Yes, but this sounds more like a bureaucratic requirement ("all
available patches must be installed") and less like something someone
has thought through.
It's conceivable that one might be able to talk to a security officer
and convince them that this is not in fact an important issue,
Do you receive RDS objects from unknown (untrusted) sources?
?? If not - the security issue is a non-issue as I understand it.
On Thu, 16 May 2024, 16:21 Vega, Ann (she/her/hers) via R-help, <
r-help@r-project.org> wrote:
> I help to coordinate the USEPA's R user group. We have over 500
The developer.r-project.org site lists plans for releases, and no plan
is in place yet for a 4.4.1 release.
You can look at the history of previous versions if you want to make a
guess:
4.3.1: June, 2023
4.2.1: June, 2022
4.1.1: August, 2021
4.0.1: June, 2020
3.6.1: July, 2019
3.5.1: July,
I help to coordinate the USEPA's R user group. We have over 500 members and
our security officer has required us to update to R version 4.4.0 because of
the security vulnerability to versions prior. However, we cannot download the
patched version because it does not have a signed certificate
https://www.r-bloggers.com/2021/06/reading-data-from-excel-files-xlsxlsxcsv-into-r-quick-guide/
Excel can hold a great quantity of data. However, I find that it is slow and
often crashes when I try to use Excel at large scale. It also grinds my entire
system to a halt. At the kb and mb scales I
I'm tasked to read a table from an excel file and it doesn't mention which
method to use. I went back some lessons ago and the 5 years old lesson
mentioned to pick a package using the highest score the way of the attached
(screenshot). Since there's no requirement of a method to read Excel files,
I don't think that gives the summary of event numbers without extra work.
library(survival)
fit <- survfit( Surv(time,status)~sex,data=lung)
summary(fit)$n.event
[1] 3 1 2 1 1 1 1 2 1 1 1 2 1 1 2 1 1 1 1 1 1 1 1 1 2 1 1 1 1 2 3 1 1 1 1 1 2
[38] 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
dear R users,
I am pleased to announce that segmented 2.1-0 is now available on CRAN.
segmented focuses on estimation of breakpoints/changepoints of
segmented, i.e. piecewise linear, relationships in (generalized) linear
models. Starting with version 2.0-0, it is also possible to model
Hi Dennis,
look at the help page for summary.survfit, the Value n.event.
Göran
On 2024-05-15 22:41, Dennis Fisher wrote:
OS X
R 4.3.3
Colleagues
I have created objects using the Surv function in the survival package:
FIT.1
Call: survfit(formula = FORMULA1)
More difficult than it should be IMO.
survminer package is often helpful. But if you want to avoid dependency:
library(survival)
fit <- survfit( Surv(time,status)~sex,data=lung)
surfable <-summary(fit)$table
surfable
# just the events
surfable[,"events"]
On Wed, 15 May 2024, 21:42 Dennis
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