Dear all.
I think you can try the following (Andy and Niclas, am I right?).
#Read in
xpdb <- xpose.data("xxx")
#Provided ETA1 is the name of your variable in xpdb.
xpdb@Prefs@Labels$ETA1 <- "IIV_CL"
All the best, Siv
Siv Jönsson<http://katalog.uu.se/profile/?id=N96-5738>, PhD
Researcher
Dept of Pharmaceutical Biosciences
Faculty of Pharmacy
Uppsala University
Sweden
Phone: +46 (0)18 471 4315
Private: +46 (0)733 924 657
www.farmbio.uu.se/research/researchgroups/pharmacometrics/<http://www.farmbio.uu.se/research/researchgroups/pharmacometrics/>
From: [email protected] <[email protected]> On Behalf Of
Samuel Callisto
Sent: 18 February 2019 05:48
To: Paul Hutson <[email protected]>
Cc: nmusers <[email protected]>
Subject: Re: [NMusers] Changing axis label in ranram.vs.cov in XPOSE4
Hey Paul,
I found a workaround for this issue. It's not the most elegant, but it might
push you in the right direction for a more elegant solution.
## Save the xyplot that is output by the function
fig <- ranpar.vs.cov(xpdb1, cex=0.5,x.cex=1.5,y.cex=1.5, page.numbers=F,
main=NULL, scales = list(x=list(cex=1.5), y=list(cex=1.5)))
## Create custom list of labels, repeating each for the number of covariates
included
label <- c(rep("IIV_CL",3), rep("IIV_Vc", 3))
## loop through the plots in your saved plot object
for(i in 1:length(fig@plotList)){
## assign the ith y-label to the ith plot
fig@plotList[[i]]$ylab[[1]] <- label[i]
}
## print figure to screen
fig
There is almost certainly a better way of accomplishing this, but this will
work for now. Good luck!
Sam
--
Samuel Callisto
PhD Candidate
Experimental and Clinical Pharmacology
University of Minnesota
717 Delaware St SE; Room 468
Minneapolis, MN 55455
On Fri, Feb 15, 2019 at 5:42 PM Paul Hutson
<[email protected]<mailto:[email protected]>> wrote:
Is there an easy way to change the axis labels in the ranpar.vs.cov routine
(eg., from ETA1 to IIV_CL)
I’ve tried excluding PK parameters and leaving only ETAS in PATAB, and renaming
the ETA column headers to my desired name (eg.,IIV_CL in PATAB), but that
doesn’t work.
I have also have tried
ranpar.vs.cov(xpdb1, cex=0.5,x.cex=1.5,y.cex=1.5,
page.numbers=F, ylb=c("IIV_CL", "IIV_Vc", "IIV_Q", "IIV_Vp"),
main=NULL, scales = list(x=list(cex=1.5),
y=list(cex=1.5)))
The ylb command plants all four labels on every plot.
Paul Hutson, PharmD, BCOP
Professor
UWisc School of Pharmacy
T: 608.263.2496
F: 608.265.5421
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