require(plyr)
## Loading required package: plyr
require(ggplot2)
## Loading required package: ggplot2
require(scales)
## Loading required package: scales
require(grid)
## Loading required package: grid
require(gtable)
## Loading required package: gtable
grid.newpage()
p1<-ggplot(data=oysbay, aes(x=Date, weight=Percent, colour=Pop, fill=Pop))+
geom_bar(binwidth=10, position=position_dodge())+
theme(axis.text.x=element_text(angle=90, size=10, vjust=0.5))+
scale_colour_manual(values=c("blue","purple","orange"),labels=c("Dabob","Fidalgo","Oyster Bay"))+
scale_fill_manual(values=c("blue","purple","orange"),labels=c("Dabob","Fidalgo","Oyster Bay"))+
labs(x="Sample Date", y="Percent Brooding",title="Percent Brooding vs. Temperature")+
theme_bw()+
theme(legend.justification=c(0,1),
legend.position=c(0,1),
plot.title=element_text(size=30,vjust=1),
axis.text.x=element_text(size=20),
axis.text.y=element_text(size=20),
axis.title.x=element_text(size=20),
axis.title.y=element_text(size=20))
oysy1edit<-read.csv("TempData/oysY1fixed.csv")
oysy1edit$Date<-as.Date(oysy1edit$Date, "%m/%d/%Y")
oysmintemp<-ddply(oysy1edit,.(Date),summarise,min_temp=min(Temp,na.rm=T))
oysmintemprep<-subset(oysmintemp, Date>="2014-05-01"& Date<="2014-08-07")
p2<-ggplot()+geom_line(data=oysmintemprep,
aes(x=Date, y=min_temp), color="red")+
geom_hline(yintercept=12.5, color="forestgreen")+
theme_bw() %+replace%
theme(panel.background = element_rect(fill = NA),
panel.grid.major.x=element_blank(),
panel.grid.minor.x=element_blank(),
panel.grid.major.y=element_blank(),
panel.grid.minor.y=element_blank(),
axis.text.y=element_text(size=20,color="red"),
axis.title.y=element_text(size=20))
g1<-ggplot_gtable(ggplot_build(p1))
g2<-ggplot_gtable(ggplot_build(p2))
pp<-c(subset(g1$layout,name=="panel",se=t:r))
g<-gtable_add_grob(g1, g2$grobs[[which(g2$layout$name=="panel")]],pp$t,pp$l,pp$b,pp$l)
ia<-which(g2$layout$name=="axis-l")
ga <- g2$grobs[[ia]]
ax <- ga$children[[2]]
ax$widths <- rev(ax$widths)
ax$grobs <- rev(ax$grobs)
ax$grobs[[1]]$x <- ax$grobs[[1]]$x - unit(1, "npc") + unit(0.15, "cm")
g <- gtable_add_cols(g, g2$widths[g2$layout[ia, ]$l], length(g$widths) - 1)
g <- gtable_add_grob(g, ax, pp$t, length(g$widths) - 1, pp$b)
grid.draw(g)
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)