similar to: calculate differences - strange outcome

Dear Everyone, I try to automatically manipulate the data of a variable (class = factor) like x 220 220a 221 221b B221 Into two variables (class = numeric) like x y 220 0 220 1 221 0 221 1 221 1 y has to carry the information about the class (number or string) of the former x-Variable. I could do it by hand like x[x == "220a"] <- 220

Dear list, I'm looking for a way to select rows of a data.frame with changing number of columns (constraint) involved. Assume a data (d) structure like Var.1 Var.2 Var.3 9 2 1 2 9 5 1 2 1 I know the number of involved columns. Is there a way to generate the following selection automatically (maybe for loop), so that it makes no difference if there are two or ten columns involved.

Dear list, I'm looking for a way to count the number of "|" within an object. The character "|" is used to separated ids. Assume a data (d) structure like Var NA NA NA NA NA 1 1|2 1|22|45 3 4b|24789 I need to know the maximum number of ids within one object. In this case 3 (1|22|45) Does anybody know a better way? Thanks Mit freundlichen Gr??en Andreas Kunzler

Dear List, I ran into some problems with time-series-Data. Imagine a data-structure where observations (x) of test attendants (i) are made a four times (q) a year (y). The data is orderd the following way: I y q x 1 2006 1 1 1 2006 3 1 1 2006 4 1 1 2007 1 1 1 2007 2 1 1 2007 3 1 1 2007 4 1 2 2006 1 1 3 2007 1 1 3 2007 2 1 I am looking for a way to count the attendants that at least have

Dear Everyone, I try to create a cvs-file with different results form the table function. Imagine a data-frame with two vectors a and b where b is of the class factor. I use the tapply function to count a for the different values of b. tapply(a,b,table) and I use the table function to have a look of the frequencies as a total table(a) I would like to put both results together in one txt or

Dear List, I try to order the output of a table by the frequencies of the vector I am look at. The object I am looking at is a factor with a lot of levels that were named only once. Therefore it would be much easier to order the output by the frequencies of the levels. E.g. > levels(a) "a" "b" "c" "d" Preferred outcome: table(a) b c a d 10 5 1 1

I am a newbie to asterisk and am trying to send a linux command using extensions in asterisk, for example when I dial 1111 I want to run the linux command "/usr/local/bin/br -c -n 1" (obviously without the quotes). If I SSH into my asterisk box and enter that command, it works, however I can't seem to get it to work from asterisk. I am running Asterisk@home2.2 (I know, I am a

Dear List, I have Multi-level Data i= Indivitual Level g= Group Level var1= First Variable of interest var2= Second Variable of interest and I want to count the frequency of "var1" and "var2" on the group level. I found a way, but there must be a much simpler way. data.ml <- data.frame(i=c(1:8),g=as.factor(c(1,1,1,2,2,3,3,3)),var1=c(3,3,3,4,4,4,4 ,4),

I would like to use smbmount on a SGI running IRIX 6.5.1m. The distribution of samba for IRIX does not include the executables smbmount or smbmnt. Is there a source for these executables? Regards, Fred -------------------------------------- Fred Kunzler Phone: (281) 575-5090 91-1SE-42C Pager: (800) 618-5062 10200 Bellaire Blvd. Fax: (281) 575-5473 Houston, TX 77072 E-mail:

I have installed Samba 2.0.4a on SGIs running IRIX 6.5. My PC is running NT Workstation SP 3. I have a problem saving documents from MS Word 97 SP 1. If I create a new document and attempt to save it to a Samba share I get the following error message: Word cannot complete the save due to a file permission error. (G:\XX\TEST.DOC). A listing of the directory from Unix shows the following:

Hi I looking a good IAX service for a *emerging * voip provider. Better with a test account to try. Thanks in advance. roberto -- Ing. Roberto Pereyra ContenidosOnline Servidores BSD, Solaris y Linux Soporte t?cnico ISPs Jabber ID: rpereyra@lugmen.org.ar For reliable and professional DNS, use DNS Made Easy! http://www.dnsmadeeasy.com/u/14989 -------------- next part

I read enourmous comment about this questions stating that it was answered before.? I?have been looking for the answer for a week without luck !!!? I searched the archives the xts. vignitte , googled for an answer but couldn't find one so her it is: ? the Vignette states that xts "doesn't inforce the duplicate row requirement" but yet when I try to bring in tick stock data from

Estimados Este es el test de friedman que se logra asi library(PMCMR) y <- matrix(c( 3.88, 5.64, 5.76, 4.25, 5.91, 4.33, 30.58, 30.14, 16.92, 23.19, 26.74, 10.91, 25.24, 33.52, 25.45, 18.85, 20.45, 26.67, 4.44, 7.94, 4.04, 4.4, 4.23, 4.36, 29.41, 30.72, 32.92, 28.23, 23.35, 12, 38.87, 33.12, 39.15, 28.06, 38.23, 26.65),nrow=6, ncol=6, dimnames=list(1:6,LETTERS[1:6])) print(y)

Dear R Users, I would like to use R to fit a Weighted Least Square model for a binary outcome, say Y. The model is the one widely used for a binary dependent variable when the logistic model has not been proposed. Does anyone know how to specify the weight as the square root of 1/(E(Y)(1-E(Y)) in lm() or any other regression functions? I know that varPower() in the package of gls() can provide

Hi! I'm pretty raw when working with the R models (linear or not). I'm wondering has anybody worked with the NLME library and dichotomous outcomes. I have a binary outcome variable that I woul like to model in a nested (multilevel) model. I started to fit a logistic model to a NLS function, but could not suceed. I know there are better ways to do it in R with either the LRM or GLM wih

Hi there Within sampleSelection, I'm trying to calculate the marginal effects for variables that are present in both the selection and outcome models. For example, age might have a positive effect on probability of selection, but then a negative effect on the outcome variable. i.e. Model<-selection(participation~age, frequency~age, ...) Documentation elsewhere describes one method for

Hi everyone, I think the following error is slightly odd: > fred <- new.env() > happy <- function() fred > happy() <environment: 0x8a425b8> > attr(happy(), "foo") <- 1:10 Error: invalid (NULL) left side of assignment But naturally this works > attr(fred, "foo") <- 1:10 > fred <environment: 0x8a425b8> attr(,"foo") [1] 1

Hi Folks, I'd be grateful for suggestions about approaching the following kind of data. I'm not sure what general class of models it is best situated in (that's just my ignorance), and in particular if anyone could point me to case studies associated with an R approach that would be most useful. Suppose I have data of the following kind. Each "subject" is observed at say 4

Hello everyone, I want to do a meta-analysis of case-control studies on which an OR was computed based on a continuous exposure. I have found several several packages (metafor, rmeta, meta) but unless I misunderstood their main functions, it seems to me that they focus on two-group comparisons (binary independent variable), and do not have the option of using a continuous independent variable.

Hi, I just completed a really big rsync described earlier. Ie about 13,945 directories transfered about 600GB of data. Of 13,945 directories, 13,9441 directories transfer with matching du -b sizes of the preimage to the size of the destination machine image. of the 4 remaining directories i found source vs destination in bytes --------- a) 20480 vs 34922496 b) 28672 vs