A data frame generated using the following code:
SampleFunregData <- generate.data.for.demonstration(nsub = 200,
b0.true = -5,
b1.true = 0,
b2.true = +1,
b3.true = -1,
b4.true = +1,
nobs = 400,
observe.rate = 0.1);
A data frame for a simulated longitudinal study, in "tall" rather than "wide" format (multiple rows per individual, one for each measurement time) with 8109 rows and 13 columns.
Integer uniquely identifying the subject to whom this data row pertains.
Four subject-level (time-invariant) covariates.
A response, coded as 0 or 1, which is to be modeled
using a functional regression. It is also subject-level (i.e.,
either time-invariant or measured only once). However,
s4, its value is repeated for each
row of data for a subject.
The time variable, arbitrarily chosen to range from a low of 0 to a high of 10, which identifies when this row's observations are taken.
The unknown smooth expected values of two time-varying variables which can be treated as functional covariates. They vary by subject and time and are therefore different in each row.
The unknown true functional
regression coefficient function used to generate
y from the two time-varying
predictors. The latter is always zero because x2 is unrelated to y.
The observed values of the two functional regression predictors, as measured for a given time on a given subject.