Hi,
I am new to this mailing list. Didn`t find the answer in the archives. But I
guess, there are people out there, who know the solution:
In an automatic script, I want to produce simple plots. First I prefer pdf,
because of scalability and standardization. But when I have too many
datapoints (say 300.000) the viewing and printing is very, very slow. So I
decided to take some bitmapped format when passing 5.000 datapoints, because
most of them are in one cloud. As a result, the png is nice and fast to
handle and in Linux it is very easy to convert it to pdf with imagemagick.
So far so good. The problem is, that the font size and the point-size of the
plotpoints and the all of the plot is getting much smaller when using
png-format. Why is this and how can I circumvent this issue?
These are the two devices, I am opening for the two reasons:
1)
pdf("name_out.pdf",11,3.5)
2)
bitmap("name_out.png",height=3.5,width=11)
all should be the same, isn`t it?
Thanks in advance,
Stephan
--
Dr. med. Stephan Ripke
Stat.2 (Neurology)
Max-Planck-Institute of Psychiatry
AG Statistical Genetics
Kraepelinstr. 10
80804 Munich - Germany
Tel. +49 (0)89 30622-422 or -384
Fax. +49 (0)89 30622-610
Email: ripke at mpipsykl.mpg.de
On 27 Feb 2008, Stephan Ripke wrote:> The problem is, that the font size and the point-size of the plotpoints > and the all of the plot is getting much smaller when using png-format. Why > is this and how can I circumvent this issue? These are the two devices, I > am opening for the two reasons: > > 1) > pdf("name_out.pdf",11,3.5) > 2) > bitmap("name_out.png",height=3.5,width=11)Why not the 'png' device? You can try different picture size and font sizes. For png, the size of the figure is in pixels (rather than inches for pdf), and the fonts are in 'points'. The documentation of png says that one point is approximately one pixel. However, that is assuming 72 dpi (screen resolution). For printing (e.g., inserting into Word), you would want at least 600dpi, or even 1200dpi, so you need set a font size proportional to the total image size. I usually just make a pdf file and then convert it to png with 'convert' from ImageMagick to the desired resolution: convert -density 600x600 a.pdf a.png Michael
Since bitmap() used postscript, you may as well use PDF and convert to PNG (and bitmap in R-devel uses this as an option). I've no idea about the size differences, and we don't have a reproducible example. Again, R-devel offers many more options. On Wed, 27 Feb 2008, Stephan Ripke wrote:> Hi, > I am new to this mailing list. Didn`t find the answer in the archives. But I > guess, there are people out there, who know the solution: > In an automatic script, I want to produce simple plots. First I prefer pdf, > because of scalability and standardization. But when I have too many > datapoints (say 300.000) the viewing and printing is very, very slow. So I > decided to take some bitmapped format when passing 5.000 datapoints, because > most of them are in one cloud. As a result, the png is nice and fast to > handle and in Linux it is very easy to convert it to pdf with imagemagick. > So far so good. The problem is, that the font size and the point-size of the > plotpoints and the all of the plot is getting much smaller when using > png-format. Why is this and how can I circumvent this issue? > These are the two devices, I am opening for the two reasons: > > 1) > pdf("name_out.pdf",11,3.5) > 2) > bitmap("name_out.png",height=3.5,width=11) > > all should be the same, isn`t it? > > Thanks in advance, > Stephan > > -- > Dr. med. Stephan Ripke > Stat.2 (Neurology) > Max-Planck-Institute of Psychiatry > AG Statistical Genetics > Kraepelinstr. 10 > 80804 Munich - Germany > Tel. +49 (0)89 30622-422 or -384 > Fax. +49 (0)89 30622-610 > Email: ripke at mpipsykl.mpg.de > > ______________________________________________ > R-help at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >-- Brian D. Ripley, ripley at stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595