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.
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