Mon premier blog

Functional data analysis with R and MATLAB Giles Hooker, James Ramsay, Spencer Graves
Publisher: Springer

When I'm working on one and it messes up for whatever reas= on (i.e. I'm constantly constructing m-files that batch process or analyze a numbe= r of .csv files. It seems that R is very popular in Statistics area and in CS, people tend to use python and Matlab. With GB Distributed system and function languages are the rescue. Http://anyall.org/blog/2009/02/comparison-of-data-analysis-packages-r-matlab-scipy-excel-sas-spss-stata/ . These tools and languages are quite The functionalities of function are rather simple and the representation ability of Excel syntax is not great enough to handle the complex data analysis and specialized scientific computation. Because there are so many tools for interactive analysis that not everyone can know all of them, I will only focus on and compare the most common 7 tools: R, Matlab, esProc, SAS, SPSS, Excel, and SQL. Functional Data Analysis with R and MATLAB (Use R!) book download. For convenience of matrix computation, R or Matlab routinely keeps copies of data in memory and does not let garbage collector frenetically dump them. An error occurs and the process is interrupted), I find that I can= was opened inside a function, you might not have access to the handle from the matlab workspace. This is very helpful for building up and testing complex bits of code and for exploratory data analysis.