These functions allow for the changing of Xpose variable definitions like "idv" and "dv". These variable definitions are used to refer to columns of the observed data in a generic way, so that generic plotting functions can be created.
change.xvardef(
object,
var = ".ask",
def = ".ask",
listall = TRUE,
classic = FALSE,
check.var = FALSE,
...
)
change.xvardef(
object,
var,
listall = FALSE,
classic = FALSE,
check.var = FALSE,
...
) <- valueAn xpose.data object.
The Xpose variable you would like to change or add to the current
object. A one-element character vector (e.g. "idv"). If
".ask" the user will be prompted to input a value.
A vector of column names from NONMEM table files
(names(object@Data)) that should be associated with this variable
(e.g. c("TIME")). Multiple values are allowed. If ".ask" the
user will be prompted to input values.
Should the function list the database values?
Is the function being used from the classic interface. This is an internal option.
Should the variables be checked against the current variables in the object?
Items passed to functions within this function.
a vector of values
If called from the the command line then this function returns an xpose database. If called from the classic interface this function updates the current xpose database (.cur.db).
change.xvardef(
object,
var,
listall = FALSE,
classic = FALSE,
check.var = FALSE,
...
) <- value: Change the covariate scope of
the xpose database object
The default xpose variables are:
Individual identifier column in dataset
values used for plotting ID values on data points in plots
The occasion variable
The dv variable
The pred variable
The ipred variable
The wres variable
The cwres variable
The res variable
The parameters in the database
The covariates in the database
The random parameters in the database
## Here we load the example xpose database
xpdb <- simpraz.xpdb
# Change the "id" variable to point to "PRED" in the xpose object
xpdb <- change.xvardef(xpdb,var="id",def="PRED")
# Check the value of the "id" variable
xvardef("id",xpdb)
#> [1] "PRED"
# Change the "idv" variable
change.xvardef(xpdb,var="idv") <- "TIME"
# Change the covariate scope
change.xvardef(xpdb,var="covariates") <- c("SEX","AGE","WT")
if (FALSE) { # \dontrun{
# Use the interactive capabilities of the function
xpdb <- change.xvardef(xpdb)
} # }