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Dear WizaRds, I would like to fit a curve to ten points with nls() for one unknown parameter gamma in the Kahnemann/ Tversky function, but somehow it won't work and I am unable to locate my mistake. p.kum <- seq(0.1,1, by=0.1) felt.prob.kum <- c(0.16, 0.23, 0.36, 0.49, 0.61, 0.71, 0.85, 0.89, 0.95, 1) ## how to find a function that fits these points nicely? plot(p.kum,

please help. why is it that i cannot open html help pages out of the R menu? here is what I do: using browser firefox1.0 (open source!), java plugin jre 150 installed, supposedly working properly. opening R201patched, html help, link:search engine and keywords: works properly, jre symbol appears. clicking on any link (keywords on that page): no reaction whatsoever. what am i doing wrong?

Dear WizaRds, unfortunately, I have been unable to replace the '99' and '999' entries in library(UsingR) attach(babies) as definitions for missing values NA, because sometimes the 99 entry is indeed a correct value. Usually, or so I thought, NAs can easily replace a, say, 999 entry via mymat[mymat==999] <- "yodl" in a matrix or data frame. Alas, the babies'

Dear Wizards - Thank you so much for your help. That was exactly what I was looking for. Now, I have been working on conditional selection of columns in a data frame. My goal is to calculate the total revenue per sales representative per status in a table. I have come to a complete stop: Let's say, we have a data.frame called df with several columns and a number of rows: df <-

Dear WizaRds, although this might be a trivial question to the community, I was unable to find anything solving my problem in the help files on CRAN. Please help. Suppose I have 4 variables and want to use all possible combinations: 1,2 1,3 1,4 2,3 2,4 3,4 for a further kmeans partitioning. I tried permutations() of package e1071, but this is not what I need. Thank you for your help and

Dear WizaRds! A trivial question indeed on selecting subsets in data frames. I am sorry. Unfortunately, I did not find any helpful information on the introduction, searched the help archive and read in introductory books. Please help: I want to select column "KB" which is read via read.csv2 as a data.frame into d. I checked that it is indeed a data.frame object and included the

Dear WizaRds, My goal is to program the VS-KM algorithm by Brusco and Cradit 01 and I have come to a complete stop in my efforts. Maybe anybody is willing to follow my thoughts and offer some help. In a first step, I want to use a single variable for the partitioning process. As the center-matrix I use the objects that belong to the cluster I found with the hierarchial Ward algorithm. Then,

Dear WizaRds, After consulting different sources I am still unable to understand the correct use of return() in nested functions. To illustrate the problem: f <- function(x,y,type){ est1<-function(x,y){ z=x+y out(x,y,z)} est2<-function(x,y){ z=x*y out(x,y,z)} out<-function(x,y,z) return(x,y,z) if (type=="est1") est1(x,y) if (type=="est2") est2(x,y) }

Dear WizaRds, I have been trying to compute the adjusted Rand index as by Hubert/ Arabie, and could not correctly approach how to define a partition object as in my last request yesterday. With package fpc I try to work around the problem, using my original data: mat <- matrix( c(6,7,8,2,3,4,12,14,14, 14,15,13,3,1,2,3,4,2, 15,3,10,5,11,7,13,6,1, 15,4,10,6,12,8,12,7,1), ncol=9, byrow=T )

Dear WizaRds, I am trying to compute the (adjusted) Rand Index in order to comprehend the variable selection heuristic (VS-KM) according to Brusco/ Cradit 2001 (Psychometrika 66 No.2 p.249-270, 2001). Unfortunately, I am unable to correctly use cl_ensemble and cl_agreement (package: clue). Here is what I am trying to do: library(clue) ## Let p1..p4 be four partitions of the kind

Dear WizaRds, I am struggling to compute correctly a cluster sampling design. I want to do one stage clustering with different parametric changes: Let M be the total number of clusters in the population, and m the number sampled. Let N be the total of elements in the population and n the number sampled. y are the values sampled. This is my example data: clus1 <-

Dear WizaRds, Working through sampling theory, I tried to comprehend the concept of stratification and apply it with Survey to a small example. My question is more of theoretic nature, so I apologize if this does not fully fit this board's intention, but I have come to a complete stop in my efforts and need an expert to help me along. Please help: age<-matrix(c(rep(1,5), rep(2,3),

Dear WizaRds! I am sorry to ask for some help, but I have come to a complete stop in my efforts. I hope, though, that some of you might find the problem quite interesting to look at. I have been trying to estimate parameters for lotteries, the so called utility of chance, i.e. the "felt" probability compared to a rational given probability. A real brief example: Given is a lottery

Dear WizaRds, I wrote a small function in R and would like to create a package. The necessary documentation is done, Rtools etc. are installed and I am still unable to complete the process under Windows. I did extensive research in the archives and read the Murdoch-Sutherland website on the Rtools and MikTeX hints. I realize that I understand only half or less of what is said there