Outlier

weka outlier is an implementation of outlier detection algorithms for WEKA. CODB (Class Outliers: Distance-Based) Algorithm is the first algorithm developed using WEKA framework. Platforms: Windows, Mac, Linux

Grubb's outlier test can be used to remove one outlier (see deleteoutliers.m by Brett Schoelson). If you decide to remove this outlier, you might be tempted to run Grubbs' test again to see if there is a second outlier in your data. However, if you do this, you cannot use the same rejection... Platforms: Matlab

One of several approaches to outlier rejection, Peirce's method is more general than Chauvenet's method.As constructed this works on univariate data only. Platforms: Matlab

1 Introduction This toolbox implements all the routine PLS-related/based algorithms which kind of serves as the basics in chemometrics, including PLS calibration and prediction, leave one out cross validation (LOOCV), K-fold cross validation, Monte Carlo cross validation(MCCV), double cross... Platforms: Matlab

Iterative, robust fit of the exact equation of a circle to xy data. Outliers are identified based on multiples of current standard deviation and "set aside". The interative solution proceeds until there are no remaining outliers. Returns xo,yo,R, terminal outlier criterion, and residuals vector. Platforms: Matlab

This test is based on the Wilks'method (1963) designed for detection of a single outlier from a normal multivariate sample and approaching the maximun squared Mahalanobis distance to a F distribution function by the Yang and Lee (1987) formulation. A significative squared Mahalanobis distance... Platforms: Matlab

This script calculates and/or reports the following approximate values for each real- or integer-valued active column: * Minimum * Q1 (first quartile) * Median * Q3 (third quartile) * Maximum * Q1 * x*IQR * Q3 * x*IQR Where x is a user defined multiplier to define outlier thresholds... Platforms: Mac

Gwyddion is a modular program for SPM (scanning probe microscopy) data visualization and analysis. Primarily it is intended for analysis of height fields obtained by scanning probe microscopy techniques (AFM, MFM, STM, SNOM/NSOM), however it can be generally used for any other height field and... Platforms: Linux

The PlateKi application can be used in leading pharmaceutical research laboratories to determine "tight-binding"or "classical" inhibition constants from raw plate-reader data. Associated IC50 values are also determined for compatibility with most corporate databases. Benefits: - High processing... Platforms: Windows

easyfitGUI(varargin) fits real data Y = f(X) easyfitGUI open a figure with uimenus devoted to process the data. VARARGIN: one or several matrix [X, Y] having: first column = vector of the independant variable (X) second column = vector of the dependant variable (Y). The Y-data are plotted... Platforms: Matlab

Arbitrary-order polynomial datum is fit to and extracted from input xy data. Outliers - defined based either on a non-parametric or mutliples-of-standard deviation criteria - are optionally identified and "set aside". The interative solution proceeds until there are no remaining outliers in the... Platforms: Matlab

[B, IDX, OUTLIERS] = DELETEOUTLIERS(A, ALPHA, REP) For input vector A, returns a vector B with outliers (at the significance level alpha) removed. Also, optional output argument idx returns the indices in A of outlier values. Optional output argument outliers returns the outlying values in A.... Platforms: Matlab

In a one-way analysis of variance random effects model one would expect that the measurements lie close together because the same quantity was measured and states that the class effects stem from a common source and therefore should not difer too much. In the random model some variation is... Platforms: Matlab

Given a sample, the routine looks for outliers and gives back their indexes that identify them in the input vector.The routine allows the specification of the critical probability (alpha, default is 0.01 = 1%), can manage NaNs and, as default, it uses statistics (biweight) that are robust to... Platforms: Matlab

There are several definitions for outliers. One of the more widely accepted interpretations on outliers comes from Barnett and Lewis, which defines outlier as d-deDUan observation (or subset of observations) which appears to be inconsistent with the remainder of that set of datad-deDt. However,... Platforms: PHP

This script calculates thresholds for the top and bottom percentiles of log ratio data, as specified by the user, for the purpose of winsorizing * replacing extreme log ratio values with the calculated thresholds. Winsorizing data prevents segmentation algorithms from being driven by outlier... Platforms: Mac