csong@42: library(ggplot2)
csong@42: 
csong@42: df <- read.csv("newall.csv", header = T)
csong@42: 
csong@42: t<-theme(
csong@42:   plot.background = element_blank(), 
csong@47:   panel.grid.major = element_blank(),
csong@47:   panel.grid.minor = element_blank(), 
csong@42:   panel.border = element_blank(), 
csong@42:   panel.background = element_blank(),
csong@42:   axis.line = element_line(size=.5),
csong@47:   axis.title.x = element_blank(),
csong@47:   axis.title.y = element_blank(),
csong@47:   #axis.title.x = element_text(family="sans", color="black", size=15, vjust = -0.7),
csong@47:   #axis.title.y = element_text(family="sans", color="black", size=15, vjust = 0.4),
csong@47:   #legend.position = "none"
csong@42:  )
csong@42: 
csong@47: xbreaks <- c(1,16,28,64,111)
csong@47: ybreaks <- c(0,1,1.5,2.5,3,4,4.5,5.5,6,7,7.5,8.5,9,10)
csong@42: 
csong@47: p <- qplot(Index,Syncopation, data = df, geom = c("point","line"), color = Model)+ scale_x_continuous(breaks=xbreaks) + scale_y_continuous(breaks= ybreaks)+ t
csong@47: 
csong@47: ggsave(p, file = "predictions.pdf", dpi = 600,useDingbats=FALSE)