similar to: Package fgui returns error: Object of type closure is not subsettable

Hi everyone, Would somebody please explain (or point me to a reference that explains) the following error: "Error: object of type 'closure' is not subsettable" I was trying to use rep() to replicate a function: > example_function <- function() { return(TRUE) } > rep(example_function, 3) Error: object of type 'closure' is not subsettable But I just cannot

Hi All, I am trying to start R Server to run some Java Script in my local machine using the library, 'Rook'. I use Windows 7. And my codes are following, > library(Rook) > myD3dir <- 'D:\\STUDIES\\Java script\\d3-master' > s <- Rhttpd$new > s$start(quiet=TRUE) and i get the following error for the above line, Error in s$start : object of type

Hi all, when i run this script: >read.table("Angelika.txt",header=T,sep="\t") >mytable=read.table("Angelika.txt",header=T,sep="\t") >for ( dye in c("A","B","C","F","G","K","L","M")) + { + for (cond in 1:8) + { + measurement =

Hello folks: I have a data frame which includes two numeric vectors: "Pa1" and "Ingr" (which represents income).  I run the following code on the R console: ingreso <- factor(ifelse(Ingr<=3000,"bajo","alto")) tapply(Pa1,ingreso,summary) boxplot(Pa1~ingreso) and it works fine.  However, when I "Sweave" through an rnw file containing that

Hi all, How can I overcome the error "object of type 'closure' not subsettable" I ran the following script seq <- paste(seq(1914, 1916, by=1), "*.y", sep=".") # make sequence c <- 3 # total number of files d2 <- file # creates dummy file # Input sequence in loop for (i in 1:3){ list <- list.files("~/ukcp09/txt/x.djf", seq[[i]]) file

Dear R-users I need to calibrate kappa, rho, eta, theta, v0 in the following code, see below. However when I run it, I get: y <- function(kappahat, rhohat, etahat, thetahat, v0hat) {sum(difference(k, t, S0, X, r, implvol, q, kappahat, rhohat, etahat, thetahat, v0hat)^2)} > nlminb(start=list(kappa, rho, eta, theta, v0), objective = y, lower =lb, > upper =ub) Error in dots[[1L]][[1L]] :

Hello, I have a CSV file with region codes listed in a column. E.g. 'AS' for Asia, 'AU' for Australia and 'NA' North America. However, the data frame created using read.csv shows <NA> where the string variable should have had the value 'NA'. How can I input the value 'NA' present in a column in a CSV file without R changing it to missing? Thanks

I'm attempting to write a general function to implement Faraway's bootstrapping algorithm for mixed models with lmer, but have run into a curious problem. I'm comparing two models model.1<-lmer(Response ~ Treatment + (1|Trial), data=exp.data, method="ML") model.2<-lmer(Response ~ 1 + (1|Trial), data=exp.data, method="ML") When I attempt to update

hey there! The object 'cit' contains: > cit ##################################################### # Johansen-Procedure Unit Root / Cointegration Test # ##################################################### The value of the test statistic is: 5.3484 9.0681 10.6433 --------------- I want R to save the value 5.3484 in a new object. I am used to use the command x=cit[a] where a

Hi everyone I am using the wavelet and waveslim package in R to find the wave variance.Here is the code return.modwt<-modwt(X, filter="la8", n.levels=5, boundary="periodic", fast=TRUE) return.modwt.var<- wave.variance(return.modwt, type="nongaussian") Where X is a uni-variate time series. I am expecting a matrix with 5 rows(no. of levels) and 3

I fit a random effects linear model to data, and then tried to use it to predict, but I got this error: > predict(lmeObject, newdata, level=0) Error in eval(mCall$fixed)[-2] : object is not subsettable This is a new error for me. It still occurs if I change the level to 1 or if I change the data for prediction back to the original dataset to which the lme model was fitted. Can anyone help?

Hi everyone, I've got the following problem: I've got a matrix [1000,2] and two vectors. In very matrix row there is two coefficients b0 and b1. The vectors are two variables x and y. I want to do a loop to take b0 and b1 and with x and y calculate the residual of a linear model and calculate the second order coefficient of autocorrelation. What I did is : rho<-function(mat, x,y){

Dear colleagues, I've just come across a problem with the following command which is a part of the "metaOverview.R" code file provided as an monography- accompanying file at http://www.bioconductor.org/docs/mogr/metadata: ################################## R> hasChr <- eapply(GOTERM, function(x) + x[grep("chromosome", Term(x))]) Error in

I have class Debtortrans < ActiveRecord::Base has_many :debtortranstaxes, :foreign_key => ''debtortransid'', :class_name => ''debtortranstaxes'' belongs_to :debtor, :foreign_key => ''debtorno'' and class Debtortranstaxes < ActiveRecord::Base belongs_to :debtortrans, :foreign_key =>

Dear developers, I have a small but more or less well defined inquiry. Another, more general one for which I was not able to find information is towards the end of this messages. The question seems to be too technical for R-help, that is why I post it here. When installing packages (Windows XP), occasionally the installation does not complete because, it seems, Windows locks some files.

Hello all, Is there any R package that can develop a scorecard model for a binary target variable? More details: I want to create a scorecard based on the raw data I have. I have a binary target variable and a few numeric and character input variables. I want to bin the variables and assign a score to each of the bins. Each subject will be scored based on the bin it falls in for each

When I fit a multivariate linear model, and the formula is defined outside the call to lm(), the method summary.mlm() fails. This works well: > y <- matrix(rnorm(20),nrow=10) > x <- matrix(rnorm(10)) > mod1 <- lm(y~x) > summary(mod1) ... But this does not: > f <- y~x > mod2 <- lm(f) > summary(mod2) Error en object$call$formula[[2L]] <- object$terms[[2L]]

Hello all, I am looking for theories and statistical analyses where the defaults employed in R and SAS are different. As a result, the outputs under the defaults should (at least slightly) differ for the same input. Could anyone kindly point any such instance? Thanks Nikhil

With the current version of the "raster" package (that I maintain), R CMD check on packages "soilDB" and "PopGenReport" have this NOTE: Package: soilDB Check: data for non-ASCII characters New result: NOTE Error in .requirePackage(package) : unable to find required package 'raster' Calls: <Anonymous> ... .findInheritedMethods ->

Dear Sir/Madam, I have just installed R for Windows. I am trying to open a stata file and I have a problem. I have used the following commands: > install.packages("foreign") > library(foreign) > data.name <- read.dta(file.choose()) # then I choose a kelleya.dta file and click on open and then I use the following command: > summary(kelleya) Error in object[[i]]