similar to: Dispatch issue in package check?

The most likely explanation is you have a new version of dplyr/tibble and an old version of rlang. Try re-installing rlang. Hadley On Mon, Aug 14, 2017 at 9:26 AM, Szumiloski, John <John.Szumiloski at bms.com> wrote: > UseRs, > > When doing some data manipulations using the tidyverse, I am repeatedly getting the same error message in now three separate situations. I can write up

Thanks for the feedback Jeff. Before I pursue a bug report, let me give a full example: ###### begin console output R version 3.4.1 (2017-06-30) -- "Single Candle" Copyright (C) 2017 The R Foundation for Statistical Computing Platform: i386-w64-mingw32/i386 (32-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions.

This sounds an awful lot like a bug. Read the Posting Guide to know what to do about bugs. And delaying making the reprex is _always_ a bad idea. -- Sent from my phone. Please excuse my brevity. On August 14, 2017 7:26:32 AM PDT, "Szumiloski, John" <John.Szumiloski at bms.com> wrote: >UseRs, > >When doing some data manipulations using the tidyverse, I am repeatedly

> On Aug 14, 2017, at 8:37 AM, Szumiloski, John <John.Szumiloski at bms.com> wrote: > > Thanks for the feedback Jeff. Before I pursue a bug report, let me give a full example: > > ###### begin console output > > R version 3.4.1 (2017-06-30) -- "Single Candle" > Copyright (C) 2017 The R Foundation for Statistical Computing > Platform:

> On Aug 14, 2017, at 11:10 AM, David Winsemius <dwinsemius at comcast.net> wrote: > > >> On Aug 14, 2017, at 8:37 AM, Szumiloski, John <John.Szumiloski at bms.com> wrote: >> >> Thanks for the feedback Jeff. Before I pursue a bug report, let me give a full example: >> >> ###### begin console output >> >> R version 3.4.1

UseRs, When doing some data manipulations using the tidyverse, I am repeatedly getting the same error message in now three separate situations. I can write up a reproducible example, but want to lay out the high-level issues in case someone recognizes exactly what is happening here. The error is: Error in mut_env_parent(overscope$.top_env, lexical_env) : object 'rlang_mut_env_parent'

This SO post: https://stackoverflow.com/q/76583828 describes a strange R CMD check error. Depending on the contents of a comment in one of the examples sections of a help page, an error like this could be triggered: > base::assign(".dptime", (proc.time() - get(".ptime", pos = "CheckExEnv")), pos = "CheckExEnv") >

Am 02.07.23 um 18:01 schrieb Duncan Murdoch: > This SO post: https://stackoverflow.com/q/76583828 describes a strange R > CMD check error. Depending on the contents of a comment in one of the > examples sections of a help page, an error like this could be triggered: > > > base::assign(".dptime", (proc.time() - get(".ptime", pos = >

Good morning, we recently observed a problem with importing S3 generics from a foreign package (without namespace), defining a S3 method in a package _with_ namespace and the `cleanEx()' function which is automatically generated and executed before examples are run by R CMD check. To be more precise. Package `strucchange' defines a S3 generic sctest <- function(x, ...)

Hi, Does anyboody have insight into what this error terminating "R CMD check" on an in-house package may imply? > ### > cat("Time elapsed: ", proc.time() - get("ptime", pos = 'CheckExEnv'),"\n") Error in get("ptime", pos = "CheckExEnv") : unused argument(s) (pos = "CheckExEnv") Calls: cat -> cat.default

I'm having a very hard time making R CMD check produce a clean check on examples because of the timings inserted into examples by R CMD check. I am getting a difference on every example output caused by timing information being inserted by 'R CMD check'. The current 'Writing R Extensions' manual[1] states on p. 14: If directory tests has a subdirectory Examples

Example run and stack trace: wazor /s/src/stat/R-1.8.0/tests/Examples $ ../../bin/R --no-save < base-Ex.R R : Copyright 2003, The R Development Core Team Version 1.8.0 (2003-10-08) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a

Full_Name: Madeleine Yeh Version: 1.9.1 OS: AIX 5.2 Submission from: (NULL) (151.121.225.1) After compiling R-1.9.1 on AIX 5.2 using the IBM cc compiler, I ran the checks. One of them failed. Here is the output from running the check solo. root@svweb:/fsapps/test/build/R/1.9.1/R-1.9.1/tests/Examples: ># ../../bin/R --vanilla < stats-Ex.R R : Copyright 2004, The R

In R version 2.6.1 (2007-11-26) and R version 2.6.1 Patched (2008-01-19 r44061) on openSUSE 10.2 (X86-64) > gctorture() > proc.time() Error: protect(): protection stack overflow The problem with this is that then R CMD check --use-gct foo ALWAYS FAILS with > cat("Time elapsed: ", proc.time() - get("ptime", pos = 'CheckExEnv'),"\n") Error in

Dear useRs, Some time ago I queried the list as to an efficient way of building a function which acts as ls() but with a different default for all.names: http://tolstoy.newcastle.edu.au/R/e6/help/09/03/7588.html I have struck upon a solution which so far has performed admirably. In particular, it uses ls() and not its explicit source code, so only has a dependency on its name and the name of

Hello everybody, I am just trying to put together my first own CRAN-able package. I have completed the programming and my code works OK. But now when I perform R CMD check agsemisc_1.0-2.tar.gz and R gets to the step * checking examples ... I receive the following error message: > print(bwplot(Species~Sepal.Length, data=iris, panel=panel.bwstrip)) Error in rep(T, length(x)) : T used

Hi folks, I'm attempting to compile and install 2.5.0, and "make check" is failing one of the earlier sanity tests. I'll append the relevant portion of the Rout.fail file below, but I've narrowed it down manually to a single command: > sessionInfo() R version 2.5.0 (2007-04-23) x86_64-unknown-linux-gnu locale:

Dear useRs, I have a longitudinal experiment with several treatment groups, ~20 subjects per group, ~6 timepoints and a continuous dependent variable. I have been successfully been using lattice::xyplot with this data. However, I have been stumped with a particular application of it. I would like to use xyplot on my data, broken into treatment groups with the groups argument, using

Dear useRs, I am using the gamm function in the mgcv package to model a smooth relationship between a covariate and my dependent variable, while allowing for quantification of the subjectwise variability in the smooths. What I would like to do is to make subjectwise predictions for plotting purposes which account for the random smooth components of the fit. An example. (sessionInfo() is at

Dear useRs, I have a utility function which is meant to be a clone of ls(), except with the option all.names=TRUE. Currently however, the function merely consists of a copy of the source code of ls(), except the default value of all.names is different. That approach has the drawback of future inconsistency if the code for ls() ever changes. No comment on whether that is likely or not; I would