Reputation: 121
I have a data set that appears to have a binomial distribution.
The data is a health related quality of life survey and can be subsetted according to types of training activity
I am wondering if I can overlay a density plot of the data as a whole with density plots of the training activity subsets
The data set is called hrql.scores
and subset of the data with a particular training background is apdj
and a second subset is health.studio
. The test data I want to plot is the column with the heading PCS
I was hoping the following code would work:
ggplot( hrql.scores, aes( x=PCS, y=..density.. )) +
geom_histogram(fill="cornsilk",colour="grey35",binwidth=5) +
geom_density() +
geom_density( apdj, aes( x=PCS ) ) +
geom_density( health.studio, aes( x=PCS ))
But I get the error Error: ggplot2 doesn't know how to deal with data of class uneval
How would I achieve a density plot of the total data set overlaid with the density plots of the subsets?
Upvotes: 1
Views: 701
Reputation: 25638
The help page for ?geom_density
states that the first argument is mapping
, not data
. So the correct usage will be
ggplot(hrql.scores, aes(x=PCS, y=..density..)) +
geom_histogram(fill="cornsilk", colour="grey35", binwidth=5) +
geom_density() +
geom_density(data = apdj) +
geom_density(data = health.studio)
Note that there is no need for additional aes
mapping, since it is inherited from the top ggplot
call.
Upvotes: 1