#plot. = element_line(colour = "white", size=0), Panel.border = element_rect(colour = "black", fill="NA", size=1), Theme(panel.background = element_rect(fill = NA), Scale_shape_manual(breaks = PlotSymbol, values=PlotSymbolShape)+ Scale_fill_manual(breaks = PlotSymbol, values=PlotSymbolColor)+ Geom_point(data=Data_withn5, aes(x=F_carb_variable, y=F_sulf_variable, size=value,įill=as.factor(Symbol), shape=as.factor(Symbol)), alpha=.7)+ Geom_contour(data=all_ns_CO2_subset, aes(x=Var1, y=Var2, z=value),breaks=c(contours))+ Geom_tile(data=all_ns_CO2_subset, aes(x=Var1, y=Var2, fill=value))+ Labs(x=xtitle, y=ytitle, size=sizetitle)+ #' It changes the name of the aesthethic for the previous layers, appending
#' Special behaviour of the "+" for adding a `new_aes` object
You'll have to get them to agree on a guide type in order to combine them. functions we can now manually override the fill and color schemes in a flexible way. Structure( ggplot2 ::standardise_aes_names( new_aes), class = "new_aes ") But in this case the legends are different types by default: the fill guide is a 'colourbar', and the size guide is a 'legend' (NB: a legend in ggplot2 is a type of guide that shows the scale at a few discrete levels). #' new_aes character with the aesthetic for which new scales will be # If you have any issues, I prefer it if you send them as issues here: # All this is implemented (plus bugfixes!) in the ggnewscale package:
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