similar to: Stepwise regression

Dear R helpers,   Following is a R script I am using to run the Fast Fourier Transform. The csv files has 10 columns with titles m1, m2, m3 .....m10.     When I use the following commands, I am getting the required results. The probelm is if there are 100 columns, it is not wise to define 100 commands as fk <- ONS$mk and so on. Thus, I need some guidance to write the loop for the STEP A and

Hello, I have a question pertaining to the stepwise regression which I am trying to perform. I have a data set in which I have 14 predictor variables accompanying my response variable. I am not sure what the difference is between the function "mle.stepwise" found in the wle package and the functions "step" or "stepAIC"? When would one use

Dear R helpers, please ignore my earlier mail. Here is the corrected mail. Please forgive me for the lapses on my part. Extremely sorry.   Here is the corrected mail.     Dear R helpers   I am having following data   Name           Numbers A11                  12 A12                  17  A13                   0 A11                  11  A12                   6 A13                   0

Dear R helpers   I am having following data   Name           Numbers A                  25 B                   3  C                  13 A                   5  B                   7 C                   0 A                   2 B                 10 C                   9   CONDITIONS   If Name is A, min_val = 1.05, max_val = 1.30 If Name is B, min_val = 1.30, max_val = 1.60 If Name is C, min_val =

Dear R helpers,   I have following input files. (Actually they are more than 10 rates but here i am considering only 2 rates to write my problem)   rate1.csv min1        max1            min2          max2          min3           max3 1.05        1.30               1.30          1.65             1.65          1.99   rate2.csv min1        max1            min2          max2          min3          

Subject: Eliminate repeated components from a vector X-Mailer: VM 7.00 under 21.4 (patch 6) "Common Lisp" XEmacs Lucid Reply-To: fjmolina at lbl.gov FCC: /home/f/.xemacs/mail/sent Does anyone know how I can eliminate repeated elements from a vector?

Dera R Helpers, I am re-posting my query. Please guide me. Maithili --- On Fri, 3/13/09, Maithili Shiva <maithili_shiva at yahoo.com> wrote: I am trying to fit the Gumbel distribution to a data. I am using lmom package. I am getting problem in Cumulative Distribution Function of Gumbel distribution as I am getting it as a series of 0's and 1's thereby affecting the P P

Dear R helpers, How do you estimate the (Location, Scale, Shape) parameters of Generalized Extreme Value distribution using R? I have tried VGAM but just not able to write the R script. Please advise. With regards Maithili

Dear R Helpers Which package is available for estimatine the parameters of three parameter FRECHET distribution. Also, how to generate the random numbers for Frechet using these three estimated parameters. Thanking in advance Maithili

Dear R helpers If for a given data, I need to calculate Mean, Standard Deviation, Mode, Median, Skewness, Kurtosis, is there any package in R, which will calculate these moments? Individually I can calculate these, but if there is any function which will calculate these at a stretch, please let me know. Maithili The INTERNET now has a personality. YOURS! See your Yahoo! Homepage.

Hi R helpers, I have two matrices A and B of the order (4 * 5) and (5 * 3) respectively. How to multiply these two matrices to obtain resultant matrix of the order (4 * 3). Thanks in advance With regards Maithili

Hi! I am working on scorecard model and I have arrived at the regression equation. I have used logistic regression using R. My question is how do I validate this model? I do have hold out sample of 5000 customers. Please guide me. Problem is I had never used Logistic regression earlier neither I am used to credit scoring models. Thanks in advance Maithili

Dear R helpers   I have two series A and B as given below -   A <- c(2, 2, 1, 3, 7, 3, 3, 1, 14, 7, 31) B <- c(0.0728,0.9538,4.0140,0.0020,2.5593,0.1620,2.513,0.3798, .0033,0.2282, 0.1614)   I need to calculate the total in dataset B corresponding to the numbers in dataset A i.e. for no 1 in A, I need the total as 4.0140+0.3798 (as 1 is repeated twice) for no 2, I need the total as

Hi all -- I'm seeing the following commands reliably produce a crash in RGui, version 2.0.1, for both my home and office machine: > rm(list = ls(all = TRUE)); > load("dataset.R"); > library("wle"); > data.wle = wle.lm(abortion ~ year * lib.con + age + gender + + urbanism + census + income + church.att + children + educ + + religion.imp, data =

Dear R helpers   Suppose   M <- c(1:10)      #  length(M) = 10 N <- c(25:50)     #  length(N) = 26    I wish to have an outut file giving M and N. So I have tried   write.csv(data.frame(M, N), 'output.csv', row.names = FALSE)   but I get the following error message   Error in data.frame(M, N) :   arguments imply differing number of rows: 10, 26   How do I modify my write.csv

Dear R helpers I have following table Name                 no_of_instances                    AAA                             12                                AA                               17                                A                                  0                                    BBB                             11                                 BB                        

Dear R Helpers, Is there any literaure available (including R code) on Fast Fourier Transform being used in CreditRisk+? I need to learn how to apply the Fast Fourier Transform. I agree I am too vaue in my question and sincerely apologize for the same, but I am not able to understand as to where do I start for this particular assignment. I tried to search google for CRAN and Fast Fourier

Dear R helpers,   I understand that this is absolutely unprofessional on my part and this group doesn't entertain such things. I have been associted with this group since last 1 and half years and have been immensely benefited by the noble service rendred by many R helpers.   So I take this opportunity to thank all of you and wish you all   "MERRY CHRISTMAS".   I sincerely apologize

Dear R helpers Suppose I have a portfolio of securities with exposure to Equity, Bonds and Forex (say $ 1000000 each). Is there any fucntion in R that will help me calculate Value at Risk (VaR) using Monte carlo Simulation , Historic simulation and Variance - Covariance Simulation. With regards Maithili

Hi R helpers, Is there any function in R, which generates random numbers in case of (1) Generalized Extreme Value distribution and (2) Generalized PAreto distribution for the respective given set of parameters? Regards Maithili