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### 2-Dimensional Histogram 1.0

function H = histo2D(D,[Xlo Xhi],Xn,[Ylo Yhi],Yn,Xlab,Ylab,Title)

### 2D Histogram Calculation 1.0

function histmat = hist2(x, y, xedges, yedges)

### 2D Histogram Matrix 1.0

function mHist = hist2d ([vY, vX], vYEdge, vXEdge)

### 2D Weighted Polynomial Fitting and Evaluation 1.0

polyval2.m: Evaluate 2D polynomial produced by polyfitweighted2.m.

### A Parabolic Lagrangian Interpolating Polynomial 1.0

estY = lagrange(datainXY, x, N);

### acape 1.0

It needs to input the X,Y-data matrices and alpha-significance (default = 0.05).

### acapewod 1.0

· MATLAB Release: R11

### Accurate Confidence Intervals 1.0

>> prop_ci(90,100,0.05)

1) Parameter Estimation in ODE's-example

### All Common Statistics 1.0

If DIM is [] or not given, DIM is the first non-singleton dimension of X.

### All Pairs Shortest Path Graph Solver 1.0

ALLSPATH - solves the All Pairs Shortest Path problem

### ami and correlation 1.0

[amis corrs] = ami(xy,nBins,nLags)

### AnDarexptest 1.0

The Anderson-Darling test is only available for a few specific distributions.

### anfactpc 1.0

X_1 = b_11*F_1 b_12*F_2 ... b_1m*F_m e_1

### anfactpcwod 1.0

X_1 = b_11*F_1 b_12*F_2 ... b_1m*F_m e_1

### ANOVA and variance components for genetic data 1.0

· MATLAB Release: R12

### ANYRND 1.0

The generated data matrix is a M by N columns matrix.

### AOV1 1.0

Computes the single-factor Analysis of Variance Model I or Model II for equal or unequal sample sizes.

### AOVwod 1.0

· MATLAB Release: R11

### Approximating the Inverse Normal 1.0

Input: u, a sacalar or matrix with elements between 0 and 1

### apR2p 1.0

This m-file computes an approximate determination coefficient (R2) for prediction, say

### ARfit 1.0

ARfit is a collection of Matlab modules for

### ARMADA Data Mining Tool 1.3.2

Item1, ItemN => ItemX

### arsos 1.0

It needs to input X-data matrix and alpha-significance level (default = 0.05).

### arsoswod 1.0

It needs to input the X-sample statistics matrix (take care, the order must be:

### Average mutual information 1.0

Usage: [v,lag]=ami(x,y,lag)

### B-A ScaleFree Network Generation and Visualization 1.0

-mlinks controls the number of links a new node can make to the existing network nodes.

### BALLATSQ 1.0

BALLATSQ - Balanced Latin Square