Created
December 29, 2018 20:47
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Simple Beeswarm Plot as Experiment
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install.packages("beeswarm") | |
library(beeswarm) | |
library(tidyverse) | |
library(scales) | |
df <- tibble( | |
x = sample(x=c(2,6,17,24,25), size=3000, replace=T), | |
#x = sample(x=c(1,10,13,16,19,20,21), size=3000, replace=T), | |
y = rbeta(3000,2,5), | |
hex = as.character(cut_number(y,n=10,labels=viridis_pal()(10))), | |
fill = ifelse(rbinom(3000,1,prob=0.2),"#000000","#ffffff20") | |
) | |
cairo_pdf(filename="Test2.pdf", width=16, height=9, bg="#000000de", | |
pointsize=12) | |
par(ann=FALSE, mar=c(0,0,0,0), bg="black") | |
beeswarm(y~x, data=df, method="swarm", | |
pwcol = df$hex, pch=sort(unique(df$x)), | |
pwbg=df$fill) | |
dev.off() | |
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