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
'
data(atacazo) accessVar("atacazo") plotDiagram("TAS",FALSE,TRUE) filledContourFig(palette="heat.colors",grid.density=50) # User-defined palette plotDiagram("TAS",FALSE,TRUE) 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))