README.md

In atzo92/normtest: Normality test

Normtest

This is an R packages that contains various functions that perform the analysis of input data and check if they are normally distributed. - It analyses mean, standard deviation, skewness and kurtosis. - It performs a Kolmogorov–Smirnov test (K–S test or KS test) which is a nonparametric test of the equality of continuous distribution that can be used to compare a sample with a reference probability distribution (one-sample K–S test), or to compare two samples (two-sample K–S test). - It also performs the Anderson–Darling test which is a statistical test of whether a given sample of data is drawn from a given probability distribution. It is a modification of the Kolmogorov-Smirnov (K-S) test and gives more weight to the tails than does the K-S test. - The final step is to plot the distributions submitted in input

atzo92/normtest documentation built on May 9, 2019, 4:16 a.m.