Column-transformation functions for Xpose 4
These functions transform existing Xpose 4 data columns, adding new columns.
add.absval(object, listall = TRUE, classic = FALSE) add.dichot(object, listall = TRUE, classic = FALSE) add.exp(object, listall = TRUE, classic = FALSE) add.log(object, listall = TRUE, classic = FALSE) add.tad(object, classic = FALSE)
object |
An |
listall |
A logical operator specifying whether the items in the database should be listed. |
classic |
A logical operator specifying whether the function should assume the classic menu system. This is an internal option and need never be called from the command line. |
These functions may be used to create new data columns within the Xpose data object by transforming existing ones.
An xpose.data object (classic == FALSE) or null
(classic == TRUE).
add.absval: Create a column containing the absolute values of data
in another column.
add.dichot: Create a categorical data column based on a continuous data column
add.exp: Create an exponentiated version of an existing variable
add.log: Create a log transformation of an existing variable
add.tad: Create a time-after-dose
(TAD) data item based upon the dose and time variables in the dataset.
Niclas Jonsson, Justin Wilkins and Andrew Hooker
Other data functions:
change_graphical_parameters,
change_misc_parameters,
compute.cwres(),
data.checkout(),
data_extract_or_assign,
db.names(),
export.graph.par(),
export.variable.definitions(),
import.graph.par(),
import.variable.definitions(),
make.sb.data(),
nsim(),
par_cov_summary,
read.TTE.sim.data(),
read.nm.tables(),
read_NM_output,
read_nm_table(),
simprazExample(),
tabulate.parameters(),
xlabel(),
xpose.data,
xpose.print(),
xpose4-package,
xsubset()
## Not run: ## xpdb5 is an Xpose data object ## We expect to find the required NONMEM run and table files for run ## 5 in the current working directory xpdb5 <- xpose.data(5) ## Create a column containing the absolute values of data in another ## column add.absval(xpdb5) ## Create a categorical data column based on a continuous data column, ## and do not list variables add.dichot(xpdb5, listall = FALSE) ## Create a column containing the exponentiated values of data in ## another column add.exp(xpdb5) ## Create a column containing log-transformations of data in another ## column add.log(xpdb5) ## Create a time-after-dose column add.tad(xpdb5) ## End(Not run)
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