par_cov_summary | R Documentation |
These functions produce tables, printed to the screen, summarizing the individual parameter values or covariates from a dataset in Xpose 4.
cov.summary(
object,
onlyfirst = TRUE,
subset = xsubset(object),
inclZeroWRES = FALSE,
out.file = ".screen",
main = "Default",
fill = "gray",
values.to.use = xvardef("covariates", object),
value.name = "Covariate",
...
)
parm.summary(
object,
onlyfirst = TRUE,
subset = xsubset(object),
inclZeroWRES = FALSE,
out.file = ".screen",
main = "Default",
fill = "gray",
values.to.use = xvardef("parms", object),
value.name = "Parameter",
max.plots.per.page = 1,
...
)
object |
An xpose.data object. |
onlyfirst |
Logical value indicating if only the first row per individual is included in the plot. |
subset |
A string giving the subset expression to be applied to the
data before plotting. See |
inclZeroWRES |
Logical value indicating whether rows with WRES=0 are included in the plot. The default is FALSE. |
out.file |
Where the results should be output to. Can be ".screen", ".ask", ".graph" or a filename in quotes. |
main |
The title of the plot. If |
fill |
The color to fill the boxes in the table if the table is printed to ".graph" |
values.to.use |
Which values should be summarized |
value.name |
The name of the values |
... |
Other arguments passed to |
max.plots.per.page |
Maximum plots per page. |
Returned is the matrix of values from the table. parm.summary
and cov.summary
produce summaries of parameters and covariates,
respectively. parm.summary
produces less attractive output but
supports mirror functionality.
parm.summary
and cov.summary
utilize
print.char.matrix
to print the information to the
screen.
cov.summary()
: Covariate summary
parm.summary()
: Parameter summary
Andrew Hooker & Justin Wilkins
Data
, SData
,
xpose.data-class
, print.char.matrix
Other data functions:
add_transformed_columns
,
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()
,
read.TTE.sim.data()
,
read.nm.tables()
,
read_NM_output
,
read_nm_table()
,
simprazExample()
,
tabulate.parameters()
,
xlabel()
,
xpose.data
,
xpose.print()
,
xpose4-package
,
xsubset()
parm.summary(simpraz.xpdb)
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