Matlab Codes

betaplot.m code to plot a beta probability distribution
binoplot.m code to plot a binomial probability distribution
cauchyplot.m code to plot a cauchy probability distribution
chi2plot.m code to plot a chi square probability distribution
densityxy.m code to plot the density contours of a scatterplot (by Christopher Keane)
expplot.m code to plot an exponential probability distribution
gammaplot.m code to plot a gamma probability distribution
KaplanMaier.m code to plot a Kaplan Maier curve, given some inputs
logistic.m code to plot a logistic probability distribution
normplot.m code to plot a normal probability distribution
npplot.m code for an interactive normal probability plot of a data vector x
pltdens.m code to draw a nonparametric density estimate (by Anders Holtsberg)
poissplot.m code to plot a poisson probability distribution
tplot.m code to plot a Student t probability distribution

cv.m code to calculate the Variation Coefficient for a vector
delta.m gives the mean squared differences for a vector X
devscomp.m code to calculate Deviance Decompisition
duminv.m Take a 0-1 matrix and assign the value j whenever there is a 1 on row i and coloumn j
indip.m code to analyse statistical independence for a data matrix
lorenz.m handles the coefficients p(i) and q(i), calculates the ratio of concentration, R and finally the area of concentration of a given vector X. It also handles a plot of the Lorenz graph
lorenzn.m handles the coefficients p(i) and q(i), calculates the ratio of concentration, R and finally the area of concentration of a given vector X with frequency distribution specified in vector n
mds.m code to run a multidimensional scaling analysis

cauchrnd.m samples from a cauchy distribution as ratio of two independent N(0,1)
clh.m clears all and goes home
dblexrnd.m samples from a double exponential distribution
exl_getmat.m Import an Excel spreadsheet into a Matlab matrix
exl_setmat.m Export a Matlab matrix into an Excel spreadsheet
invgmrnd.m samples from an inverse gamma distribution
prtornd.m samples from a pareto distribution by means of a probit
binomial_experiment.m Shows how the Bayesian approach work for a discrete experiment - interactive tool