Minimum Data Set

Bivariate Kamma Kernel Density Estimatefor large data set

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).

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

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

Takes a numeric verctor and cell string vector and plots a spider chart (One data set is allowed)


Platforms: Matlab

This zip files contains programs (five functions, one example program, and one sample data set) to plot data in ternary diagrams. The first option is a pseudo color plot, the second is a contour plot, and the third style plots the data as color coded symbols (similar to my function 'plot3c'). An...


Platforms: Matlab

Generates a contour plot of a 2-column data set in which the 1st and 2nd column contains the X and Y variables, respectively.Output variables can be specified interactively.2D histogram output: Rows contain the distribution of the X variable (1st column in input data) according to the specified X...


Platforms: Matlab

This function is used to plot combination of 2 different variables from the data set. From the plots, we observe the data characteristics i.e. linearity/nonlinearity to define further type of analysis to do, i.e. linear modelling or nonlinear modelling or hybrid modelling.


Platforms: Matlab

Core Hunter is a program that can be used for sampling genetic resources from a reference data set. Users can specify the sampling intensity and which genetic measures will be used for selection criteria. For instance, a core subset could be selected that best maximizes the average modified...


Platforms: Mac

Set EXIF Data sets, not edits, the EXIF data in an image. Set EXIF Data uses the excellent EXIFtool (comes bundled), a tool which you should install first. What's New in This Release: [ read full changelog ] New: ?*A* Added the ability to add or subtract a fixed time to/from a batch of photo's....


Platforms: Mac

Database developers and administrators know the testing routine very well. One of the most unpopular tasks is creating data sets for testing new databases. On average, it takes several hours to several days of dull work, since each data set has to be created manually (copying and pasting at...


Platforms: Windows, Windows 7, Windows Server

Lost or corrupted accounting data can be devastating to the livelihood of a company. Peachtree is one of the leading providers for business class accounting software. It's not unusual for data files such as the .DAT and backup files such as .PTB to become damaged or corrupted. These problems can...


Platforms: Windows, Mac