returned object be
of class c("svd", "list").
Best,
Russ
-Original Message-
From: Duncan Murdoch
Sent: Thursday, June 23, 2022 7:23 PM
To: Lenth, Russell V ; Robert Harlow
Cc: r-devel@r-project.org
Subject: Re: [Rd] [External] Re: svd() results should have a class
On
ject.org/web/packages/afex/vignettes/afex_plot_introduction.html
Best,
Henrik
Am Di., 23. Juli 2019 um 14:52 Uhr schrieb Ben Bolker
mailto:bbol...@gmail.com>>:
Does setting message=FALSE in the chunk options of the vignette help?
Or less preferably, using supressMessages() ?
On 2019-07-23 9
ormal behaviour, for which
> it makes sense to suppress the message. This does not imply the
> S3 overriding message should be suppressed as well.
>
> Best,
> Lionel
>
>
>> On 23 Jul 2019, at 06:29, Lenth, Russell V wrote:
>>
>> Dear R-devel,
Dear R-devel,
Consider the following clip (in R version 3.6.0, Windows):
> requireNamespace("ggplot2", quietly = TRUE)
Registered S3 methods overwritten by 'ggplot2':
method from
[.quosures rlang
c.quosures rlang
print.quosures rlang
It seems to m
From: Abs Spurdle
Sent: Thursday, March 28, 2019 12:19 AM
To: Lenth, Russell V ; r-devel
Subject: [External] re: [Rd] default for 'signif.stars'
I read through the editorial.
This is the one of the most mega-ultra-super-biased articles I've ever read.
e.g.
The authors encourage
Dear R-Devel,
As I am sure many of you know, a special issue of The American Statistician
just came out, and its theme is the [mis]use of P values and the many common
ways in which they are abused. The lead editorial in that issue mentions the
2014 ASA guidelines on P values, and goes one step
(nicecars.lm, newdata = data.frame(x = 1:32))
Error in factor(cyl) : object 'cyl' not found
I still suggest that predict(..., newdata = ...) should *always* return an
error when newdata does not provide new values of the model data.
Russ
-Original Message-
From: Berry, Charles
Dear R-Devel,
I seem to no longer be able to access the bug-reporting system, so am doing
this by e-mail.
My report concerns models where variables are explicitly referenced (or is it
"dereferenced"?), such as:
cars.lm <- lm(mtcars[[1]] ~ factor(mtcars$cyl) + mtcars[["disp"]])
I have foun
