I assume you mean:
densityplot(~dat,data=tot,
groups=type,
panel = function(...){
panel.densityplot(...)
panel.abline(v= -4)
panel.text(-3.9, 0.35, "*")
},
par.settings = list(superpose.line = list(col = c("blue","red"))),
xlab="log2
Hi Ana,
Okay, it's the lattice package. Try this:
panel.abline(v=-4)
panel.text(-3.9,0.35,"*")
As I don't have your data I can't provide a complete example.
Jim
On Wed, Feb 12, 2020 at 8:50 AM Ana Marija wrote:
>
> Hi Jim
>
>
> I tried your code and it didn't show me density curves.
>
> Howeve
Hi Jim
I tried your code and it didn't show me density curves.
However I was able to do teh plot myself via:
densityplot(~dat,data=tot,
groups=type,
par.settings = list(superpose.line = list(col = c("blue","red"))),
xlab="log2 (variance)",
plot.points=FALSE,
a
Hi Ana,
Your image didn't make it through (as usual). Try PNG or PDF format.
Assumptions
1) You want to plot two lines using the _paired_ values of inter- and
intra-individual variance.
2) The cases are in the same order in your data
3) You want to identify the two lines
4) You want to place text
Please supply sample data in dput() format See ?dput.
You might find these links helpful.
http://adv-r.had.co.nz/Reproducibility.html
http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
On Tue, 11 Feb 2020 at 15:07, Ana Marija
wrote:
> so I transformed my
so I transformed my data from the previous email to look like this:
> head(tot)
dat type
1 -3.962 inter.individual.variance
2 -4.301 inter.individual.variance
3 -1.690 inter.individual.variance
4 -0.375 inter.individual.variance
5 1.816 inter.individual.variance
6 0.138
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