calculate.PiDigits: Univariate analysis of Pi Digits data set.

In ab9sq/Rqualification: A series of function to test R against NIST data sets

Description

calculate.PiDigits returns specifed Univariate statistics.

Usage

calculate.PiDigits()

Details

This function calulates specific Univariate statistics from the NIST Pi Digits data set and returns a data frame for further evulation.

Value

A data frame that returns the mean, standard deviation and population lag-1 autocorrelation coefficient calculated along with the NIST referenced values The data frame is in the same format as the data frame result for all NIST Univarent statistic in this dataset.

• NIST The NIST data set utilized. For this function this value will be PiDigits

• mean The R calculated mean from the data set

• Standard_Deviation The R culculated standard deviation from the data set

• Autocorrelation_Coefficien Calculate population lag-1 autocorrelation coefficient

• NIST_mean The NIST value of the mean for the data set, provided for reference

• NIST_Standard_Deviation The NIST value of of the standard deviation for the data set, provided for reference

• NIST_Autocorrelation_Coefficient The NIST value of of the population lag-1 autocorrelation coefficient

Examples

calculate.PiDigits()
a <- calculate.PiDigits()

ab9sq/Rqualification documentation built on May 17, 2019, 6:37 p.m.