search for: milicic

Dear all, I'm trying to process HUGE datasets with R. It's very fast, but I would like to optimize it a bit more, by focusing one one column at time..... say file is 1GB big and has 100 columns..... In order to prevent "out of memory" problems.... I need to load one column at the time.... the only problem is that read.table doesn't support this feature.... Is there some

Dear R users, I'm new but already fascinated R user so please forgive for my ignorance. I have the problem, I read most of help pages but couldn't find the solution. The problem follows.... I have large data set 10,000 rows and more than 100 columns... Say something like var1,var2,var2,var4.......var120 ------------------------------------------- 12,12,345,657,67,8.....

Hi I would like to do the following: I have created an admin namespace and the required folders app/admin views/admin etc. And then I wanted all controllers under app/admin to inherit from a controller named AdminController which resists under app/admin/admin.rb instead of inhereting from ApplicationController, so I could better separate between admin and public section. The AdminController

Hi all R helpers, I'm trying to comeup with nice and elegant way of "detecting" consecutive increases/decreases in the sequence of numbers. I'm trying with combination of which() and diff() functions but unsuccesifuly. For example: sq <- c(1, 2, 3, 4, 4, 4, 5, 6, 5, 4, 3, 2, 1, 1, 1, 1, 1); I'd like to find way to calculate a) maximum consecutive increase = 3 (from 1

Dear R helpers, I'm trying to build logistic regression model large dataset 360 factors and 850 observations. All 360 factors are known to be good predictors of outcome variable but I have to find best model with maximum 10 factors. I tried to fit full model and use stepAIC function to get best model but unfortenatly, the process takes too long to complete (more than 4 hours)... Is it

Hi R helpers, I'd like to see source code for some of built-in R functions... for example, I would like too see how "na.omit" was implemented? Thanks?

Hi, What I'm trying to achieve is very fast algorithm for fitting logistic regression model. I have to estimate regression coeficients using about 10k observations. Once I have coefficients estimated, new 100 rows of data becomes available.... Now I need to reestimate coeficients using 100 newly arrived observations and removing 100 oldest observations. So, my question is would it be

Hi R helpers, I'm preparing dataset to fir logistic regression model with lrm(). I have various cointinous and discrete variables and I would like to: 1. Optimaly discretize continous variables (Optimaly means, maximizing information value - IV for example) 2. Regroup discrete variables to achieve perhaps smaller number of level and better information value... Please suggest if there is

...39;s Topics: 1. Calculating interval for conditional/unconditional correlation matrix (Ana Kolar) 2. How to plot "greater than" symbol on the x-axis (Li, Bingshan) 3. Re: How to plot "greater than" symbol on the x-axis (John Fox) 4. Re: Design lrm function (milicic.marko) 5. Re: How to plot "greater than" symbol on the x-axis (Li, Bingshan) 6. Re: How to plot "greater than" symbol on the x-axis (John Fox) 7. Re: periodicity validation (stephen sefick) 8. Task View for Chemometrics and Computational Physics (Katharine Mull...

Dear R Helpers, At the moment I'm working on the project to implement "optimal binning" function. It will be primarily used as a tool for logistic regression..... something very similar to http://www2.sas.com/proceedings/forum2008/153-2008.pdf* *but applied in diferent problem space...* *The problem might be descibed as finding optimal binning which will satisfy all of the rules

Would it be possible to get data from uk.finance.yahoo.com instead from finance.yahoo.com. Thanks

Hello, I have the data set of 1 + 49 variables. One of them is binary other are continous. I would like to be able to fit the model with all 49 variables and then run stepwise model selction. I'd appriciate some code snippets...

Hi R helpers, I'm fitting large number of single factor logistic regression models as a way to immediatly discard factor which are insignificant. Everything works fine expect that for some factors I get error message "Singular information matrix in lrm.fit" which breaks whole execution loop... how to make LRM not to throw this error and simply skip factors with singularity