CODEWITHSUNDEEP
rggplot2knitr
Sang
Sang

Reputation: 535

ggplot2 figure cache with knitr

I have following code which works as is, but does not work when cache=T Changing device does not make a difference (default, tikz, cairo)

% \SweaveOpts{fig.path=cache/figure/plot-,cache.path=cache/data/data-,fig.align=center,external=TRUE,fig.show=hold,cache=TRUE,echo=FALSE,pdfcrop=TRUE}

<<message=F,fig.width=9,fig.height=6,out.width=\textwidth,cache=F>>=
grid.newpage()
pushViewport(viewport(layout = grid.layout(2,9))) 

d <- ncol(rTSc)
p <- ggplot(melt(coveig),aes(1:d,value,group=variable,col=variable))  + 
  geom_line() + labs(x="index",y="eigenvalue") + 
  opts(legend.position = "none")  
print(p, vp=viewport(layout.pos.row=1,layout.pos.col=1:4))
p <- ggplot(melt(coreig),aes(1:d,value,group=variable,col=variable)) + 
  geom_line() + labs(x="index",y="eigenvalue")
print(p, vp=viewport(layout.pos.row=1,layout.pos.col=5:9))

p <- ggplot(melt(coveig.cs),aes(1:d,value,group=variable,col=variable)) + 
  geom_line() + labs(x="index",y="cumulative eigenvalue") + 
  opts(legend.position = "none")
print(p, vp=viewport(layout.pos.row=2,layout.pos.col=1:4))
p <- ggplot(melt(coreig.cs),aes(1:d,value,group=variable,col=variable)) + 
  geom_line() + labs(x="index",y="cumulative eigenvalue")
print(p, vp=viewport(layout.pos.row=2,layout.pos.col=5:9))
@

Why would this be the case? Any ideas?

Thanks!

Upvotes: 4

Views: 1660

Answers (1)

Brandon Bertelsen
Brandon Bertelsen

Reputation: 44688

Seems like redefining p is what's borking up the cache. Try saving the images as seperate plots, and then push them to the viewport one at a time. (It also makes for clearer code). 

\documentclass[12pt]{article}
\title{Example}

\begin{document}

<<loading,echo=F>>=
library(ggplot2)
library(gridExtra)
@

\section{This is a Section}

<<message=F,fig.width=9,fig.height=6,out.width=\textwidth,cache=T>>=
x <- rnorm(100)
y <- runif(100)
dat <- data.frame(x,y)

grid.newpage()
pushViewport(viewport(layout = grid.layout(2,9))) 

p1 <- ggplot(dat, aes(x,y)) + geom_point()
p2 <- ggplot(dat, aes(y,x)) + geom_point()

print(p1, vp=viewport(layout.pos.row=1,layout.pos.col=1:9))
print(p2, vp=viewport(layout.pos.row=2,layout.pos.col=1:9))
@

\end{document}

Upvotes: 5

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