r - Can colors and shape be changed on a combined line and point plot while maintaining one legend per graph? -


using following data frame: 

day <- gl(8,1,48,labels=c("mon","tues","wed","thurs","fri","sat","sun","avg")) day <- factor(day, level=c("mon","tues","wed","thurs","fri","sat","sun","avg")) month<-gl(3,8,48,labels=c("jan","mar","apr")) month<-factor(month,level=c("jan","mar","apr"))  snow<-gl(2,24,48,labels=c("y","n")) snow<-factor(snow,levels=c("y","n")) count <-c(.94,.95,.96,.98,.93,.94,.99,.9557143,.82,.84,.83,.86,.91,.89,.93,.8685714,1.07,.99,.86,1.03,.81,.92,.88,.9371429,.94,.95,.96,.98,.93,.94,.99,.9557143,.82,.84,.83,.86,.91,.89,.93,.8685714,1.07,.99,.86,1.03,.81,.92,.88,.9371429) d <- data.frame(day=day,count=count,month=month,snow=snow)

i'd change colors , shapes of lines , points grouped month on following graph: 

library(ggplot2) library(scales)  ggplot(data=d[d$day=="avg",],aes(x=day, y=count, fill=month,group=month,label=month),show_guide=f)+ facet_wrap(~snow,ncol=1,scales="free")+ geom_line(data=d[d$day!="avg",],aes(x=day, y=count, group=month, colour=month), show_guide=f)+ scale_x_discrete(limits=levels(d$day))+ scale_y_continuous(labels = percent)+ geom_point(aes(colour = month),size = 4,position=position_dodge(width=1.2))+ expand_limits(y=0)

enter image description here

  1. how can change colors , shapes (i realize many options exist) of both line graph , points still grouped month?

note: single legend per graph appropriate shape/color desired (bonus points if can figure out how create legend each graph without using grid.arrange).

i believe @thunk has right, there's more problems code. (1) specify fill, don't use geoms take fill. (2) set default aesthetics in first ggplot, needlessly reset them in geoms. (3) want shapes change, never specify shape aesthetic.

i think gives want:

ggplot(data=d[d$day=="avg",],        aes(x=day, y=count, color=month, group=month,            label=month, shape = month), show_guide=f)+     facet_wrap(~snow, ncol=1, scales="free")+     geom_line(data=d[d$day!="avg", ])+     scale_x_discrete(limits=levels(d$day))+     scale_y_continuous(labels = percent)+     geom_point(size = 4, position = position_dodge(width=1.2))+     scale_color_manual(values = c("dodgerblue4", "firebrick4", "forestgreen")) +     expand_limits(y=0)

fixed plot

in first aes call in initial ggplot() specify both color , shape vary month. then, in geom_line , geom_point calls don't need again. adding scale_color_manual() lets pick whatever colors want, (and if want specify shapes, adding scale_shape_manual() work that).

hope helps!


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