Summarize individual parameter values and covariates
Source:R/cov.summary.R
, R/parm.summary.R
par_cov_summary.Rd
These functions produce tables, printed to the screen, summarizing the individual parameter values or covariates from a dataset in Xpose 4.
Usage
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,
...
)
Arguments
- 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
xsubset
.- 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
"Default"
then a default title is plotted. Otherwise the value should be a string like"my title"
orNULL
for no plot title.- 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
Data
andSData
.- max.plots.per.page
Maximum plots per page.
Value
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.
See also
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()
Examples
parm.summary(simpraz.xpdb)
#>
#> +----+---------------+------+----------+-----------+---------+----------------+--+
#> | | Mean| SD| Q1| Median| Q3| Range| N|
#> +----+---------------+------+----------+-----------+---------+----------------+--+
#> |ETA3|-0.073881265625|0.6318|-0.3498325| 0.035202|0.3588275| -1.9354-1.0009|64|
#> +----+---------------+------+----------+-----------+---------+----------------+--+
#> |ETA2|-0.007861181875| 0.349| -0.2862| 0.021967|0.1990975| -0.78827-0.7406|64|
#> +----+---------------+------+----------+-----------+---------+----------------+--+
#> |ETA1|0.0075852046875|0.4507|-0.4011075|-0.00122495| 0.37004|-0.70969-0.91423|64|
#> +----+---------------+------+----------+-----------+---------+----------------+--+
#> | KA| 1.5882046875|0.8672| 1.0169925| 1.49455| 2.065375| 0.20826-3.925|64|
#> +----+---------------+------+----------+-----------+---------+----------------+--+
#> | V| 80.900546875| 28.77| 57.683| 78.503| 93.7155| 34.914-161.06|64|
#> +----+---------------+------+----------+-----------+---------+----------------+--+
#> | CL| 19.810528125| 9.374| 11.884| 17.7265| 25.69625| 8.7284-44.279|64|
#> +----+---------------+------+----------+-----------+---------+----------------+--+