#
data
set.seed(1234)
bimodal
<- c(rnorm(250, -2, 0.6), rnorm(250, 2, 0.6))
uniform
<- runif(500, -4, 4)
normal
<- rnorm(500, 0, 1.5)
dataf
<- data.frame (group = rep(c("bimodal","uniform",
"normal"), each = 500), xv = c(bimodal, uniform, normal), cg = rep(
c("A","B"), 750))
require(beeswarm)
method = 'swarm',pch = 16, pwcol = as.numeric(cg),xlab = '', ylab = 'xv', labels = c('bimodal', 'uniform', 'normal'))# center
beeswarm(xv ~ group, data = dataf,method ='center',pch = 16, pwcol = as.numeric(cg),xlab ='', ylab ='xv',labels = c('bimodal','uniform', 'normal'))# hexagon
beeswarm(xv ~ group, data = dataf,method ='hex',pch = 16, pwcol = as.numeric(cg),xlab ='', ylab ='xv',labels = c('bimodal','uniform', 'normal'))
# square
dataf$col <- as.numeric(dataf$cg)
dataf$col[dataf$col ==1] = "green4"dataf$col[dataf$col ==2] = "purple"beeswarm(xv ~ group, data = dataf,
method ='square',pch = 16, pwcol = col,xlab ='', ylab ='xv',labels = c('bimodal','uniform', 'normal'))


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