similar to: iteration history

Hi, I''ve run linux off an on for several years. Recently I''ve been using windows (simply for ease), but have gotten so fed up with stability and what not. I had read good things about xen, so I installed suse and was hoping to not give up the 10% of things that I need windows for. I''ve still got windows on a partition and was wondering if I could boot that, but wanted

I all I am just trying to get the idea of a loop if statement for another purpose. I was going to label a new variable based on date ie first week 1, second week 2 etc. My code in bold is wrong but seems logical to me, could someone help. x <- rep(c(2660156,2663703,2658165,2659303,2661531,2660914),c(2,2,2,2,1,1)) y <- rep(c(6476767,6475013,6475487,6479659,6477004,6476388),c(2,2,2,2,1,1))

> > >From: robert-mcfadden w o2.pl > > >Date: 2008/04/02 Wed AM 09:58:28 CDT > > >To: r-help w r-project.org > > >Subject: [R] Nonlinear equation > > > > hi: you need to give an example and details or > > you won't get much response, if any. Equation e.g. (A, B are known constants): 3log(gamma(x))-log(gamma(x)*gamma(2x))+(x-1)*A+B=0

Dear R Users, Is it possible to make file names dependent on a changing variable? For instance. I generate random numbers in a loop and at each iteration I want data to write to file (I do not want to write everything in one file using 'append'): for (i in 1:50){ x<-matrix(runif(100, min=0,max=1),nrow=5,ncol=20) Write(t(x),file="Data_i.txt",ncolumns=5,sep="\t") }

Hi R users I apologise in advance for this question as I suspect it is simple and perhaps others have had this problem. I am struggling to sort out how to fix the x axes so that the labels don't overlap. I have put the following example together to show my problem. library(lattice) titre <- as.factor(rep(c(10999,20999,30999,40999,50999,60999,

Hi all I am trying to do a simple recode which I am stumbling on. I figure there must be any easy way but haven't come across it. Given data of A","B","C","D","E","A" it would be nice to recode this into say three categories ie A and B becomes "Treat1", C becomes "Treat 2" and E becomes "Treat 3". I tried

Hi all I know this must be an easy one so sorry for the trouble. I would like to select a list of variables within a factor The following example is given in help for subset: subset(airquality, Temp > 80 select = c(Ozone, Temp)) So how do I select all temperatures of 90 and 80 ie Temp = c(80,90) I would appreciate your help. Kind regards andy Andrew McFadden MVS BVSc Incursion

Hi R users I am trying to create a spatial join between two datasets. The first data set is large and contains descriptive data including x and y co-ordinates. The second dataset is small and has been selected spatially. The only data contained within the second dataset is the x and y coordinates only i.e. no descriptive data. The aim of a join made between the two datasets is to select

Dear all, can somebody please help me how to calculate "McFadden R-square" for a LOGIT model? Corresponding definition can be found here: http://publib.boulder.ibm.com/infocenter/spssstat/v20r0m0/index.jsp?topic=%2Fcom.ibm.spss.statistics.help%2Falg_plum_statistics_rsq_mcfadden.htm Here is my data: Data <- structure(c(1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1,

I all I am trying to combine columns from two dataframes to make a completely new dataframe consisting of one column of dates (ie a combination of dates from the two dataframes). >From the following dataframes a b 1 2008-07-27 1 2 2008-10-01 2 3 2008-08-15 3 4 2008-08-14 4 5 2008-08-14 5 6 2008-09-20 6 c d 1 2008-07-27 1 2 2008-10-01 2 I would like to get: z

I would like to assign a variable y the string: <question><span style="color: #0000FF; font-weight: bold; font-size: 14pt"> How can I do it - is it possible? Best, Robert

Hi all The code of trying to write relates to selecting properties (given by x and y co-ordinates) spatially (distance "X" from "infected" properties identified by date) over a certain time period. i.e. what properties are within 3 km from properties infected on "2008-01-01" over the last 14 days. Is any one able to give me some clues on how to write code to solve

I am trying to find out if someone has implemented a (McFadden-type) multivariate binary logistic regresssion package for R? From what I can tell, this is not available for R. Thank you, Lynne Baker [[alternative HTML version deleted]]

Dear R Users, I have a matrix A, and I want to change every value of this matrix if these values are greater than an assuming value. For a vector it is simple, e.g. a<-c(1:10); a[a>5]<-0. Of course, I can change matrix to vector, assign a value then change vector to matrix. But does there exist simpler way? Any suggestion are appreciate. Rob

Dear R Users, I hope that there is someone who has an experience with a problem that I describe below and will help me. I must buy new desktop computer and I'm wondering which processor to choose if my only aim is to speed up R. I would like to reduce a simulation time - sometimes it takes days. I consider buying one of them (I'm working under Win XP 32 bit): 1. Intel Core2 Duo E6700

Dear R Users, I'm trying to find function that allow me to solve one nonlinear equation. Functions that I found are good for optimization problems. Any suggestions are welcome, rob

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I would like to merge two parts of words to get a name of the data. First M3$N (invariable) and second is a number from 0001 to 3003 - M3$N0001,M3$N0002,...,M3$N3003. For example if I do it like this: my.data <- paste("M3$N",2456,sep="") I get > my.data [1] "M3$N2456" But I want to get something equivalent to my.data<- M3$N2456 Is there any way to do it?

Hi I have estimated parameters of my data with mlogit and the following commands. I would like to know also the McFadden R^2 and the intercept, could soweone tell me how that can be done? library(RODBC) library(mlogit) library(foreign) z<-odbcConnectExcel("D:\\MALLI11ARVOT.xls") y<-sqlFetch(z,"Taul1")

Hi, For fun, I'm trying to throw some horse racing data into either an svm or lrm model. Curious to see what comes out as there are so many published papers on this. One thing I don't know how to do is to standardize the probabilities by race. For example, if I train an LRM on a bunch of variable I get a model. I can then get probability predictions from the model. That works.