Lew: Lew NIST univariate Data Set.

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

Description

Dataset of 200 points

Usage

Lew

Format

200 observation of 1 variable:

Details

This "real world" dataset is the result of a study by H.S. Lew of the Structures Division of the Cednter for Building Technology at the National Institute of Standards & Technology (NIST). The purpose of the study was to characterize the physical behavior of steel-concrete beams under periodic load. The rsponse variable is deflection (from the rest point) of the stel-concrete beam. the 200 observations were collected equi-spaced in time.

Level of Difficulty	Lower
Variables	1
Observations	200
First observation	-213
Expected results (as certified)
Mean	-177.435000000000
Standard Deviation	277.332168044316
Population lag-1 autocorrelation coefficient	-0.307304800605679

Source

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

Examples

Lew

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