Statistics
Statistical Programs:
My use with statistics is mainly with the R programming language.
When the question of why should someone use R comes up -- it seems that alot of people say because its "free" or "open source". My position is that R does some things that other statistical programs cannot. I first started using R because I wanted to tie statistical analysis into some Java software that we were developing. R provided the ability to interface with java (through the package RServe).
Things that I have used R for that I probably couldn't do with other Statistical software:
- SPSS (now owned by IBM. They have an interesting Citrix licensing agreement where you can't seem to install 1 copy of SPSS (according to our IT person) and you need to essentially buy a server license).
- SUDAAN (survey statistical software)
- SAS (used alot in industry)
- STATA (used alot in graduate education)
- R
My use with statistics is mainly with the R programming language.
When the question of why should someone use R comes up -- it seems that alot of people say because its "free" or "open source". My position is that R does some things that other statistical programs cannot. I first started using R because I wanted to tie statistical analysis into some Java software that we were developing. R provided the ability to interface with java (through the package RServe).
Things that I have used R for that I probably couldn't do with other Statistical software:
- Accessing PubMed references
- Access to Weka (Java Data Mining software)
- Integration of R with Java programs
Programming the R Language
The following are good references about programming with the R language. These references differ from other books on R which may focus on the use of statistics.
Evaluating the Design of the R Language
http://www.cs.purdue.edu/homes/jv/pubs/ecoop12.pdf
Software for Data Analysis: Programming with R (Statistics and Computing)
http://www.amazon.com/Software-Data-Analysis-Programming-Statistics/dp/0387759352
Some topics to be expanded on later.
Evaluating the Design of the R Language
http://www.cs.purdue.edu/homes/jv/pubs/ecoop12.pdf
Software for Data Analysis: Programming with R (Statistics and Computing)
http://www.amazon.com/Software-Data-Analysis-Programming-Statistics/dp/0387759352
Some topics to be expanded on later.
- Profiling (TraceR, ProfileR, ParseR)
- S3 Object Model
- S4 Object Model
- Package Creation