Mean Comebacks

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...

R = RCR(S) computes the semi-edge-length of the mean-centered hypercube with 95% probability given S, which is either a covariance matrix or a vector of standard deviations from a multivariate normal distribution. If S is a real, nonnegative vector, RCR(S) is equivalent to RCR(DIAG(S.^2)). Scalar...

Digital Amplitude Optimum (BOD) for discontinuous control [bod.m, bod_gen.m]Finite Time Settling control (EEZ) [eez.m]z-transform including variations of coupling and measuring[trans.m]Cascade control (max. 3 loops, variations of EEZ and BOD)[kaskade.m]Quality criteria (single criterion, integral...


Platforms: Matlab

Computes the nth moment mean of a function (needs more implentation).m = moment(x, y, n)m = nth moment of yx = domainy = datan = nth moment == 1 by defaultm = int(x^n * y) / int(y)where int is integral over all x integral is calculated using trapezium rule


Platforms: Matlab

A standard problem in satellite retrievals is finding the file day and granule data on the DAAC associated with a particular lat/lon and also finding the Greenwich Mean Time associated with a sounding.This set of files will find file day and granule and GMT for a particular lat/lon based on the...


Platforms: Matlab

Multivariate normal simulations where sample mean and covariances match the respective population moments, refer toA. Meucci (2009), "Simulations with Exact Means and Covariances",Latest version of article and code available at http://symmys.com/node/162


Platforms: Matlab

BLOCKMEAN - Fast mean of rectangular submatricesThe mean of V*W elements along the 1st and 2nd dimension is calculated. This is no running mean filter: The sizes of the 1st and 2nd dimension are reduced by the factors V and W.I use this as cheap anti-aliasing of RGB images, therefore it is...


Platforms: Matlab

This function returns statistics on the intensity of an image, including the sum, mean, standard deviation, min and max. A rectangular region of interest can be selected by the user by using 'r' as the 2nd parameter. Alternatively, the region of interest can be more accurately defined by a...


Platforms: Matlab

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


Platforms: Matlab

it's useful to see how the mean and the standard deviation change when you use more samples to calculate it.


Platforms: Matlab

it's useful to see how the mean and the standard deviation change when you use more samples to calculate it.The Array can contain NaN's but it's slower than cumstat (File ID: #26899) because it contain a for-loop


Platforms: Matlab

A Gaussian mixture model means that each data point is drawn (randomly) from one of C classes of data, with probability p_i of being drawn from class i, and each class is distributed as a Gaussian with mean standard deviation mu_i and sigma_i. Given a set of data drawn from such a distribution,...


Platforms: Matlab

Functions for Rice/Rician PDF: summary statistics (mean and variance), generating random samples, and simple moment-matching to fit the distribution to data.Similar to e.g. normpdf, normstat, normrnd and normfit from the MATLAB statistics toolbox, but for the Rice distribution, which is useful in...


Platforms: Matlab

A generalized mean, also known as power mean, Holder mean or Kolmogorov-Negumo function of the mean, is an abstraction of the Pythagorean means included harmonic, geometric, and arithmetic mean.It is defined as,Mk = [1/n(x1^k + x2^k + ... + xn^k)]^1/kwhere: k is indicator power for the desired...


Platforms: Matlab

Creates a number of samples from a specified number of dimensions and centers them around a given mean, and within a given covariance range. You might not find it very useful, but hey, I need something to do this so why not.To use:You need to generate 1000 samples from a 3 dimensional Gaussian...


Platforms: Matlab

The stats toolbox provides a function to calculate the geometric mean of an array, but a function for the geometric standard deviation is oddly missing.Here is a function to fill that void, with no toolbox required.The function accepts a vector, matrix or N-D array; an optional flag to normalise...


Platforms: Matlab

Using the Cholesky decomposition, it generates n iterations of multivariate Gaussian random variables for a given mean vector (mu) and variance-covariance matrix (sigma).mvgrnd(mu,sigma,n)


Platforms: Matlab

MEANCENT - for a dataset, returns the mean and mean-centered set.Many applications require mean-centering of a dataset.


Platforms: Matlab

Calculates the M fractional trimmed mean (truncated mean) of the values in X. Excluding the highest and lowest PERCENT/2 (%) of the data. It is an advanced trimming method. Given a sample of n ordered observations x_(1)


Platforms: Matlab

SAT (Solar Apparent Time YYYY/MM/DD hh:mm:ss) [N x 19] charSMT (Solar Mean Time YYYY/MM/DD hh:mm:ss) [N x 19] char


Platforms: Matlab