheses about psychometric functions
* PSVM - proximal support vector machine for solving machine learning problems
* Psychophysics - vision research
* PyrTools - multi-scale image processing
* RBF - radial basis function neural networks
* RBN - simulation of synchronous and asynchronous random boolean networks
* ReBEL - sigma-point Kalman filters
* Regression - basic multivariate data analysis and regression
* Regularization Tools
* Regularization Tools XP
* Restore Tools
* Robot - robotics functions, e.g. kinematics, dynamics and trajectory generation
* Robust Calibration - robust calibration in stats
* RRMT - rainfall-runoff modelling
* SAM - structure and motion
* Schwarz-Christoffel - computation of conformal maps to polygonally bounded regions
* SDH - smoothed data histogram
* SeaGrid - orthogonal grid maker
* SEA-MAT - oceanographic analysis
* SLS - sparse least squares
* SolvOpt - solver for local optimization problems
* SOM - self-organizing map
* SOSTOOLS - solving sums of squares (SOS) optimization problems
* Spatial and Geometric Analysis
* Spatial Regression
* Spatial Statistics
* Spectral Methods
* SPM - statistical parametric mapping
* SSVM - smooth support vector machine for solving machine learning problems
* STATBAG - for linear regression, feature selection, generation of data, and significance testing
* StatBox - statistical routines
* Statistical Pattern Recognition - pattern recognition methods
* Stixbox - statistics
* SVM - implements support vector machines
* SVM Classifier
* Symbolic Robot Dynamics
* TEMPLAR - wavelet-based template learning and pattern classification
* TextClust - model-based document clustering
* TextureSynth - analyzing and synthesizing visual textures
* TfMin - continous 3-D minimum time orbit transfer around Earth
* Time-Frequency - analyzing non-stationary signals using time-frequency distributions
* Tree-Ring - tasks in tree-ring analysis
* TSA - uni- and multivariate, stationary and non-stationary time series analysis
* TSTOOL - nonlinear time series analysis
* T_Tide - harmonic analysis of tides
* UTVtools - computing and modifying rank-revealing URV and UTV decompositions
* Uvi_Wave - wavelet analysis
* varimax - orthogonal rotation of EOFs
* VBHMM - variation Bayesian hidden Markov models
* VBMFA - variational Bayesian mixtures of factor analyzers
* VMT - VRML Molecule Toolbox, for animating results from molecular dynamics experiments
* VOICEBOX
* VRMLplot - generates interactive VRML 2.0 graphs and animations
* VSVtools - computing and modifying symmetric rank-revealing decompositions
* WAFO - wave analysis for fatique and oceanography
* WarpTB - frequency-warped signal processing
* WAVEKIT - wavelet analysis
* WaveLab - wavelet analysis
* Weeks - Laplace transform inversion via the Weeks method
* WetCDF - NetCDF interface
* WHMT - wavelet-domain hidden Markov tree models
* WInHD - Wavelet-based inverse halftoning via deconvolution
* WSCT - weighted sequences clustering toolkit
* XMLTree - XML parser
* YAADA - analyze single particle mass spectrum data
* ZMAP - quantitative seismicity analysis
The list of free statistical software
The list of FREE statistical software was found at http://statpages.org/javasta2.html
This page contains links to free software packages that you can download and install on your computer for stand-alone (offline, non-Internet) computing. They are listed below, under the following general headings:
* General Packages: support a wide variety of statistical analyses
* Subset Packages: deal with a specific area of analysis, or a limited set of tests
* Curve Fitting and Modeling: to handle complex, nonlinear models and systems
* Biostatistics and Epidemiology: especially useful in the life sciences
* Surveys, Testing and Measurement: especially useful in the business and social sciences
* Excel Spreadsheets and Add-ins: you need a recent version of Excel
* Programming Languages and Subroutine Libraries: customized for statistical calculations; you need to learn the appropriate syntax
* Scripts and Macros: for scriptable packages, like SAS, SPSS, R, etc.
* Miscellaneous: don’t fit into any of the other categories
* Other Collections of Links to Free Software
General Packages: No package does everything, but these programs support a wide variety of statistical analyses.
Completely Free… can be freely downloaded and used in their fully-functional mode (no strings attached) and
Free, but… “demonstration” or “student versions” of commercial packages; can be freely downloaded, but are usually restricted or limited in some way.
Yet another one list for free statistical software http://en.freestatistics.info/stat.php
You are welcome!
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