Data example from 2003-4 National Health and Nutrition Examination Survey dataset. The dataset is available at the website: http://wwwn.cdc.gov/nchs/nhanes/search/nhanes03_04.aspx. This data example only includes 218 individuals, which gives 1526 daily profiles, from 7176 total participants in the physical activity survey.
Usage
data(acceldata)
Format
List with four matrix objects:
acceldata$PA: matrix
acceldata$label: matrix
acceldata$flag: matrix
acceldata$demo: matrix
Details
PA
an N by T matrix including activity counts, where N is the total number of daily profiles, and T is the total minutes of a day (N=1526, T=1440).
label
an N by 2 matrix including the labels corresponding to PA matrix. The first column, label[,1], includes the person id, and the second column, label[,2], includes the day label of 1 to 7, indicating Sunday to Saturday.
flag
an N by T matrix with the values of either 1 or 0 which indicating wearing or missing. This matrix can be created from create.flag().
demo
an n by p matrix (or dataframe) where n is the total number of subject (n=218). The first column must include the unique person id, which equals to unique(label[,1]). From the second column to p-th column, one may include the demographic variables of intrest, for example, age, sex, body mass index, and race. These variables will be used as covariates in the imputation model.
Note
This data format is strongly recommended for proceeding the missing value imputation from this package.