similar to: R session dies on lattice::show.settings()

Displaying 20 results from an estimated 900 matches similar to: "R session dies on lattice::show.settings()"

2025 Feb 12
1
Unexpected result after auto-attaching of the Matrix package
Why aren't you loading the package before you load the object that assumes the relevant methods for that object are available? On February 11, 2025 4:51:48 AM PST, H B via R-help <r-help at r-project.org> wrote: >Dear all, > >I just stumbled on this behavior - not sure if this is expected: > >R version 4.4.2 (2024-10-31) -- "Pile of Leaves" >Copyright (C)
2025 Feb 11
2
Unexpected result after auto-attaching of the Matrix package
Dear all, I just stumbled on this behavior - not sure if this is expected: R version 4.4.2 (2024-10-31) -- "Pile of Leaves" Copyright (C) 2024 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu > library(Matrix) > sparseMatrix(i=1:10, j=1:10, x=rnorm(10)) |> saveRDS("~/Downloads/sparsemat_test.rds") > q() Save workspace image? [y/n/c]: n
2024 Apr 23
1
System GMM yields identical results for any weighting matrix
A copy of this question can be found on Cross Validated: https://stats.stackexchange.com/questions/645362 I am estimating a system of seemingly unrelated regressions (SUR) in R. Each of the equations has one unique regressor and one common regressor. I am using `gmm::sysGmm` and am experimenting with different weighting matrices. I get the same results (point estimates, standard errors and
2024 Sep 20
1
model.matrix() may be misleading for "lme" models
Dear r-devel list members, I'm posting this message here because it concerns the nlme package, which is maintained by R-core. The problem I'm about to describe is somewhere between a bug and a feature request, and so I thought it a good idea to ask here rather posting a bug report to the R bugzilla. I was made aware (by Ben Bolker) that the car::Anova() method for "lme"
2024 Apr 23
1
System GMM yields identical results for any weighting matrix
Generally speaking, this sort of detailed statistical question about a speccial package in R does not get a reply on this general R programming help list. Instead, I suggest you either email the maintainer (found by ?maintainer) or ask a question on a relevant R task view, such as https://cran.r-project.org/web/views/Econometrics.html . (or any other that you judge to be more appropriate).
2024 Feb 07
2
Difficult debug
I haven't done any R memory debugging lately, but https://www.mail-archive.com/rcpp-devel at lists.r-forge.r-project.org/msg10289.html shows how I used to have gdb break where valgrind finds a problem so you could examine the details. Also, running your code after running gctorture(TRUE) can help track down memory problems. -Bill On Wed, Feb 7, 2024 at 12:03?PM Therneau, Terry M., Ph.D.
2024 Feb 07
2
Difficult debug
?I've hit a roadblock debugging a new update to the survival package.?? I do debugging in a developement envinment, i.e. I don't create and load a package but rather? source all the .R files and dyn.load an .so file, which makes things a bit easier. ? Running with R -d "valgrind --tool=memcheck --leak-check=full" one of my test files crashes in simple R code a dozen lines
2024 Jun 15
1
Hard crash of lme4 in R-devel
I ran across this by accident when working up an example. It uses a data set from the survival package, but nothing else from there. Fails on the Intel machine shown below, and on a virtual linux instance on a newer Mac. Terry > library(survival) > library(lme4) Loading required package: Matrix > sessionInfo() R Under development (unstable) (2024-06-14 r86747) Platform:
2024 Apr 23
0
System GMM fails due to computationally singular system. Why?
