R for the web
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There is a nice R module for apache: rApache. So you can easily publish statistics.
To install rApache first install the following packages from the Debian/Ubuntu repository:
1 | aptitude install apache2 apache2-mpm-prefork apache2-prefork-dev r-base-dev |
So the basics are done. Lets install rApache. Grab the latest version:
1 | wget http://biostat.mc.vanderbilt.edu/rapache/files/rapache-latest.tar.gz |
extract the contents and cd into it. The installation process should be clear, I had to give a hint for the apxs2 location:
1 2 3 | ./configure –with-apxs=/usr/bin/apxs2 make make install |
To notify apache about the new module you need to create two more files. First one is /etc/apache2/mods-available/r.conf:
1 2 3 4 5 6 7 8 9 | ROutputErrors SetHandler r-script RHandler sys.source SetHandler r-info |
Now all files in /R are assumed to be R-scripts, in /RApacheInfo you’ll find some information about your installation.
The second file is /etc/apache2/mods-available/r.load:
1 | LoadModule R_module /usr/lib/apache2/modules/mod_R.so |
This file just defines which lib to load.
To finish the installation you need to load the rApache module and restart the webserver via:
1 2 | a2enmod r /etc/init.d/apache2 restart |
That’s it. You can test whether all was successful by browsing to localhost/RApacheInfo, hopefully you’ll see some config stuff. To prepare some own tests create a directory /var/www/R (assuming your document-root is /var/www) and paste something like this in a file called test:
1 2 | y = rnorm(100) print(y) |
Browsing to localhost/R/test you should see something like this:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | [1] –0.4969626136 –0.0004799614 1.3858672447 –0.1888848545 0.5577465024 [6] –0.6463581808 1.3594363388 1.8160182284 –1.8602721944 0.3249432873 [11] 1.0861606647 –0.5075055497 –0.5152062853 0.4851131375 0.2924883195 [16] –0.5542238124 1.2741001461 0.2627202474 –0.8986869795 –0.8628182849 [21] –0.0788598913 0.4843055866 –0.2747585510 –1.1928500793 1.6193763442 [26] 0.3452218627 0.9518228897 –0.5858433386 1.9585346877 –0.2582043114 [31] –1.7989436202 1.2713761553 0.9045031014 –0.3456065867 0.3739555330 [36] 0.7512315203 –0.5289340037 –0.7700091217 –1.5103278314 –1.5195628428 [41] –0.8100795062 1.1027597227 0.0194147933 0.7819879165 –0.3914496199 [46] –0.4650911293 0.5889685176 –0.9659270213 1.0570030616 –0.0657166412 [51] –0.2077095857 0.6421821337 –0.1911934111 –3.1567052058 0.2704713187 [56] –0.5154689593 0.0923834868 –1.2100314635 0.6693369266 –1.2093881229 [61] 1.6755264101 1.2151146432 0.6683583636 –0.2982231602 1.4830922366 [66] 1.6505026636 –0.1769048244 0.3516470621 –0.0053594481 –0.3776870673 [71] –0.4797554602 1.2207702646 1.2762816419 –2.6137169267 –1.4423704831 [76] –0.4251822440 0.8007722424 –0.4985947758 –2.0685396392 –1.6844317212 [81] –0.2509955532 0.7906569225 –0.1259848747 –0.1352738978 –1.4943405839 [86] –2.4272199144 –0.5778250558 1.2579971393 –1.0476874144 0.2305160769 [91] –0.2920446292 0.1823053837 1.8858770756 1.4158084170 –1.2539321864 [96] 1.2667650232 0.1272379338 1.2726069769 0.8745111042 0.3848103655 |
To create a graphic you need to change the content type to an image type. A small example might give you an idea:
1 2 3 4 5 6 7 8 | setContentType (“image/png”) temp <- tempfile () y = rnorm (100) png (temp, type=“cairo”) plot (1:100, y, t=‘l’) dev.off () sendBin (readBin (temp, ‘raw’, n=file.info(temp)$size)) unlink (temp) |
Reload the page and you’ll see a more or less nice plot 😛
That’s it for the moment, for a more interactive interface take a look at the ggplot2 mod.
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