require(ggplot2) require(grid) theme_update(panel.background=theme_blank(), panel.grid.major=theme_blank(), panel.border=theme_blank()) #Borrowed (i.e. stollen) from http://research.stowers-institute.org/efg/R/Color/Chart/ColorChart.R getColorHexAndDecimal <- function(color) { if(is.na(color)) { return(NA) } else { c <- col2rgb(color) return(sprintf("#%02X%02X%02X %3d %3d %3d", c[1],c[2],c[3], c[1], c[2], c[3])) } } #Symbols ggplot(data=data.frame(x=c(0:25))) + geom_point(size=10, aes(x=x,y=x,shape=x)) + facet_wrap(~ x, scales='free') + xlab('') + ylab('') + scale_shape_identity() + opts(axis.text.x=theme_blank(), axis.text.y=theme_blank(), axis.ticks=theme_blank(), legend.position='none') ggsave('symbols.png') #Line types ggplot(data=data.frame(x=c(1:6))) + geom_hline(size=2, aes(yintercept=x, linetype=x)) + scale_linetype_identity() + xlab(NULL) + ylab(NULL) + xlim(c(0,100)) + opts(axis.text.x=theme_blank(), axis.ticks=theme_blank(), legend.position='none') ggsave('linetypes.png') #Colors df = data.frame(x=rep(1:26, 26), y=rep(1:26, each=26)) df$c = NA df[1:length(colors()),'c'] = colors() df$n = NA df[1:length(colors()),'n'] = 1:length(colors()) df$r = df$g = df$b = NA df[1:length(colors()),c('r','g','b')] = t(col2rgb(colors())) df$text = ifelse(apply(df[,c('r','g','b')], 1, sum) > (255*3/2), 'black', 'white') df$hex = lapply(df$c, getColorHexAndDecimal) df$hex2 = paste(format(df$n, width=3), format(df$c, width=(max(nchar(df$c))+1)), format(df$hex, width=(max(nchar(df$hex))+1))) ggplot(df, aes(x=x, y=y, fill=c, label=n)) + geom_tile() + geom_text(aes(colour=text)) + scale_fill_identity() + scale_colour_identity() + xlab(NULL) + ylab(NULL) + opts(axis.text.x=theme_blank(), axis.ticks=theme_blank(), plot.margin=unit(c(0,0,0,0), "cm"), axis.text.y=theme_blank(), axis.ticks=theme_blank(), legend.position='none') ggsave('colors.png') ggplot(df[1:100,], aes(x=1, y=n, fill=c, label=hex2, colour=text)) + geom_tile() + geom_text(family = 'mono') + scale_fill_identity() + scale_colour_identity() + xlab(NULL) + ylab(NULL) + opts(axis.text.x=theme_blank(), axis.ticks=theme_blank(), plot.margin=unit(c(0,0,0,0), "cm"), axis.text.y=theme_blank(), axis.ticks=theme_blank(), legend.position='none')