similar to: capture.output(eval(..., envir)) not evaluate in the expected(?) environment

R-users & helpers: I am using Amelia, mitools and cmprsk to fit cumulative incidence curves to multiply imputed datasets. The error message that I get "Error in eval(expr, envir, enclos) : invalid 'envir' argument" occurs when I try to fit models to the 50 imputed datasets using the "with.imputationList" function of mitools. The problem seems to occur

Dear R useRs, with the following piece of code i try to find the first value which can be calculated without warnings `test` <- function(a) { repeat { ## hide warnings suppressWarnings(log(a)) if (exists("last.warning", envir = .GlobalEnv)) { a <- a + 0.1 ## clear existing warnings rm("last.warning", envir = .GlobalEnv) }

Hi R-listers, I am trying to make a trellis boxplot with the HSuccess (y-axis) in each Rayos (beach sections) (x-axis), for each Aeventexhumed (A, B, C) - nesting event. I am not able to do so and keep receiving: Error in eval(expr, envir, enclos) : object 'Rayos' not found Please advise, Jean require(plyr) resp <- read.csv("ABC Arribada R File Dec 12 Jean

I am working with a largish dataset of 25k lines and I am now tying to use predict. pred = predict(cuDataGlmModel, length + meanPitch + minimumPitch + maximumPitch + meanF1 + meanF2 + meanF3 + meanF4 + meanF5 + ratioF1ToF2 + rationF3ToF1 + jitter + shimmer + percentUnvoicedFrames + numberOfVoiceBreaks + percentOfVoiceBreaks + meanIntensity + minimumIntensity + maximumIntensity +

Hello. What happens in the following is that I create two simple functions, f and g, on the workspace. Then I replace g. When I then call f, it uses the old version of g. Now clearly, the circumstances for this to happen must be quite special and rare. But I'd say they're not pathological. It seems to require two things: 1) masked versions of f and g on a search position lower down the

I am absolutely new to R and I am aware of only a few basic command lines. I was running a robust regression in R, using the following command line library (MASS) rfdmodel1 <- rlm (TotalEmployment_2004 ~ MISSISSIPPI + LOUISIANA + TotalEmployment_2000 + PCWhitePop_2004 + UnemploymentRate_2004 + PCUrbanPop2000 + PCPeopleWithACollegeDegree_2000 + PCPopulation.of.or.over.65.years.of.age_2004)

> datafilename="E:/my documents/r/sex/bysex1.csv" > data.sex=read.table(datafilename,header=T) > data.sex y.sex.age.region.c.n 1 1980,F,A,N,-18.15,13.61 2 1980,F,A,N,-18.61,13.04 3 1980,F,A,N,-18.81,12.32 4 1990,F,A,N,-21.12,11.7 5 1990,F,A,N,-20.77,11.58 6 1990,F,A,N,-21.6,13.34 7 1990,F,A,N,-21.78,12.6 > model.anova<-aov(c~age*sex,data=data.sex)

Dear friends, I am testing glm as at page 514/515 of THE R BOOK by M.Crawley, that is on proportion data. I use glm(y~x1+,family=binomial) y is a proportion in (0,1), and x is a real number. I get the error: In eval(expr, envir, enclos) : non-integer #successes in a binomial glm! But that is exactly what was suggested in the book, where there is no mention of a similar warning. Where am I

Hi, R-help, (sessionInfo at the end) I'm trying to construct a function using bquote and running into a strange error message. As an example, what I would like to do is this: z <- 2 eval(bquote(function(x, y) { x^.(z) + y }))(2, 3) However, I get the following: Error in eval(expr, envir, enclos) : invalid formal argument list for "function" However, if I change the

Hi.. i have an expression of the form: model1<-nls(y~beta1*(x1+(k1*x2)+(k1*k1*x3)+(k2*x4)+(k2*k1*x5)+(k2*k2*x6)+(k3*x7)+(k3*k4*x8)+(k3*k2*x9)+(k3*k3*x10)+ (k4*x11)+(k4*k1*x12)+(k4*k2*x13)+(k4*k3*x14)+(k4*k4*x15)+(k5*x16)+(k5*k1*x17)+(k5*k2*x18)+(k5*k3*x19)+

I've noticed that the processing time for the default capture.output() grows exponentially in the number of characters outputted/captured. The default settings sinks to a temporary textConnection(). When instead sinking to a rawConnection(), the processing time becomes linear. See below example and attached PNG figure [also at

I have a for-loop in my code that calls another .R file: source("estimation.R") This file runs through without any problems, so the program completes the loop one time. However, when the loop starts a second time and it comes time to call the file "estimation.R" again, program stops and prints the following error message: "Error in eval.with.vis(expr, envir, enclos) :

In ?eval, it says ? ? ... ?If ?envir? is not ? ? specified, then the default is ?parent.frame()? (the environment ? ? where the call to ?eval? was made). I tried the following example with "eval(expr)" ?and "eval(expr, parent.frame())" in f(). The results are different, which are not consistent with the help. Could somebody let know whether I misunderstand the help? Or there

Dear all I tried to use regression to predicted mu data, but it has error like this: > IWJR.complete x y [1,] 33.17635 2.4705021 [2,] 81.61225 3.3815620 [3,] 65.47392 1.6518975 [4,] 57.97806 1.6110785 [5,] 76.05528 2.1601246 [6,] 41.36090 1.5498132 [7,] 68.77844 2.8078691 [8,] 55.57040 2.1183063 [9,] 41.29287 1.8015709 [10,] 65.43935 2.3483183 [11,] 22.44821

Hi all, I ran into a strange error: I am trying to create a package skeleton for a new source package from within a function. Objects that are created in this function are to be included in my package, but for some reason, I get an error message saying that these objects cannot be found. Here is the code: ###### myfun <- function(pkgName,x){ myenv <- new.env() apply(x, 1,

I'm running an LSODA to generate some graphs, but I need to stop at a certain point and use those values to generate another LSODA output. This is working fine, but when I try to run the second LSODA, I get the "Error in eval(expr, envir, enclos) : object 'N' not found". Any ideas what can be causing this? I have no object 'N' anywhere in the script. I made an

Hi R-listers, I am trying to better undertand what we would call "functional paradigm" use of S/R to better map my programming activities in other languages. This little function is aimed to create an object (at the end end, it would have it's own class): -- myObject =function(){ list( a=1, foo=function(b) { cat("b:",b)

Dear list, I am trying to understand and use the ff package. As I had some problems saving some ff objects, and as I did not fully manage to understand the whole concept of *.ff, *.ffData and *.RData with the help of the documentation, I tried to reproduce the examples from the help of ffsave. When I ran, however : (copied from the help) message("let's create some ff objects")

OBJECTIVE: To update source(..., print.eval=FALSE) to not use withVisible() unless really needed. This avoids unnecessary increases of reference counts/NAMED introduced by withVisible(), which in turn avoids unnecessary memory allocations and garbage collection overhead. This has an impact on all source():ed scripts, e.g. pre-allocation of large matrices to save memory does *not always* help in

Hi Tomas, I received a report about R 4.0.0 in the knitr package (https://github.com/yihui/knitr/issues/1840), and I think it is related to the issue here. I created a minimal reproducible example below: owd = setwd(tempdir()) z = 'K\u00e4sch.txt' file.create(z) list.files() file.exists(list.files()) setwd(owd) Output: > owd = setwd(tempdir()) > z = 'K\u00e4sch.txt' >