xpose.VPC.categorical: Xpose visual predictive check for categorical data.

Description Usage Arguments Author(s) See Also Examples

Description

Xpose visual predictive check for categorical data (binary, ordered categorical and count data).

Usage

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
xpose.VPC.categorical(vpc.info = "vpc_results.csv", vpctab = dir(pattern =
  "^vpctab")[1], object = NULL, subset = NULL, main = "Default",
  main.sub = "Default", main.sub.cex = 0.85, real.col = 4,
  real.lty = "b", real.cex = 1, real.lwd = 1, median.line = FALSE,
  median.col = "darkgrey", median.lty = 1, ci.lines = FALSE,
  ci.col = "blue", ci.lines.col = "darkblue", ci.lines.lty = 3,
  xlb = "Default", ylb = "Proportion of Total",
  force.x.continuous = FALSE, level.to.plot = NULL,
  max.plots.per.page = 1, rug = TRUE, rug.col = "orange",
  censored = FALSE, ...)

Arguments

vpc.info

Name of PSN file to use. File will come from VPC command in PsN.

vpctab

Name of vpctab file produced from PsN.

object

Xpose data object.

subset

Subset of data to look at.

main

Title for plot.

main.sub

Used for names above each plot when using multiple plots. Should be a vector, e.g. c("title 1","title 2").

main.sub.cex

Size of main.sub

real.col

Color of real line.

real.lty

Real line type.

real.cex

Size of real line.

real.lwd

Width of real line.

median.line

Dray a median line?

median.col

Color of median line.

median.lty

median line type.

ci.lines

Lines marking confidence interval?

ci.col

Color of CI area.

ci.lines.col

Color of CI lines.

ci.lines.lty

Type of CI lines.

xlb

X-axis label. If other than "default"" passed directly to xyplot.

ylb

Y-axis label. Passed directly to xyplot.

force.x.continuous

For the x variable to be continuous.

level.to.plot

Which levels of the variable to plot. Smallest level is 1, largest is number_of_levels. For example, with 4 levels, the largest level would be 4, the smallest would be 1.

max.plots.per.page

The number of plots per page.

rug

Should there be markings on the plot showing where the intervals for the VPC are?

rug.col

Color of the rug.

censored

Is this censored data? Censored data can be both below and above the limit of quantification.

...

Additional information passed to function.

Author(s)

Andrew C. Hooker

See Also

xpose.VPC.both.

Other specific functions: absval.cwres.vs.cov.bw, absval.cwres.vs.pred.by.cov, absval.cwres.vs.pred, absval.iwres.cwres.vs.ipred.pred, absval.iwres.vs.cov.bw, absval.iwres.vs.idv, absval.iwres.vs.ipred.by.cov, absval.iwres.vs.ipred, absval.iwres.vs.pred, absval.wres.vs.cov.bw, absval.wres.vs.idv, absval.wres.vs.pred.by.cov, absval.wres.vs.pred, absval_delta_vs_cov_model_comp, addit.gof, autocorr.cwres, autocorr.iwres, autocorr.wres, basic.gof, basic.model.comp, cat.dv.vs.idv.sb, cat.pc, cov.splom, cwres.dist.hist, cwres.dist.qq, cwres.vs.cov, cwres.vs.idv.bw, cwres.vs.idv, cwres.vs.pred.bw, cwres.vs.pred, cwres_wres_vs_x, dOFV.vs.cov, dOFV.vs.id, dOFV1.vs.dOFV2, data.checkout, dv.preds.vs.idv, dv.vs.idv, dv.vs.ipred.by.cov, dv.vs.ipred.by.idv, dv.vs.ipred, dv.vs.pred.by.cov, dv.vs.pred.by.idv, dv.vs.pred.ipred, dv.vs.pred, gof, ind.plots.cwres.hist, ind.plots.cwres.qq, ind.plots, ipred.vs.idv, iwres.dist.hist, iwres.dist.qq, iwres.vs.idv, kaplan.plot, par_cov_hist, par_cov_qq, parm.vs.cov, parm.vs.parm, pred.vs.idv, ranpar.vs.cov, runsum, wres.dist.hist, wres.dist.qq, wres.vs.idv.bw, wres.vs.idv, wres.vs.pred.bw, wres.vs.pred, xpose.VPC.both, xpose.VPC, xpose4-package

Other PsN functions: boot.hist, bootscm.import, npc.coverage, randtest.hist, read.npc.vpc.results, read.vpctab, xpose.VPC.both, xpose.VPC, xpose4-package

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
## Not run: 
library(xpose4)

## move to the directory where results from PsN
## are found
cur.dir <- getwd()
setwd(paste(cur.dir,"/binary/vpc_36",sep=""))

xpose.VPC.categorical(level.to.plot=1,max.plots.per.page=4)
xpose.VPC.categorical(level.to.plot=1,max.plots.per.page=4,by="DOSE")

## ordered categorical plots
setwd(paste(cur.dir,"/ordered_cat/vpc_45",sep=""))
xpose.VPC.categorical()


## count
setwd(paste(cur.dir,"/count/vpc65b",sep=""))
xpose.VPC.categorical()

setwd(paste(cur.dir,"/count/vpc65a",sep=""))
xpose.VPC.categorical()


## End(Not run)

UUPharmacometrics/xpose4 documentation built on April 3, 2018, 12:05 p.m.