A thread depicting how to insert a png image in a plot, thanks to Stackoverflow: plotting-images-on-a-grid.
A very basic tip, still useful to someone.
"A big computer, a complex algorithm and a long time does not equal science." -- Robert Gentleman
mercoledì 2 febbraio 2011
venerdì 31 dicembre 2010
lunedì 8 novembre 2010
A R wrapper for Google Prediction API
Since I got the chance to access to both Google Storage for Developers and Google Prediction API (more details here and here), I decided to create a simple wrapper (just 4 basic functions until now) to be capable to play with the Google Prediction API from R.
Here you can find the github repository for the project and below few lines of code reproducing an example you can find on the Google Prediction API website.
Download the source code from here.
Either source the functions contained in the R directory or install the package typing (from the command line in a Unix-like environment):
R CMD INSTALL predictionapirwrapper_1.0.tar.gz
# start R and type (code highlighting thanks to Revolution Analytics Pretty R syntax highlighter):
All comments, corrections, alternative code are more than welcome!
Update: a more complete and functional alternative can be found here.
Here you can find the github repository for the project and below few lines of code reproducing an example you can find on the Google Prediction API website.
Download the source code from here.
Either source the functions contained in the R directory or install the package typing (from the command line in a Unix-like environment):
R CMD INSTALL predictionapirwrapper_1.0.tar.gz
# start R and type (code highlighting thanks to Revolution Analytics Pretty R syntax highlighter):
library(predictionapirwrapper) ## The first stage of using the API is to acquire an authorization token. This can be done via this command: token <- GetAuthToken(email="user@gmail.com", passwd="mypassword") ## This command begins training on data that has been previously uploaded to Google Storage. GoogleTrain(auth_token=token$Auth, mybucket="data_languages", mydata="language_id.txt") ## Once training has started, this command checks the status of the training job and gets meta-information on the model (if available). GoogleTrainCheck(auth_token=token$Auth, mybucket="data_languages", mydata="language_id.txt") ## When training has finished, this command issues a request for a new prediction from the model. GooglePredict(auth_token=token$Auth, mybucket="data_languages", mydata="language_id.txt", myinput="La idioma mas fina")
All comments, corrections, alternative code are more than welcome!
Update: a more complete and functional alternative can be found here.
venerdì 15 ottobre 2010
R 2.12.0 is released!
mercoledì 21 luglio 2010
R Cheat Sheets and more
mercoledì 30 giugno 2010
giovedì 22 aprile 2010
R 2.11.0 is released!
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