Functions changing variable definitions in Xpose 4
Source:R/change.ab.graph.par.R, R/change.bw.graph.par.R, R/change.cond.graph.par.R, and 6 more
change_graphical_parameters.RdThese functions allow customization of Xpose's graphics settings.
Usage
change.ab.graph.par(object, classic = FALSE)
change.bw.graph.par(object, classic = FALSE)
change.cond.graph.par(object, classic = FALSE)
change.dil.graph.par(object, classic = FALSE)
change.label.par(object, classic = FALSE)
change.lm.graph.par(object, classic = FALSE)
change.misc.graph.par(object, classic = FALSE)
change.pi.graph.par(object, classic = FALSE)
change.smooth.graph.par(object, classic = FALSE)Value
An xpose.data object (classic == FALSE) or null
(classic == TRUE).
Details
Settings can be saved and loaded using export.graph.par and
import.graph.par, respectively.
Functions
change.ab.graph.par(): change settings for the line of identity.change.bw.graph.par(): sets preferences for box-and-whisker plotschange.cond.graph.par(): sets preferences for conditioningchange.dil.graph.par(): responsible for dilution preferenceschange.label.par(): responsible for labelling preferenceschange.lm.graph.par(): responsible for linear regression lines.change.misc.graph.par(): sets basic graphics parameters, including plot type, point type and size, colour, line type, and line width.change.pi.graph.par(): responsible for prediction interval plotting preferenceschange.smooth.graph.par(): sets preferences for loess smooths.
See also
xpose.plot.default,xpose.panel.default,
xpose.plot.bw,xpose.panel.bw,
xpose.plot.default,import.graph.par,
export.graph.par,plot.default,
par,import.graph.par,panel.abline,
panel.lmline,lm,panel.loess,
loess.smooth,loess,panel.bwplot,
shingle,reorder.factor
Other data functions:
add_transformed_columns,
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()
Examples
if (FALSE) { # \dontrun{
## 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)
## Change default miscellaneous graphic preferences
xpdb5 <- change.misc.graph.par(xpdb5)
## Change default linear regression line preferences, creating a new
## object
xpdb5.a <- change.lm.graph.par(xpdb5)
## Change conditioning preferences
xpdb5 <- change.cond.graph.par(xpdb5)
} # }