NumAcc4: NumAcc4 NIST Univariate Data Set.

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

Description

Dataset of 1001 9-digit points

Usage

NumAcc4

Format

1001 observation of 1 variable:

Details

This generated/fabricated dataset consists of 1001 9-digit floating-point values: a single 10000000.2, followed by 500 pairings of 10000000.1 and 10000000.3. By construction, this data set has sample mean = 10000000.2 (exact); sample standard deviation = .1 (exact); and sample autocorrelation coef. = -0.999 (exact). The construction was carried out based on considerations described by Simon, Stephen D. and Lesage, James P. (1989): Assessing the Accuracy of ANOVA Caluclations in Statistical Software", Computational Statistics \& data Analysis, 8, pp. 325-332.

Level of Difficulty	Higher
Variables	1
Observations	1001
First observation	100000000.2
Expected results (as certified)
Mean	10000000.2 (exact)
Standard Deviation	0.1 (exact)
Population lag-1 autocorrelation coefficient	-0.999 (exact)

Source

http://www.itl.nist.gov/div898/strd/univ/numacc4.html

Examples

NumAcc4

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