Prepare VPC data for future calculations by standardizing column names and modifying the input data based on the limits of quantification, stratification, and logarithmic values.
Source:R/format_vpc_input_data.R
format_vpc_input_data.RdPrepare VPC data for future calculations by standardizing column names and modifying the input data based on the limits of quantification, stratification, and logarithmic values.
Usage
format_vpc_input_data(
dat,
cols,
lloq,
uloq,
stratify,
log_y,
log_y_min,
what = "observed",
verbose = FALSE,
pred_corr = FALSE
)
format_vpc_input_data_tte(
dat,
cols,
stratify,
rtte,
rtte_calc_diff,
what = "observed",
verbose = FALSE
)Arguments
- dat
An input data.frame or similar object
- cols
A list with an element for colname giving the name for colname in
dat.- lloq
Number or NULL indicating lower limit of quantification. Default is NULL.
- uloq
Number or NULL indicating upper limit of quantification. Default is NULL.
- stratify
character vector of stratification variables. Only 1 or 2 stratification variables can be supplied.
- log_y
Boolean indicting whether y-axis should be shown as logarithmic. Default is FALSE.
- log_y_min
minimal value when using log_y argument. Default is 1e-3.
- what
The description of the data (typically "observed" or "simulated")
- verbose
show debugging information (TRUE or FALSE)
- pred_corr
perform prediction-correction?
- rtte
repeated time-to-event data? Default is FALSE (treat as single-event TTE)
- rtte_calc_diff
recalculate time (T/F)? When simulating in NONMEM, you will probably need to set this to TRUE to recalculate the TIME to relative times between events (unless you output the time difference between events and specify that as independent variable to the vpc_tte() function.