accelimp: Accelerometer Data Example with Imputations

In accelmissing: Missing Value Imputation for Accelerometer Data

Description

Imputed Data example from 2003-4 National Health and Nutrition Examination Survey dataset. This data example includes 184 individuals to give 1288 daily profiles, as a result of accel.impute().

Usage

data(accelimp)

Format

List with multiple matrix objects. accelimp includes a single dataset a result of accel.impute(..., m=1,...). You may produce multiple datasets by setting m=5 (default).

• accelimp$imp1: matrix

• []...

• accelimp$imp5: matrix

References

[1] Lee JA, Gill J (2016). Missing value imputation for physical activity data measured by accelerometer. Statistical Methods in Medical Research.

See Also

accel.impute

Examples

data(accelimp)
ls(accelimp)

Example output

Loading required package: mice
Loading required package: lattice

Attaching package: 'mice'

The following objects are masked from 'package:base':

    cbind, rbind

Loading required package: pscl
Classes and Methods for R developed in the
Political Science Computational Laboratory
Department of Political Science
Stanford University
Simon Jackman
hurdle and zeroinfl functions by Achim Zeileis
[1] "imp1"

accelmissing documentation built on May 2, 2019, 1:44 p.m.