similar to: Learning to become an Electrician

Hi all, Could anybody please recommend some hands-on books on classification, data-mining and machine learning with R? I would like to get a very good understanding of the statistical tools that are used in these areas, while reducing the learning curve. Thank you!

Hello all, We are pleased to announce the official launch of the R Wiki at http://wiki.r-project.org. Although there are already many sources of R documentation, this R Wiki is a complementary tool, in the sense that "users become R documentation authors", a little bit like "users become developers" for R code.

I am new to R. I am going to by one of the following book: 1. William N. Venables and Brian D. Ripley. Modern Applied Statistics with S-Plus. Third Edition. Springer, 1999. ISBN 0-387-98825-4. 2. The Fourth Edition of the book from point 1. 3. `S Programming' by W. N. Venables and B. D. Ripley Springer. ISBN 0-387-98966-8, 2000. I can only by one of the above books. Q1. I have found

Hi, I'm currently busy finishing "Linux aux petits oignons", a practical introduction to Linux, aimed primarily at the frustrated Windows user. This is the first of two volumes, it's written in french, and all examples in the book are based on CentOS. (Note: looks like I'll have to update some screenshots to 5.3 :oD) Usually the first question that arises is: why not

I seem to remember seeing somewhere (on this list/on the web -- don't remember) that there was some ``Snort-like'' software that was available under the BSD license. Unfortunately, I'm unable to find any information about such software. Was I dreaming, or can anybody else jog my memory? :) Kind regards, Devon H. O'Dell

On 13 October 2015 at 17:09, Rafael Espíndola <llvm-dev at lists.llvm.org> wrote: > I assume the end objective of such a policy is to have more effective > communications, so it would be nice to have some examples to avoid it > instead hampering communications by pushing unnecessary political > correctness. +2!!! > * Small, on the side jokes are OK if people are not

Hello, ogg123 | ices2 are doing transcoding but ogg123 is staying frozen under certain circumstances here is the stack #0 0x401f25d4 in __pthread_sigsuspend () from /lib/libpthread.so.0 #1 0xbffff94c in ?? () #2 0x401f2398 in __pthread_wait_for_restart_signal () from /lib/libpthread.so.0 #3 0x401eef0b in pthread_cond_wait@GLIBC_2.0 () from /lib/libpthread.so.0 #4 0x0804b0d3 in

Hello I found that in this version, in the access log, the source log lines are wrong. The number of bytes transfered for the source is always 19 bytes... bla.bla.bla.bla - - [17/Nov/2003:23:25:22 +0100] "SOURCE /radio-bro-gwened.ogg HTTP/1.0" 200 19 "-" "IceS 2.0-Beta2" 13325 bla.bla.bla.bla - - [17/Nov/2003:23:25:52 +0100] "SOURCE /radio-bro-gwened.ogg

I forgot to mention that the patched version seams to work fine, except that one of the listener (curl | oggdec | ices) don't like the source content change. I have to search for that. Chris --- >8 ---- List archives: http://www.xiph.org/archives/ icecast project homepage: http://www.icecast.org/ To unsubscribe from this list, send a message to 'icecast-dev-request@xiph.org'

Dear all, Please, I have a doubt regarding symbol plotting with data originating from a table. Please, see below: I have a tab delimited file called table1.txt with 4 columns: ypos animal var1 var2 5 cat gina <= lady gina \u2264 lady 7 dog bill >= tony bill \u2265 tony 9 fish dude <= bro dude \u2264 bro #I then load in the data to R: table1<-read.table("table1.txt",

Hello, Karl, you added a compile-time flag to enable IP logging in icecast. But, this changed a lot the log procuded: 81.53.41.160 - - [30/Nov/2003:10:09:11 +0100] "GET /admin/metadata HTTP/1.0" 200 155 "-" "ices/0.3 libshout/2.0-kh22" 0 81.53.41.160 - - [30/Nov/2003:11:20:14 +0100] "SOURCE /radio-bro-gwened.mp3 HTTP/1.0" 200 19 "-" "ices/0.3

hi henrik (all): A better solution would be to have levels: set.help(level="beginner"), which then provides expanded explanations. However, I do not think this is necessary: For the most part, the online R docs are great. It is not more detailed explanations that beginners crave. My primary wishes arise as I stumble onto a need, and then wish for a few more examples of different

Hello, I have some trouble in the access log regarding to the source lines: 127.0.0.1 - - [13/Jan/2004:16:13:22 +0100] "SOURCE /radio-bro-gwened.ogg HTTP/1.0" 200 19 "-" "IceS 2.0-kh48" 30410 127.0.0.1 - - [13/Jan/2004:16:13:22 +0100] "SOURCE /radio-bro-gwened.ogg HTTP/1.0" 200 19 "-" "IceS 2.0-kh48" 30410 amount of data transfered for

Hello, I will take your last version, but I have fresher news about the bug that occurs every mornings in fact... I think this is ntpdate which is causing the problem, as the time of the machine change for more than one second. Here is all the info: 09:46:17 up 1 day, 1:22, 2 users, load average: 0.60, 0.71, 0.68 86 processes: 84 sleeping, 2 running, 0 zombie, 0 stopped CPU states: 10.4%

Ivo, Let me address your points in reverse order: 1. There is a `wishlist' category for bug reports, which I guess you've overlooked. 2. There is also a `Contributed Documentation' section on the R web site, which you can submit your contribution. As well, there are a few introductory level documents there already that you might be interested. 3. I must repectfully disagree about

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- Deze mail is doorgezonden omdat iemand dacht dat u wellicht interesse zou kunnen hebben. Mocht u na het lezen van deze mail geen interesse hebben dan kunt u de boodschap verwijderen, u ontvangt geen verdere berichten meer tenzij u daar uitdrukkelijk om verzoekt. Computervrienden De club computervrienden gaat zich lanceren in mei 2002. Voordat deze datum wordt bereikt willen wij het volgende

Hi all, I am looking for a good book that covers Machine Learning as a whole and provides examples in R while not over focusing on the math (such as in 'Elements of Statistical Learning') but rather on descriptions and examples. I am relatively new to R and ML and, while solving problems with R, I want to learn the main concepts, techniques and problem categories. Can anybody here

any useful books for learning the R statistical software? are they pricey? and if the books recommended focus on S, how compatible will they be for someone learning R? thank you in advance for your help. P.S. specialized survey statistical procedures? Is R good at that? [[alternative HTML version deleted]]

Dear all, I have 4 sites and want to determine how different they are from each other. For this I have decided to use R though it seems a bit daunting to learn. I have read data in from a CSV the structure is : Species1 Species2 Species3 Site1 4 4 7 Site2 3 1 0 Site3 0 99 6 Site4 75 3 33 There are many more species than shown above this is just an example. Here are the