[R] Odp: Jitter in correlation matrix?
Petr PIKAL
petr.pikal at precheza.cz
Mon Feb 25 09:05:28 CET 2008
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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