prepare_SensIAT_data | R Documentation |
This function prepares the data for SensIAT analysis by transforming it into a format suitable for the SensIAT models.
prepare_SensIAT_data(
data,
id.var,
time.var,
outcome.var,
End,
add.terminal.observations = TRUE
)
data |
A data frame containing the data to be prepared. |
id.var |
The variable in |
time.var |
The variable in |
outcome.var |
The variable in |
End |
The end time for the analysis. Observations with time greater than |
add.terminal.observations |
Logical indicating whether to add terminal observations to the data ( |
A data frame with the following transformations:
Data filtered to time less than or equal to End
.
Observations are arranged by id.var
and time.var
.
Terminal observations added if add.terminal.observations
is TRUE
,
with ..time..
set to End
and ..outcome..
set to NA
, if the
subject has less observations than the maximum number of observations.
New variables created:
..id..
aliases id.var
,
..time..
aliases time.var
,
..outcome..
aliases outcome.var
,
..visit_number..
is the visit number within each subject derived from time.var
,
..prev_outcome..
, i.e. lag-outcome, the outcome from the previous visit,
..prev_time..
, i.e. lag-time, the time from the previous visit,
..delta_time..
, the difference in time between the current and previous visit.
prepare_SensIAT_data( SensIAT_example_data, Subject_ID, Time, Outcome, 830)
exdata <- tibble::tibble(ID=rep(1:2, c(3,5)),
Time=c(0, 30, 60,
0, 30, 60, 90, 120),
Outcome=floor(runif(8, 1, 100)))
prepare_SensIAT_data(exdata, ID, Time, Outcome, 120)
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