Median

Python module to track the overall median of a stream of values 'on-line' in reasonably efficient fashion.

snlanalytic is a small Python script that takes a stem-and-leaf plot as input and returns basic statistics (sum, mean, median, mode) to the user.

Enter a dice or other mathematical expression and view distribution graphs, statistics (mode, median, mean, etc.), comparisons, and rolls. Save, load, and print expressions for your NPC, character, or 2011 tax year. This is not just a 'click-n-roll' app.


Platforms: Mac

The Image Processing toolbox toolbox is lacking a key feature I need, namely the support of all data types.Quick list of the source included:imhist_thresh.cpp: Generate histogram from data, # of bins based on unique values.imsmarthist_thresh.cpp: equalize data based on...


Platforms: Matlab

Pitch determination and voice quality analysis using subharmonic-to-harmonic ratio.There are also some post-processing routines available, such as de-step filter, median filter, and linear filter. For more information, please see http://www.speakingx.com/blog/2008/01/02/pitch-determination


Platforms: Matlab

toobox_signal - signal processing related functions.This toolbox contains functions related to image processing, including* images loading and generation.* filtering and blurring functions.* anisotropic and spacially variant filters.* non-linear filtering (median, LIC, bilateral).* High Dynamic...


Platforms: Matlab

Some curve fitting or smoothing tools can benefit from knowledge of the noise variance to expect on your data. Kalman filters use this information, also some spline fitting tools. So I wrote a function to extract the noise variance from a signal vector. It also works on any specified dimension of...


Platforms: Matlab

The MATLAB function in TSK.m analyzes a dose-response curve and calculates the median dose (for instance, the lethal dose for 50% of the population (LD50)) using the Trimmed Spearman-Karber method. This is an alternative to dose-response analysis methods such as probit and logit methods. It does...


Platforms: Matlab

The Toolbox forecasts the volatility of a (mxn) vector of data and from a variety of in-built / non-in-built GARCH models with various distributions, as well as the univariate RiskMetrics. The toolbox also estimates a number of Volatility Forecast Loss Functions and if selected Value-at-Risk for...


Platforms: Matlab

This function is a substitute for the standard versions of quiver and quiverm available using a vanilla release of matlab. This version assumes a 2D vector field is being plotted using a gridded flow field from a numerical model. It is primarily intended for Earth System Model analysis.The...


Platforms: Matlab

The THEME function takes the given figure/axis and applies one of the color schemes found in Microsoft Excel 2007 OR sets the chosen the theme to be the default for all future plots.Choose from one of any of the following themes: (1) Apex, (2) Aspect, (3) Civic, (4) Concourse, (5) Equity, (6)...


Platforms: Matlab

C++ std::nth_element is an efficient algorithm for selecting a ranked element from a vector of data. Typically it is implemented as a variant of quickselect, AKA Hoare's Selection Algorithm. The mex-file in this package will run nth_element over a 2D array column-wise. See C++ documentation and...


Platforms: Matlab

R= ALLSTATS(A) returns a structure R with several statistics of vector A. A grouping factor can be given in an optional vector. In that case all the statistics will be calculated per group. The stats calculated (returned as fields of R) are:R.min= minimumR.max= maximumR.mean= meanR.std= standard...


Platforms: Matlab

This function gets the key values for a descriptive statistics such as mean, std, mode, median, quartiles and percentiles. This includes the five- and seven-number summary.Input x must be a vector or a matrix where each column of x is regarded as a data set if x is a matrix. Input param is an...


Platforms: Matlab

This is a performance anaylsis. Analysis was performed using MATLAB Ver 6.1. I have tried my level best to bring out the best analysis possible.


Platforms: Matlab

I just need to simply plot the 5 and 95 percentile as well as mean.The cross mark implies median.


Platforms: Matlab

LEPSTEST [lepss] = lepstest(cumclimate,xo,xf,refprob) This code computes LEPS score LEPS: Linear Error Probability Space (Ward and Folland, 1991) lepss - Linear Error Probability Space Score xo - measured values: column vector or scalar xf - forecasted values: column vector or scalar...


Platforms: Matlab

H = TRIPLESTEST(X) performs the non-parametric triples test for symmetry (skewness) of the null hypothesis that the data in X comes from a symmetrical distribution with an unknown median. The test involves the examination of subsets of three variables from X (triples) to determine the likelihood...


Platforms: Matlab

The function testsymmetry(X) implements simple and powerfull method that evidences the presence or absence of asymetric. The method is based on the computation of the mean eighth, mean quartile and the median and if there is no trend, then there is no evidence that the distribution is asymmetric...


Platforms: Matlab

1) Goal: Interactively process MULTIPLE images with MULTIPLE ROIs (so-called mmROI), which returns ROI mean, std, min, max, median, area and center(X,Y), and plots the mean/std values along the image series.2) Usage: [roi, im] = mmROI; (please don't forget to add a semicolon ";" at the end of...


Platforms: Matlab