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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