A copy of this question can be found on Cross Validated: https://stats.stackexchange.com/questions/645610 I am estimating a system of seemingly unrelated regressions (SUR) with `gmm::sysGmm` in R. Each of the equations has one unique regressor and one common regressor. The common regressor is a dummy variable indicating the last observation (n-1 zeros followed by 1). I impose a restriction that
2024 Sep 21
1
model.matrix() may be misleading for "lme" models
Dear list members, After further testing, I found that the following simplified version of model.matrix.lme(), which omits passing xlev to the default method, is more robust. The previous version generated spurious warnings in some circumstances. model.matrix.lme <- function(object, ...){ data <- object$data if (is.null(data)){ NextMethod(formula(object),
2024 Sep 24
2
Question about Date Object and time zones
Hello, I have a question regarding the date objects and timezones. My current understanding is, that a Date object does only save the days from the origin and no more information about timezones or other information (please correct me if I am wrong). But if I use d = as.Date("2024-11-11") or d = as.Date("2024-11-11", tz="America/New_York") the date object is
2007 Oct 01
4
how to plot a graph with different pch
I am trying to plot a graph but the points on the graph should be different symbols and colors. It should represent what is in the legend. I tried using the points command but this does not work. Is there another command in R that would allow me to use different symbols and colors for the points? Thank you kindly. data(mtcars) plot(mtcars$wt,mtcars$mpg,xlab= "Weight(lbs/1000)",
2011 Dec 13
1
How to add points to two plots parallelly ?
I am looking for ways to add points to three different plots in parallel. I generate three scatter plots and name them as s3d1, s3d2 and s3d3 s3d1<-scatterplot3d(mtcars[,3],mtcars[,4],mtcars[,5],main="common",pch=20) s3d2<-scatterplot3d(mtcars[,3],mtcars[,4],mtcars[,5],main="common",pch=20)
2013 Apr 12
3
Why copying columns of a data.frame becomes numeric?
Dear list, I want the 1st, 2nd, 5th, and 6th columns of mtcars. After copying them, the columns become numeric class rather than data frame. But, when I copy rows, they data frame retains its class. Why is this? I don't see why copying rows vs columns is so different. > class(mtcars) [1] "data.frame" > head(mtcars) mpg cyl disp hp drat wt qsec vs
2020 Apr 16
6
suggestion: "." in [lsv]apply()
Hi, I would like to make a suggestion for a small syntactic modification of FUN argument in the family of functions [lsv]apply(). The idea is to allow one-liner expressions without typing "function(item) {...}" to surround them. The argument to the anonymous function is simply referred as ".". Let take an example. With this new feature, the following call
2012 Mar 15
2
Ggplot barchart drops factor levels: how to show them with zero counts?
Hello, When plotting a barchart with ggplot it drops the levels of the factor for which no counts are available. For example: library(ggplot) mtcars$cyl<-factor(mtcars$cyl) ggplot(mtcars[!mtcars$cyl==4,], aes(cyl))+geom_bar() levels(mtcars[!mtcars$cyl==4,]) This shows my problem. Because no counts are available for factorlevel '4', the label 4 dissapears from the plot. However, I
2020 Apr 16
2
suggestion: "." in [lsv]apply()
I'm sure this exists elsewhere, but, as a trade-off, could you achieve what you want with a separate helper function F(expr) that constructs the function you want to pass to [lsv]apply()? Something that would allow you to write: sapply(split(mtcars, mtcars$cyl), F(summary(lm(mpg ~ wt,.))$r.squared)) Such an F() function would apply elsewhere too. /Henrik On Thu, Apr 16, 2020 at 9:30 AM
2010 Aug 04
3
retrieve name of an object?
Dear all Is there an easier way to retrieve the name of an object? For example, > tmp <- 1:10 > as.character(quote(tmp)) [1] "tmp" > as.character(quote(mtcars$cyl)) [1] "$" "mtcars" "cyl" > as.character(quote(mtcars$cyl))[3] [1] "cyl" The last call more than anything seems a hack. Is there a better way? Thank you Liviu
2011 Jun 21
5
omitting columns from a data frame
Dear R People: I have a data frame, xm1, which has 12 rows and 4 columns. If I put is xm1[,-4], I get all rows, and columns 1 - 3, which is as it should be. Now, is there a way to use the names of the columns to omit them, please? Thanks so much in advance! Sincerely, Erin -- Erin Hodgess Associate Professor Department of Computer and Mathematical Sciences University of Houston - Downtown
2012 Feb 17
1
Dataframe subset - why doesn't this work?
data(mtcars) mtcars[rownames(mtcars)!="Valiant",] # fails mtcars[list(rownames(mtcars))!="Valiant",] # runs but I am not getting the expected result With the latter statement, I expected all rows except the one where the name is "Valiant". I must have got something simple wrong; what is it? Thanks. [[alternative HTML version deleted]]