On 2025-02-19 6:36 a.m., Paul Sherliker via R-help wrote:
I make graphs, in large quantities, for perfectionists.
My bosses do not like the results of text like 'baseline-defined' in graphs;
they feel that the resulting dash is too long.
For many years, I have been in the habit of producing gr
Normally I'd say you should post a reproducible example where you get a
discrepancy, but that's already been done in an open bug report here:
https://github.com/amices/mice/issues/688 .
Duncan Murdoch
On 2025-02-20 4:19 a.m., Bullinger, Johannes wrote:
Hi,
I am currently facing an issue wit
Dear Stephan Weinbruch,
I'm afraid it's data(RatPupWeight, package = 'nlme').
--
Best regards,
Ivan
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В Wed, 19 Feb 2025 11:36:15 +
Paul Sherliker via R-help пишет:
> text(1, 11, "baseline\255defined")
> text(1, 9, "done")
> graphics.off()
>
> They like that dash - but I never knew what it was called.
>
> Recently work updated my PC to the latest version of Windows, and,
> perforce, I updat
Hi,
I cannot any longer load a dataset fom the package nlme.
When I try to load the dataset RatPubWeight with the data() command, I get a
warning (Warnmeldung: In data(RatPubWeight) : Datensatz 'RatPubWeight' nicht
gefunden).
With data(package = "nlme") I can see that the dataset RatPubWeight i
I make graphs, in large quantities, for perfectionists.
My bosses do not like the results of text like 'baseline-defined' in graphs;
they feel that the resulting dash is too long.
For many years, I have been in the habit of producing graphs with shorter
dashes as follows:
pdf("myfile.pdf")
plo
Hi,
I am currently facing an issue with data imputation in R using the random
forest method from the MICE package. Specifically, I have imputed data that was
missing completely at random (MCAR) using the following R code:
# IMPUTATION
set.seed(500)
# Perform multiple imputation
imputed_dat
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