Hi Michael:
The necessary argument to geom_smooth() is weight, not weights (my
fault, sorry), so try this instead:
ggplot(PearsonLee, aes(x = parent, y = child)) +
geom_point(size = 1.5, position = position_jitter(width = 0.2)) +
geom_smooth(method = lm, aes(weight = frequency,
Thanks very much, Dennis. See below for something I don't understand.
On 10/21/2011 12:15 PM, Dennis Murphy wrote:
Hi Michael:
Here's one way to get it from ggplot2. To avoid possible overplotting,
I jittered the points horizontally by ± 0.2. I also reduced the point
size from the default 2 an
Hi Michael:
Here's one way to get it from ggplot2. To avoid possible overplotting,
I jittered the points horizontally by +/- 0.2. I also reduced the point
size from the default 2 and increased the line thickness to 1.5 for
both fitted curves. In ggplot2, the term faceting is synonymous with
condit
In the HistData package, I have a data frame, PearsonLee, containing
observations on heights of parent and child, in weighted form:
library(HistData)
> str(PearsonLee)
'data.frame': 746 obs. of 6 variables:
$ child: num 59.5 59.5 59.5 60.5 60.5 61.5 61.5 61.5 61.5 61.5 ...
$ parent
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