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That's a good idea; I will try and write up such a "low level" post this week. As a preview, the things that will prominently feature in the post are - RStudio,
by dude_abides 14y ago
That's a good idea; I will try and write up such a "low level" post this week. As a preview, the things that will prominently feature in the post are - RStudio, custom functions/aggregates in Postgres PL/R, and Sweave. (yes I am a R fanboy).
- pav3l 14y agoWould definitely like to read it! I personally find the need to go back and forth quite a bit between different tools when working even on a single dataset. Say, i'll do some work with text part of the dataset in Python, then use Matlab for some basic quantitative analysis, then use R for some advanced statistics if I have to, port those results back to Matlab/Python for speed, then back to R to sweave, maybe some spreadsheet stuff too, etc... So for me, for every project I need to have my dataset in easily accessible format (csv/someSQL/etc) and I need scripts in every language that I use, that would communicate with the data source and get "up to speed" right away. It's little tips like that I think people should be sharing more.
- washedup 14y agoRStudio for life. I would like to hear about your experience with Sweave.