[R] Odp: Jitter in correlation matrix?

[Petr PIKAL]

Hi

Add

sapply(any.data.frame, jitter)

into your function. Either sapply(na.omit(.....), jitter) or 
pairs(sapply(..., jitter), ...)

Regards

Petr
petr.pikal at precheza.cz

r-help-bounces at r-project.org napsal dne 25.02.2008 00:26:27:

> Hi,
> 
> I am just starting to use R for a graduate course, and I like how the
> correlation matrix at
> http://addictedtor.free.fr/graphiques/RGraphGallery.php?graph=137
> 
> I did something similar by copying from the examples(pairs), but it
> seems that I need to jitter the bottom panel...  and I have no idea how
> to do that, and I mean no idea at all. I'd appreciate any help... 
> 
> Here are the graphs: 
> http://socy602.pbwiki.com/f/dep_correlationmatrix.jpeg
> http://socy602.pbwiki.com/f/indep_correlationmatrix.jpeg
> 
> And this is the code I used to produce the graphs (not that I
> understand it, but):
> 
> ######################
> # Primary Component Analyses
> ######################
> 
> ######################
> # Dependent variables
> ######################
> 
> # List of these variables: 
> #  langfamr , ethdifxx , catness , gc7 , gc8r , gc12 , culdifxx , 
poldifxx , ecdifxx 
> ######################
> # Look at correlation matrix for these
> cor(MAR[,c("langfamr" , "ethdifxx" , "catness" , "gc7" , "gc8r" , "gc12" 
, 
> "culdifxx" , "poldifxx" , "ecdifxx" )], use="complete.obs")
> # Big time correlation matrix
>  panel.cor <- function(x, y, digits=2, prefix="", cex.cor)
> {
>     usr <- par("usr"); on.exit(par(usr))
>     par(usr = c(0, 1, 0, 1))
>     r <- abs(cor(x, y))
>     txt <- format(c(r, 0.123456789), digits=digits)[1]
>     txt <- paste(prefix, txt, sep="")
>     if(missing(cex.cor)) cex <- 0.8/strwidth(txt)
>     text(0.5, 0.5, txt, cex = cex * r)
> }
> MAR.omitdep <- na.omit(MAR[,c("langfamr" , "ethdifxx" , "catness" , 
"gc7" , 
> "gc8r" , "gc12" , "culdifxx" , "poldifxx" , "ecdifxx" )])
> pairs(MAR.omitdep[,c("langfamr" , "ethdifxx" , "catness" , "gc7" , 
"gc8r" , 
> "gc12" , "culdifxx" , "poldifxx" , "ecdifxx" )], 
lower.panel=panel.smooth, 
> upper.panel=panel.cor)
> # Save it
> dev.copy(jpeg,filename="dep_correlationmatrix.jpeg",height=600, 
width=800,bg="white")
> dev.off()
> 
> ######################
> # Independent variables
> ######################
> 
> # List of variables
> #  poldis , polres , ecdis , culres , gcc1 
> ######################
> # Look at the correlation matrix
> cor(MAR[,c("poldis" , "polres" , "ecdis" , "culres" , "gcc1" )], 
use="complete.obs")
> # Big time correlation matrix
>  panel.cor <- function(x, y, digits=2, prefix="", cex.cor)
> {
>     usr <- par("usr"); on.exit(par(usr))
>     par(usr = c(0, 1, 0, 1))
>     r <- abs(cor(x, y))
>     txt <- format(c(r, 0.123456789), digits=digits)[1]
>     txt <- paste(prefix, txt, sep="")
>     if(missing(cex.cor)) cex <- 0.8/strwidth(txt)
>     text(0.5, 0.5, txt, cex = cex * r)
> }
> MAR.omitindep <- na.omit(MAR[,c("poldis" , "polres" , "ecdis" , "culres" 
, "gcc1" )])
> pairs(MAR.omitindep[,c("poldis" , "polres" , "ecdis" , "culres" , "gcc1" 
)], 
> lower.panel=panel.smooth, upper.panel=panel.cor)
> # Save it
> dev.copy(jpeg,filename="indep_correlationmatrix.jpeg",height=600, 
width=800,bg="white")
> dev.off()
> 
> Thanks a lot in advance,
> Sincerely,
> Mehmet.
> 
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