Hi,
Sorry but I am not able to reproduce the plot with your code.
I could change two sentences which got an error (highlighted the changes):
#------------------------ Change 1
key1 <-
draw.key(list(text=list(levels(*as.factor*(Cal_dat$Cmmdty))),
#------------------------ Change 2
ave_dat<-aggregate(*Rsrc_Gt ~Yr, data=cal_dat, mean*)
But even with these two corrections I got this error when creating the plot:
Error en grid.Call.graphics("L_setviewport", pvp, TRUE) :
'getCharCE' must be called on a CHARSXP
I could get a graphic but skipping pch, fill and scales variables in the
panel function.
Regards,
Carlos Ortega
www.qualityexcellence.es
On Fri, Sep 16, 2011 at 4:13 AM, markm0705 <markm0...@gmail.com> wrote:
> Dear Carlos
>
> Attached is attempt at getting your scales suggestion to work (which at the
> moment does not)
> - I'm hoping you have the time to assist again
>
> (data file correctly attached this time).
>
>
> Thanks in advance
>
> Mark M
>
>
>
>
>
>
> On Thu, Sep 15, 2011 at 11:30 PM, Carlos Ortega [via R] <
> ml-node+s789695n3815937...@n4.nabble.com> wrote:
>
> > Hi,
> >
> > You can use scales() and parametrize it with a list where you can define
> > colors, fonts, etc.
> >
> > I could not test it on your code because variable "Commodity" is not
> > present
> > in the dataset you provided.
> >
> > Regards,
> > Carlos Ortega
> > www.qualityexcellence.es
> >
> > On Thu, Sep 15, 2011 at 11:03 AM, markm0705 <[hidden email]<
> http://user/SendEmail.jtp?type=node&node=3815937&i=0>>
> > wrote:
> >
> > > Dear R helpers
> > >
> > > I would like to be able to colour code the y-axis labels on a complex
> dot
> >
> > > plot by a variable known as company (of which there are only two). The
> > > code
> > > is below and data attached.
> > >
> > > Thanks
> > >
> > > MarkM
> > >
> > > library("lattice")
> > > library(latticeExtra) # for mergedTrellisLegendGrob()
> > >
> > > # set size of the window
> > > windows(height=10, width=7,rescale=c("fixed"))
> > >
> > > ##read the data to a variable
> > >
> > >
> >
> #----------------------------------------------------------------------------------------
> >
> > >
> > > Cal_dat <- read.table("Calibration2.dat",header = TRUE,sep = "\t",)
> > >
> > > ## set up plotting colours
> > >
> > >
> >
> #----------------------------------------------------------------------------------------
> >
> > > # Colours for the six commodity
> > >
> > > col.pat<-c("violet","cyan","green","red","blue","black","yellow")
> > >
> > > # Circles squares and diamond symbols for the year
> > > sym.pat<-c(19,20,21)
> > >
> > > ##set up the plot key
> > >
> > >
> >
> #----------------------------------------------------------------------------------------
> >
> > > # key for commodities
> > > # defaults
> > > bord.col<-"grey90"
> > > trans.fac<-0.9
> > > sym.siz<-1.8
> > >
> > > key1 <-
> > > draw.key(list(text=list(levels(Cal_dat$Commodity)),
> > > title="Ore type",
> > > border =bord.col,
> > > background = bord.col,
> > > alpha.background=trans.fac,
> > > just=1,
> > > points=list(pch=22, cex=sym.siz, fill=col.pat,
> > > col="transparent")),
> > > draw = FALSE)
> > > key2 <-
> > > draw.key(list(text=list(levels(factor(Cal_dat$Year))),
> > > title="Year",
> > > border = bord.col,
> > > background = bord.col,
> > > alpha.background=trans.fac,
> > > just=1,
> > > points = list(pch = c(21, 22, 23), cex=sym.siz,
> > > col="black")),
> > > draw = FALSE)
> > >
> > > mkey <-
> > > mergedTrellisLegendGrob(list(fun = key2),
> > > list(fun = key1),
> > > vertical = FALSE
> > > )
> > >
> > > ##set some parameters for the plot
> > >
> > >
> >
> #----------------------------------------------------------------------------------------
> >
> > > trellis.par.set(
> > > dot.line=list(col = "grey95", lty=1),
> > > axis.line=list(col = "grey50"),
> > > axis.text=list(col ="grey50", cex=0.8),
> > > panel.background=list(col="transparent")
> > > )
> > >
> > > ## Create the dot plot
> > >
> > >
> >
> #----------------------------------------------------------------------------------------
> >
> > > # some mean values for reference lines first
> > >
> > > ave_dat<-aggregate(Cal_dat$Resc_Gt, by = list(Cal_dat$Year),mean)
> > >
> > > # create the plot
> > >
> > > with(Cal_dat,
> > > dotplot(reorder(paste(Mine,Company), Resc_Gt) ~ Resc_Gt,
> > > fill_var = Commodity,
> > > pch_var = factor(Year),
> > > xlab_var = factor(Company),
> > > pch = c(21, 22, 23),
> > > cex=sym.siz,
> > > col = "black",
> > > fill = col.pat,
> > > alpha=0.6,
> > > legend = list(inside = list(fun = mkey,corner = c(0.97,
> > 0.06))),
> > > scales = list(x = list(log = 10)),
> > > xscale.components = xscale.components.log10ticks,
> > > origin = 0,
> > > type = c("p","a"),
> > > main = "Mineral resources",
> > > xlab= "Total tonnes (billions)",
> > > panel = function(x, y, ..., subscripts,
> > > fill, pch, fill_var, pch_var) {
> > > pch <- pch[pch_var[subscripts]]
> > > fill <- fill[fill_var[subscripts]]
> > > panel.ablineq(v=log(ave_dat[1,2]),col="grey60",
> lty=1,
> >
> > > rotate=
> > > TRUE,label="2002", at=0.40)
> > > panel.ablineq(v=log(ave_dat[2,2]),col="grey60",
> lty=1,
> >
> > > rotate=
> > > TRUE,label="2009", at=0.50)
> > > panel.ablineq(v=log(ave_dat[3,2]),col="grey60",
> lty=1,
> >
> > > rotate=
> > > TRUE,label="2010", at=0.60)
> > > panel.dotplot(x, y, pch = pch, fill = fill, ...)
> > >
> > > }))
> > http://r.789695.n4.nabble.com/file/n3815044/Calibration.dat
> > > Calibration.dat
> > >
> > > --
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