| filledContourFig {GCDkit} | R Documentation | 
Generates a frequency plot on the basis of the most recently plotted Figaro template.
filledContourFig(palette="heat.colors",grid.density=NULL,overplot=FALSE, xlab=sheet$demo$call$xlab,ylab=sheet$demo$call$ylab, xlim=sheet$demo$call$xlim,ylim=sheet$demo$call$ylim, annotate.fields=FALSE,...)
| palette | character; name of the palette | 
| grid.density | numeric; density of the grid along the x and y axes | 
| overplot | logical; should be the diagram overplotted by the original dataset? | 
| xlab | character vector; label for the x axis | 
| ylab | character vector; label for the y axis | 
| xlim | limits for the x axis | 
| ylim | limits for the y axis | 
| annotate.fields | logical; should be the plotted fields labeled by their names? | 
| ... | additional plotting parameters | 
This is a somewhat modified version of the R function 'filled.contour' 
that produces a frequency plot on the basis of a Figaro template and superimposes, 
if desired, selected data points. 
 
 
The user can specify how many intervals should be each of the axes split 
into ('grid.density'). This corresponds to a density of the grid, 
in which are the individual points classified into. A bit of experimenting 
with this values is usually needed. 
Then a colour scheme ('palette') can be chosen. 
After the frequency plot is generated, selected analyses 
can be plotted on the top ('overplot'). 
None.
Vojtěch Janoušek, vojtech.janousek@geology.cz
'addContours'  'figaro'  'selectPalette'
    sampleDataset("atacazo")
    binary("SiO2","Na2O+K2O",main="My TAS diagram")
    filledContourFig(palette="heat.colors",grid.density=15)
    
    # User-defined palette
    binary("SiO2","Na2O+K2O",main="My TAS diagram")
    my.palette<-colorRampPalette(c("darkred", "red","pink", "white"),space = "rgb")
    filledContourFig(palette="my.palette",grid.density=15,xlim=c(58,70),ylim=c(0,10))