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- Manually setting group colors for ggplot2 1 answer
This is my sample data
table1
xaxis yaxis ae work
1 5 35736 Attending_Education Working
2 6 72286 Attending_Education Working
3 7 133316 Attending_Education Working
4 8 252520 Attending_Education Working
5 9 228964 Attending_Education Working
6 10 504676 Attending_Education Working
This is the code i had used.
p<-ggplot(table1,aes(x=table1$xaxis,y=table1$yaxis))
Economic_Activity<-factor(table1$work)
Education_Status<-factor(table1$ae)
p<-p+geom_point(aes(colour=Education_Status,shape=Economic_Activity),size=4)
p+xlab("Population Ages")+ylab("Attending Education Institutions Count")+ggtitle("Attending Educational Institutions by Economic Activity Status :: INDIA 2001")
This is the output i got.
I Wish to do two things in this graph.
i wish to set color manually to this categorical variables (Attending_Education\Not_AE). For example. Dark Green color for Attending_Education and red color for Not_AE.
In the legend of economic activity, i don't need black color for working\not_working category. i need the Dark green and red color.
iam new to R. i had tried palette() too found @ below link. but nothing seems to work How to assign specfic colours to specifc categorical variables in R?
Note: please look at my requirements.
Categories Attending_Education Not_AE
Working Green color\Round Shape Red Color\Round shape
Not_Working Green color\Triangle Shape Red Color\Triangle shape
Your help is appreciated. Thanking u all.