normality

Submitted by Red-R Developme... on Tue, 08/16/2011 - 08:35

Includes widgets to perform normality tests, Box-Cox type functions to normalize datasets, outliers detection for univariate and multivariate data, test for homoscedasticity and generate sequences of numbers.

Download
Red-R Version: 
Red-R-1.85b
Red-R Package Version: 
0.21
Package Download: 
application/zip iconnormality-0.21.zip
Widget Description
Box-Cox Box-Cox and Yeo-Johnson transformations
Condidence interval Computes confidence intervals.
Generate sequence Generates a vector containing a regular sequence or replicates of an object.
Homoscedasticity test Tests of homoscedasticity, i.e. homogeneity of variances.
Normality test Help the analyst decide if the distribution can be considered normal.
Outliers multivariate Performs multivariate outlier detection analysis.
Outliers univariate Performs univariate outlier detection.