Hexabin XY scatter plot and transparent point XY plot R Markdown
# data
set.seed(1234)
x = rnorm(10000, 50, 30)
y = x*0.6 + rnorm (10000, 0, 30)
df <- data.frame(x,y)
library(ggplot2)
ggplot(df,aes(x=x,y=y)) + stat_binhex() + theme_bw()
# vivid colored
ggplot(df,aes(x=x,y=y)) + stat_binhex(colour="white",na.rm=TRUE) + scale_fill_gradientn(colours=c("green1","red"),name = "Frequency",na.value=NA)+ theme_bw()
# plot with transparency
ggplot(df,aes(x=x,y=y)) + geom_point(alpha = 0.3, col = "red") + theme_bw()
# in base
# data
set.seed(1234)
x = rnorm(10000, 50, 30)
y = x*0.6 + rnorm (10000, 0, 30)
df <- data.frame(x,y)
plot(df$x, df$y, pch = 19, cex = 1, col = rgb(0,1,0, alpha = 0.1))
# alpha function to introduce transparency
require(RColorBrewer)
## Carregando pacotes exigidos: RColorBrewer
add.alpha <- function(col, alpha=1){
if(missing(col))
stop("vector of colours missing")
apply(sapply(col, col2rgb)/255, 2,
function(x)
rgb(x[1], x[2], x[3], alpha=alpha))
}
# POINT SIZE AND TRANSPARENCY
plot(df$x, df$y, pch = 19, cex = 0.5, col = add.alpha ("red", 0.2))
set.seed (1234)
Xv <- c(rnorm (500, 10,3), rnorm (500, 50, 20), rnorm (500, 70, 20))
Yv <- c(rnorm (500, 10,3), rnorm (500, 70, 5), rnorm (500, 30, 5))
myd <- data.frame (Xv, Yv )
m <- ggplot(myd, aes(x = Xv, y = Yv)) +
geom_point() + geom_density2d() + theme_bw()