CreditCorrelation:
I would suggest that you go with matlab. Not only there is a HUGE library of functions already written, It is USED pretty heavily In hedge funds and investment banks. Citadel for example, uses matlab pretty heavily, especially the high frequency and stat arb groups.
Matlab versus R
- jungle
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Matlab versus R
Credit Correlation - have a look at the rMetrics page.
it's axiomatic, deal with it.
- doobs
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Matlab versus R
You might want to consider SAS Cry
EDIT: One bad thing about R is the documentation, with Matlab you get excellent documentation and support.
EDIT: One bad thing about R is the documentation, with Matlab you get excellent documentation and support.
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Credit Correlation
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Matlab versus R
Tradenator, urnash, tptspecial, jungle, & doobs
Thank you for your replies.
I asked a friend who has experience with Python, R, and Matlab
(not to mention that he is a C/C++ expert), who suggested using
Python.
Based on his and on other people's advice, I decided to start with
Python, since it is a general purpose language, has a large user
base, public discussion groups, and has a decent number of
packages.
Thank you for your replies.
I asked a friend who has experience with Python, R, and Matlab
(not to mention that he is a C/C++ expert), who suggested using
Python.
Based on his and on other people's advice, I decided to start with
Python, since it is a general purpose language, has a large user
base, public discussion groups, and has a decent number of
packages.
-
orbital
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- Joined: Thu Jan 01, 2004 12:00 am
Matlab versus R
Python is a wonderful programming language. So far, I'm still not happy with its plotting capabilities.
R is great for making plots and it's designed to analyze data. The concept of categories and category plots is so useful, I implemented it in the language I'm forced to use, IDL. Point is: play with R's category plot feature.
As a side note, R has bindings to Mondrian which I highly recommend for studying multidimensional data.
R is great for making plots and it's designed to analyze data. The concept of categories and category plots is so useful, I implemented it in the language I'm forced to use, IDL. Point is: play with R's category plot feature.
As a side note, R has bindings to Mondrian which I highly recommend for studying multidimensional data.
- urnash
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Matlab versus R
I do not have any experience whatsoever with Mondrian, but for multidimensinal data I use GGobi, which can be a bit slow, but I do like that you can brush. EDIT: no idea if it is also possible in Mondrian. Oh, looking at the website it seems to be possible...
mattcushman: happiness levels are a I(0) process, not I(1).
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orbital
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Matlab versus R
urnash, i started with ggobi. Brushing is wonderful. However, when I stopped using it, a few months ago, I had gotten annoyed with how buggy it was. (That may have changed in the past 6 months.)
Mondrian just works. It has few features, but the features work :) Bad thing is that Mondrian is extremely strict on its input, which is why you want to use Rserve + Mondrian.
Mondrian just works. It has few features, but the features work :) Bad thing is that Mondrian is extremely strict on its input, which is why you want to use Rserve + Mondrian.
- urnash
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Matlab versus R
[b]orbital[/b]: thanks for your comments. There is a new version of GGobi out, which should be less buggy, but I haven't tested it. I will certainly look at Mondrian in the future, but probably without RServe. This because I've seen that it is not recommended to use RServe on a Windows machine. Can you comment on that? Thanks in advance
mattcushman: happiness levels are a I(0) process, not I(1).
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orbital
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Matlab versus R
Unfortunately, no. I use Rserve on my Linux box, it works great. I'm surprised you use windows, my experience with ggobi on windows was rather painful.
As per Mondrian w/out rserve, here's my one suggestion. Mondrian is fanatical about tab separated files. Read your data into R with read.table, and then write it out with write.csv.
As per Mondrian w/out rserve, here's my one suggestion. Mondrian is fanatical about tab separated files. Read your data into R with read.table, and then write it out with write.csv.
- urnash
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Matlab versus R
Since this thread has morphed to a thread on R and Graphics, I'll post here the slides of a talk on SpRay, a new R based visual analytics platform that uses both the CPU and the GPU to look at data. Seems very neat. [b]However[/b] I haven't found any other information on it online and I wasn't at the UseR conference, so I do not know more on it. Will keep you posted...
mattcushman: happiness levels are a I(0) process, not I(1).