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...tive fis I understand the "non-unique solution" message. Thanks in advance, Jude Ryan ___________________________________________ Jude Ryan Director, Client Analytical Services Strategy & Business Development UBS Financial Services Inc. 1200 Harbor Boulevard, 4th Floor Weehawken, NJ 07086-6791 Tel. 201-352-1935 Fax 201-272-2914 Email: jude.ryan at ubs.com -------------- next part -------------- Please do not transmit orders or instructions regarding a UBS account electronically, including but not limited to e-mail, fax, text or instant messaging. The information provi...

...abels as I have already read in the data into R from a CSV file. Thanks in advance for any help. Jude ___________________________________________ Jude Ryan Director, Client Analytic Services Strategy & Business Development UBS Financial Services Inc. 1200 Harbor Boulevard, 4th Floor Weehawken, NJ 07086-6791 Tel. 201-352-1935 Fax 201-272-2914 Email: jude.ryan at ubs.com Please do not transmit orders or instructions regarding a UBS account by e-mail. The information provided in this e-mail or any attachments is not an official transaction confirmation or accou...

Hi mates, I have a problem. I am new to R and want to conduct the Fama/French asset pricing test. As I am from Germany, I cannot use the already computed factors from French's website, but need to compute them myself. So I have to sort a number of stocks into different portfolios using one factor, then subdivide these portfolios into several more using another factor, then compute portfolio

I need to use the Bhattacharyya distance metric to determine population separation. Has anyone written a Bhattacharyya distance metric function in R? -- View this message in context: http://old.nabble.com/Bhattacharyya-distance-metric-tp26221259p26221259.html Sent from the R help mailing list archive at Nabble.com.

Hi, I use nnet for my classification problem and have a problem concerning the calculation of the final value for my validation data.(nnet only calculates the final value for the training data). I made my own final value formula (for the training data I get the same value as nnet): # prob-matrix pmatrix <- cat*fittedValues tmp <- rowSums(pmatrix) # -log likelihood

Hi, I have a problem. I have a data frame looking like: ID val A? .3 B? 1.2 C? 3.4 D? 2.2 E? 2.0 I need to CREATE the following TABLE: CASE?? DIFF A-A??? 0 A-B??? -0.9 A-C??? -3.1 A-D??? -1.9 A-E??? -1.7 B-A??? ... B-B??? ... B-C B-D B-E C-A C-B C-C C-D C-E D-A D-B D-C D-D D-E E-A E-B E-C E-D E-E WHERE CASE IS THE COUPLE OF ELEMENTS CONSIDEREDM AND DIFF IS THE computed DIFFERENCE between

Hi: For those of you who are adept at both SAS and R, I have the following questions: a) What are some reasons / tasks for which you would use R over SAS and vice versa? b) What are some things for which R is a must have that SAS cannot fulfill the requirements? I am on the ramp up on both of them. The general feeling that I am getting by following this group is that R updates to the product are

I want to create a neural network, and then everytime it receives new data, instead of creating a new nnet, i want to use a backpropagation algorithm to adjust the weights in the already created nn. I'm using nnet package, I know that nn$wts gives the weights, but I cant find out which weights belong to which conections so I could implement the backpropagation algorithm myself. But if anyone

...k by eliminating weights close to zero (at all the layers in the network)? Thanks in advance, Jude ___________________________________________ Jude Ryan Director, Client Analytical Services Strategy & Business Development UBS Financial Services Inc. 1200 Harbor Boulevard, 4th Floor Weehawken, NJ 07086-6791 Tel. 201-352-1935 Fax 201-272-2914 Email: jude.ryan at ubs.com -------------- next part -------------- Please do not transmit orders or instructions regarding a UBS account electronically, including but not limited to e-mail, fax, text or instant messaging. The information provi...

Dear All, I am having some problem in apply function. I have some data like below. I want to get a range vector (which is max-min value for each row , ignoring NA values.) > Species.all[1:10,] V2 V3 V4 V5 V6 V7 V8 V9 1 57543 55938 47175 54922 36032 5785 29497 7286 2 42364 40472 29887 40107 19723 2691 14445 3258 3 19461 19646 18538 22392 6744 794

...work by eliminating weights close to zero (at all the layers in the network)? Thanks in advance, Jude ___________________________________________ Jude Ryan Director, Client Analytical Services Strategy & Business Development UBS Financial Services Inc. 1200 Harbor Boulevard, 4th Floor Weehawken, NJ 07086-6791 Tel. 201-352-1935 Fax 201-272-2914 Email: jude.ryan at ubs.com -------------- next part -------------- Please do not transmit orders or instructions regarding a UBS account electronically, including but not limited to e-mail, fax, text or instant messaging. The information provi...

Hi All, I am trying to learn Neural Networks. I found that R has packages which can help build Neural Nets - the popular one being AMORE package. Is there any book / resource available which guides us in this subject using the AMORE package? Any help will be much appreciated. Thanks, Indrajit

Dear R-helpers, I had a conversation with a guy working in a "business intelligence" department at a major Spanish bank. They rely on recursive partitioning methods to rank customers according to certain criteria. They use both SAS EM and Salford Systems' CART. I have used package R part in the past, but I could not provide any kind of feature comparison or the like as I have no

...work by eliminating weights close to zero (at all the layers in the network)? Thanks in advance, Jude ___________________________________________ Jude Ryan Director, Client Analytical Services Strategy & Business Development UBS Financial Services Inc. 1200 Harbor Boulevard, 4th Floor Weehawken, NJ 07086-6791 Tel. 201-352-1935 Fax 201-272-2914 Email: jude.ryan at ubs.com -------------- next part -------------- Please do not transmit orders or instructions regarding a UBS account electronically, including but not limited to e-mail, fax, text or instant messaging. The information provi...