That worked! Thank you again for your help.
- Fincher
On Fri, May 14, 2010 at 12:33, Marc Schwartz wrote:
> Justin,
>
> Try something like this:
>
> par(mfrow = c(2, 1))
>
> drawGffPlots2(data1, data2, trackingDye = TRUE,
> slice = "chr13", newDev = 0)
>
> plot(densities_subset$V
Justin,
Try something like this:
par(mfrow = c(2, 1))
drawGffPlots2(data1, data2, trackingDye = TRUE,
slice = "chr13", newDev = 0)
plot(densities_subset$V4, densities_subset$V6, type = "h",
xlim = par("usr")[1:2],
xaxs = "i",
xlab = "Position", ylab = "Ge
Thank you for your reply, but I have additional questions. I agree that
getting the common ranges before plotting would be the best scenario, it is
just complicated by the fact that the first plot is generated with a
function where all the data is passed in and within the function the data is
subs
On May 14, 2010, at 9:59 AM, Justin Fincher wrote:
> I have two datasets that I would like to plot in a single figure. The first
> plot is generated by a function that then takes a subset of the data. (It
> is biological data so it is usually by chromosome e.g.
> function(data1,subset="chr8") )
I have two datasets that I would like to plot in a single figure. The first
plot is generated by a function that then takes a subset of the data. (It
is biological data so it is usually by chromosome e.g.
function(data1,subset="chr8") ) Since not only are the chromosomes different
sizes, but acro
5 matches
Mail list logo
