Hi All,
I am having trouble outputting ggplot2 graphics to pdf as part of a
script. It works if when I pipe the script into R or if I type the
commands directly into the terminal, but not if I load it using the
source(..) command. In this case the outputted pdf is always size 3611,
and it fails
e, the result is automatically printed, but in 'source()' or
inside your own functions you will need an explicit 'print()' statement.
On Thu, Mar 2, 2017 at 8:37 AM, Hugh Morgan wrote:
Hi All,
I am having trouble outputting ggplot2 graphics to pdf as part of a
script. It w
Hi,
There are many ways to do this. As well as the php way mentioned by
Franz, you could use cgi. This would probably be considered the
traditional way of doing it. As we are java web developers we are
aiming to use Rserve (http://www.rforge.net/Rserve/) and tomcat (this
can also interact
Hi,
I need to construct a formula programaticly, and pass it to a function
such as the linear mixed model lme. The help says it requires "a
two-sided linear formula object describing the fixed-effects part of the
model" but I do not know how to create this formula. I have tried
various thin
Thank you very much, that is exactly what I needed.
Hugh
On 01/22/2012 03:38 PM, Duncan Murdoch wrote:
On 12-01-22 9:27 AM, Hugh Morgan wrote:
Hi,
I need to construct a formula programaticly, and pass it to a function
such as the linear mixed model lme. The help says it requires "
Hi,
I have what I suppose is the same problem as this. I am using the
linear mixed model function lme, and this does not seems to take the
attribute "model=TRUE" at the end of the function.
Is there a more general way of solving this problem?
Is my description of the problem below correct (f
<<- test_variable~Gender
Cheers,
Hugh
On 01/29/2012 07:46 PM, Hugh Morgan wrote:
> Hi,
>
> I have what I suppose is the same problem as this. I am using the
> linear mixed model function lme, and this does not seems to take the
> attribute "model=TRUE" at the end o
Has anyone got any advice about what hardware to buy to run lots of R
analysis? Links to studies or other documents would be great as would
be personal opinion.
We are not currently certain what analysis we shall be running, but our
first implementation uses the functions lme and gls from the
On 05/08/2012 12:14 PM, Zhou Fang wrote:
How many data points do you have?
Currently 200,000. We are likely to have 10 times that in 5 years.
Why buy when you can rent? Unless your hardware is going to be
running 24/7 doing these analyses then you are paying for it to sit
idle. You might
reof -- on a single "cheap" machine? It
might be that your concerns are overblown, especially with multicore
and parallelization.
Obviously, ignore if you've already done this and know it's nonsense.
Cheers,
Bert
On Tue, May 8, 2012 at 8:50 AM, Hugh Morgan wrote:
On 05/08/
On 05/08/2012 06:02 PM, Rich Shepard wrote:
On Tue, 8 May 2012, Hugh Morgan wrote:
Perhaps I have confused the issue. When I initially said "data points" I
meant one stand alone analysis, not one piece of data. Each analysis
point
takes 1.5 seconds. I have not implemented running
Thank you all for the help. We have decided against using for example
Amazon cloud for basicly paperwork issues. We have money available now
for buying kit, this may not be available for buying "services", and may
not be available next year, or the next. We shall certainly consider it
as a f
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