growth_incomplete: Berkeley Growth Study data with simulated incompleteness

In registr: Curve Registration for Exponential Family Functional Data

Berkeley Growth Study data with simulated incompleteness

Description

This dataset from the Berkeley Growth Study comprises the height development of 39 boys and 54 girls between ages 1 and 18. It is based on the dataset fda::growth and focuses not on the observed heights, but on the first derivatives of the curves. Before taking the first derivative, the curves were slightly smoothed.

To showcase the functionality of the registr package regarding the analysis of incomplete curves, the growth curves were artificially made incomplete. For each child, leading incompleteness was simulated by drawing a random initial age in the first quarter of the domain. Also, trailing incompleteness was simulated by drawing a random cut-off age in the second half of the domain.

Usage

data(growth_incomplete)

Format

A dataframe made up of

id

A unique subject identifier;

index

Observed age of the child's height;

value

First derivative of the height development in the given age.

References

Ramsay, J. O., and Silverman, B. W. (2006), Functional Data Analysis, 2nd ed., Springer, New York.

Tuddenham, R. D., and Snyder, M. M. (1954). Physical growth of California boys and girls from birth to age 18. University of California Publications in Child Development, 1, 183-364.

registr documentation built on Oct. 3, 2022, 1:05 a.m.