Generate Data Set

This script is a Python module implementing a class which can be used for computing numerical statistics for a given data set.This recipe implements a descriptive statistical analysis class. It's intended to aid in computing numerical statistics for a given data set. It's well documented and... Platforms: Windows, Mac, *nix, Python, BSD Solaris

This is a simple utility to detect EPSPs, IPSPs, EPSCs, or IPSCs in a data set with many adjustable parameters if necessary. It is based on a cumulative derivative function on a smoothed version of the data. A graphical interface to the function is available at http:filer.case.edupel6. Platforms: Matlab

The function makes use of the inbuilt interp1 function to perform 2D extrapolation on a given data set. The input to the function is in the same format as required by interp2.eg. Zi = interpextrap2(X,Y,Z,Xi,Yi).Only it does not take "method" input. Method is 'cubic' by default. But the 'method'... Platforms: Matlab

The Affinity Propagation (AP) clustering algorithmproposed by Frey and Dueck (2007) provides an understandable,nearly optimal summary of a data set. However,it suffers two major shortcomings: i) the number of clusters isvague with the user-defined parameter called self-confidence,and ii) the... Platforms: Matlab

This is an adaption of the awesome NF2FF script to give the far field characteristics of an antenna from the near-field data set. The adaption makes no changes to the calculations but replaces the complex data set with text based input files.This allows two text files (co- and cross-planar) of... Platforms: Matlab

Plots the trend in a 2-parameter data set interactively, i.e. it generates bins along the X-scale, and calculates the mean of the Y parameter for each bin.The first bin contains elements smaller than or equal to the smallest bin, the last bin contains elements larger than the largest... Platforms: Matlab

When interpolating on a given data set, convhull is used to set the boundaries of the interpolation area. Because convhull only minimizes the outline length, there might be interpolation lines which are unwanted (see figure).hullfit tries to minimze the polygon area instead resulting in a hull... Platforms: Matlab

Bivariate Kamma Kernel Density Estimatefor large data set Platforms: Matlab

A small tool to find all points of a geven data set wihtin the radial or box range around the query point. It fully uses the JIT hence is very fast compare to other implementations.Version 2 is about 10 times faster. Now it is about the same speed as mex coded kdtree code (FEX ID 4586). Platforms: Matlab

GQQPLOT(X,DIST) makes an plot of the quantiles of the data set X versus the inverse of the cdf of a distribution specified in DIST, evaluated at probabilities equal to the quantiles of X. The parameters of the distribution are calculated from X.The purpose of the QQ plot is to determine whether... Platforms: Matlab

MEDOUTLIERFILT - remove outliers from a multivariate data set using themedian of each column[stats_data, filtered_data] = medoutlierfilt(x,outlier_cut,plot_state) removes possible outliers froma data set, X, by specifiying a cut off. OUTLIER_CUT is a cut off is a multiple of the inter quartile... Platforms: Matlab

Included in the first line of the script is a sample data set. The script will compute basic statistics on this data set:mean1-sigma (standard deviation)medianfirst quartile (25th percentile)second quartile (50th percentile)third quartile (75th percentile)kth percentileIQRSID Platforms: Matlab

The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their... Platforms: Matlab

The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their... Platforms: Matlab

The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their... Platforms: Matlab

Usage: [q,se]=quantilese(x,p) [q,ql,qu]=quantilese(x,p,a)This determines the quantiles corresponding to probability P in the data set X, along with either their standard errors or confidence intervals at level A. The standard errors are calculated using the Maritz-Jarrett method and the... Platforms: Matlab

The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their... Platforms: Matlab

The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their... Platforms: Matlab

I have often needed to generate data files to export from Matlab for other programs with headers to explain the contents of the columns. This simple routine extends the function of the MATLAB csvwrite function to add column headersPlease refer the help for csvwrite for a detailed description of... Platforms: Matlab

This code fits makes a linear fit to a data set (using y =bx+a) where each data point% has a different or constant standard deviation. Your data should have three or two columns.% The first column should be the independent variable(x) and the second% column should be the dependent variable(y).... Platforms: Matlab