similar to: Use a text variable's value to specify another varaible?

Full_Name: Lodewijk Bonebakker Version: v2.6.2 OS: Solaris, x86, snv_80 Submission from: (NULL) (192.18.43.225) when I build R in 32-bit mode on my 64-bit OS, R works as expected: R version 2.6.2 (2008-02-08) ... Type 'q()' to quit R. > m <- matrix(ncol=2,c(1:6)) > > m [,1] [,2] [1,] 1 4 [2,] 2 5 [3,] 3 6 > n <- log10(m) > n [,1]

Hi, I am having some problems with gigFit and would like confirmation on other platforms; mine is mint; basically Debian. Although I got a good fit for the density function with the GIG equation in another curve fitting program, I would really like to use R's tools for confidence intervals and manipulations; but the problems below make me uneasy. Problem one (from examples with parameter

Problem: I am trying to get the histogram and box plot x axis to match. I?ve tried using the expand_limits function to make the axis match but that didn?t make the axis match. The histogram?s axis are still consistently larger than the ones for the box plot (though the function did help). Does anyone have a suggestion as to what I should do instead? Background: I am building a Shiny app that

First, here's the problem I'm working on so you understand the context. I have a data frame of travel activity characteristics with 70,000+ records. These activities are identified by unique chain numbers. (Activities are part of trip chains.) There are 17,500 chains. I use the chain numbers as factors to split various data fields into lists of chain characteristics with each element of

Dear Specialists in R, May be somebody has experiment in using pakage for the book Quantitative Risk Management by McNeil? This package is writen in R. I have run this package for fitting the data to Nornal Inverse Gaussian distribution and fased with following problem. > Return<-read.csv("data.csv") > Transpose<-t(Return) > fit.NH(Transpose, case="NIG",

Dear list readers, I want to: 1. Get a table of basic descriptive statistics for my variables with the variable names one below the other like SPSS descriptive statistics: Varname N Min Max Mean SD xxxx x x x x x xxx x x x x x .... 2. Delete some variables from a data frame or exclude variables from beeing analyzed. 3. Create a text file / redirect the terminal output to a

Hello, I have simulated 30 observations from a binomial(5,0.1) distribution. Now I need to make frequency table( that means I need to tally how many 0's , 1's 2's....... 5's) I know that the simple R function table() will do this, but I am afraid that some times I may get zero frequency for some particular values (for example in the above there are 5-0's 10-1's ,

Hi Folks, I'm wondering if there's a secret trick to achieve the following. I have some big code for analysis related to a named variable, which will be one of several in the columns of a dataframe, and I would like to be able to choose between a run for just one of these variables, or a run which loops over them all. So, for a single run, I could have the following kind of thing in a

I would like to produce a bar plot with varying-width bars. Here is an example to illustrate: ww <- c(417,153,0.0216,0.0065,556,256,0.0162,0.0117, + 726,379,0.0358,0.0501,786,502,0.0496,0.0837, + 892,591,0.0785,0.0795) yy<-t(t(array(ww,c(2,10)))) barplot(yy[,2*1:5],las=1,space=c(.1,.5),beside=T) produces a barplot of 5 pairs of bars that are of equal width

I keep finding myself in a situation where I want to calculate a variable name and then use it on the left hand side of an assignment. For example iteration <- 1 varName <- paste("run",iteration,sep="") myList$parse(text=varName) <- aColumn I want to take some existing variable "aColumn" and use the name "varName" name for it and put it into a

Dear R users, I have a simple question on variable manipulation. Imagine I have an object "OBJ" that has "toto" as one of its variables. I would like to understand why if I do > varname <- "toto" >OBJ$varname returns no results whereas > OBJ[varname] returns the column entitled

Why doesn't this work? #Drop a variable name from a data frame DropLikeSAS <- function(x,df) { df[[x]] <- NULL 0 } DropLikeSAS("VarName", DataFrameName) Try it. The column VarName will not be deleted from the data frame DataFrameName. But x <-

Hello, Is the following a bug? I always thought that df$varname <- does the same as df["varname"] <- > df <- data.frame(weight=round(runif(10, 10, 100)), sex=round(runif(100, 0, 1))) > df$pct <- df["weight"] / ave(df["weight"], df["sex"], FUN=sum)*100 > names(df) [1] "weight" "sex" "pct" ###

Dear all, I have two probably very easy questions: (1) Is there a way to access certain variables by their string-based name representation? Example: numbers <- c("one", "two", "three") varname <- "numbers" print(varname[2]) (2) I need this functionality for a customized na.exclude() function that I am building, which should only exclude rows

splom() doesn't complain here, but writes no names in the diagonal boxes. What am I missing? I believe that I need to add something like grid.text(x, ...) to the diagonal panel, but I don't know how to get it cycle through the column labels. And should varname.col = 'blue', varname.cex = 1 be inside the diag.panel() function? splom(szw[, n], pscales = 0, diag.panel

getenv(<varname>) currently returns "" if the <varname> is undefined. However, if <varname> is defined but empty, getenv(<varname>) still only returns "". I think this is quite unfortunate but consistent with the prototype. --- I'd propose to change the current behavior. Something which should be pretty back compatible would for the first

Dear R community, I have one function, it works for small data set, but does not work on large data set, can anyone help me with this? > #creat new variable by dividing each aa dimer by total_length. > imper<-function(x, file) { + round(x/file$length, 5) + } > dim(test) [1] 999 2402 > test[varname[2:2401]]<-

Dear all I am looking for a shorter way and more elegant to write the following for (i in c(1:length(Shadowlist))){ filename<-paste('/home/apa/maps/',model,i,'.mat',sep="") varname<-paste(model,'_shadow',i,sep="") eval(parse(text=paste('writeMat(filename,',varname,'=Shadowlist[[i]])',sep=""))) } actually I do not

I've written a piece of code (see below) to do a wavelet image decomposition, during the evaluation of this code I would like to write the results of some calculations back to the R root directory. I used assign() to do so because the names should vary when going thrue a while() loop. For some unknown reason I get an error that says: Error in assign(varname[i], imwrImage) :

Hi All, I'm writing a code generation with my compiler. I read sever example and documentation but I did understand what I make wrong. What I try to do is a compare a local variable with a constant. But when I create a ICMP instruction I get that instruction are not of same type. I'm using llvm by svn repository updated at two week ago. The code that I try to generation is something