search for: readsdml

...ww.ci.tuwien.ac.at/~meyer/ and un-tar it in some tmp-dir. 3. make shure that LDFLAGS and CPPFLAGS are set correctly for libxml 3. run: configure make MATLAB from within the "matoct"-directory In the subdirectory "matlab", you should obtain: StatdataML.dtd, some .m files and a readsdml.mex?? file 4. run matlab and change your searchpath accordingly 5. try "help writesdml" and "help readsdml" to see the command options. Normally, something like writesdml (object, 'out.sdml') or object = readsdml ('out.sdml') should work. -d -- Mag. D...

...iling the Matlab part exits with this error message (following the INSTALL instructions: autoconf -> ./configure -> make): ,----[ patrick at trurl:~/src/statdatml/StatDataML/MatOct> make ] | make[1]: Entering directory `/home/patrick/src/statdatml/StatDataML/MatOct/matlab' [...] | mex readsdml.c -Dmatlab | readsdml.c:26:27: libxml/parser.h: Datei oder Verzeichnis nicht gefunden [...] `---- libxml2 is installed: ,----[ patrick at trurl:~/src/statdatml/StatDataML/MatOct> locate libxml/parser.h ] | /usr/include/libxml2/libxml/parser.h `---- Can somebody give me a pointer if there...

Hi, I was wondering if Statdataml is currently the preferred way to represent statistical data in XML in R. And also if the Statdataml api provides ways to load the XML as a HTTP GET? If so can you give me an easy example of this. Thanks. Cheers, Bryan Rasmussen

...file=stdout()) # yes, even this works } dbDisconnect(con) OK } And of course the output of the above can either be sent to the browser or even to an interactive R session like this: load(url("http://example.com/dataprovider?format=rds")) or this via StatDataML d <- readSDML(file="http://example.com/dataprovider?format=xml") or this via read.csv d <- read.csv(file=url("http://example.com/dataprovider?format=csv") Of course there are other ways to accomplish this, like allowing c code to place c generated connection objects onto the Connectio...