ggplotScatter = function(d, x, y, diff=FALSE, plot.cor=FALSE){
g=ggplot(d, aes(x=x,y=y)) +
geom_point(color='black', cex=2)
if(diff){
if(!diff %in% colnames(d))
stop(paste(diff, 'is not a designated colnames variable'))
}
g = g + xlab(x) + ylab(y)
g = g + annotate("text", x =min(5), y = max(15), label = paste('cor:', cort), size=10)
g = g + labs(title=name)+
theme(plot.title = element_text(size = rel(2)),
axis.text = element_text(colour = "black", size=rel(2)),
axis.title = element_text(size = rel(2)),
axis.line = element_line(size = rel(3)),
panel.background = element_rect(colour = "white", fill = "white"))
return(g)
}
multiplot <- function(..., plotlist=NULL, file, cols=1, layout=NULL) {
library(grid)
# Make a list from the ... arguments and plotlist
plots <- c(list(...), plotlist)
numPlots = length(plots)
# If layout is NULL, then use 'cols' to determine layout
if (is.null(layout)) {
# Make the panel
# ncol: Number of columns of plots
# nrow: Number of rows needed, calculated from # of cols
layout <- matrix(seq(1, cols * ceiling(numPlots/cols)),
ncol = cols, nrow = ceiling(numPlots/cols))
}
if (numPlots==1) {
print(plots[[1]])
} else {
# Set up the page
grid.newpage()
pushViewport(viewport(layout = grid.layout(nrow(layout), ncol(layout))))
# Make each plot, in the correct location
for (i in 1:numPlots) {
# Get the i,j matrix positions of the regions that contain this subplot
matchidx <- as.data.frame(which(layout == i, arr.ind = TRUE))
print(plots[[i]], vp = viewport(layout.pos.row = matchidx$row,
layout.pos.col = matchidx$col))
}
}
}
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