ggplot2 - climatograph with R and ggplot -

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i climatographe or climat chart using ggplot.

my data 

> data.df    mese temperatura.media pioggia 1   jan              -0.3    46.6 2   feb               2.6    40.9 3   mar               7.1    68.5 4   apr              11.5    72.5 5   may              15.6    92.0 6   jun              19.1    79.6 7   jul              21.4    79.2 8   aug              20.6    81.2 9   sep              17.2    85.4 10  oct              11.3    98.9 11  nov               4.9    93.7 12  dec               0.8    52.1

i have 

data.df$mese<-month(data.df$mese, label = t)  climagg<-ggplot(data=data.df)+   geom_bar(aes(x=mese, y=pioggia),stat = "identity") climagg

that give me

bar plot whit ggplot

but need have 2 axes 1 left , 1 right different range (e.g. climatographe)... it seem not easy ggplot.

so climat chart may easyer ... non axes , using multiplot fonction ggplot 

ggtheme<-theme(strip.text.x = element_text(size=14),                strip.text.y = element_text(size=14),                legend.title = element_text(size=14),                panel.background = element_blank() )  pioggiagg<-ggplot(data=data.df)+   geom_bar(aes(x=mese.asdate, y=pioggia),stat = "identity",fill="#67a9cf")+   geom_text(aes(x=mese.asdate, y=pioggia+3, label=pioggia),size=4)+   theme(axis.text.y=element_blank(),         axis.title.y = element_blank(),         axis.ticks = element_blank(),         axis.title.x = element_text(face="bold", size=12))+   scale_x_discrete("")+   ggtheme pioggiagg  tempgg<-ggplot()+         geom_bar(data=data.df,aes(x=mese.asdate, y=pioggia),stat = "identity",alpha=0)+         geom_bar(data=data.df,aes(x=mese.asdate, y=temp_max),stat = "identity",alpha=0)+         geom_bar(data=data.df,aes(x=mese.asdate, y=temp_mini),stat = "identity",alpha=0)+         geom_rect(data=data.df,stat = "identity",aes(xmin=mese-0.4, xmax=mese+0.4,ymin=temp_mini, ymax=temp_max),fill="#ef8a62")+         geom_text(data=data.df,aes(x=mese.asdate, y=temp_mini-3, label=temp_mini),size=4)+         geom_text(data=data.df,aes(x=mese.asdate, y=temp_max+3, label=temp_max),size=4)+         theme(axis.title.x = element_blank(),               axis.title.y = element_blank(),               axis.ticks = element_blank(),               axis.text.x=element_blank(),               axis.text.y=element_blank())+         ggtheme tempgg  multiplot(tempgg,pioggiagg,cols=1)

that give me

enter image description here


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