<geom_bar(stat="identity")>
When using bar graph, you cannot have both variable x and y in the graph.
> ggplot(data=msleep2,aes(x=vore,y=mean_sleep))+geom_bar()
Error: stat_count() can only have an x or y aesthetic.
Generally, y-axis of bar graph automatically becomes 'counts'. You can make the bar_graph having variables for x-axis and y-axis by using geom_bar(stat="identity)
variable x and count - geom_bar() |
variable x and y - geom_bar(stat="identity") |
>library(ggplot2) > ggplot(data=msleep,aes(x=vore))+geom_bar() |
>library(ggplot2) >library(dplyr) >msleep2<-msleep%>%group_by(vore)%>%summarise(mean_sleep=mean(sleep_total)) > ggplot(data=msleep2,aes(x=vore,y=mean_sleep))+geom_bar(stat="identity") |
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<geom_bar(stat="identity") VS geom_col()>
geom_bar(stat="identity") |
geom_col() |
>ggplot(data=msleep2,aes(x=vore,y=mean_sleep))+geom_bar(stat="identity")
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>ggplot(data=msleep2,aes(x=vore,y=mean_sleep))+geom_col()
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when the variable x is numeric. > str(mpg$cyl) int [1:234] 4 4 4 4 6 6 6 4 4 4 ... > table(mpg$cyl) 4 5 6 8 81 4 79 70 > cyl_hwy<-mpg%>%group_by(cyl)%>%summarise(mean_hwy=mean(hwy)) > ggplot(data=cyl_hwy,aes(x=cyl,y=mean_hwy))+geom_bar(stat="identity")
> ggplot(data=cyl_hwy,aes(x=factor(cyl),y=mean_hwy))+geom_bar(stat="identity")
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when the variable x is numeric. > str(mpg$cyl) int [1:234] 4 4 4 4 6 6 6 4 4 4 ... > table(mpg$cyl) 4 5 6 8 81 4 79 70 >cyl_hwy<-mpg%>%group_by(cyl)%>%summarise(mean_hwy=mean(hwy)) > ggplot(data=cyl_hwy,aes(x=cyl,y=mean_hwy))+geom_col()
> ggplot(data=cyl_hwy,aes(x=factor(cyl),y=mean_hwy))+geom_col()
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