On 04/05/2019 12:39 AM, Bert Gunter wrote:
> https://www.r-project.org/mail.html
>
> Found immediately by a web search on "R Mailing lists" . Please make a
> minimal effort yourself before posting, or let us know if you have already
> done so but came up empty.
>
> You might try here for genomics
Hi Peter,
> On Apr 5, 2019, at 7:22 AM, peter dalgaard wrote:
>
> Can't you just check for NA coefficients?
>
>> y <- rnorm(10) ; x <- rep(0,10)
>> coef(lm(y~x))
> (Intercept) x
> -0.0962404 NA
>
> so
>
>> any(is.na(coef(lm(y~x
> [1] TRUE
>
> I have a vague recolle
I think you mean "Healthcare" not "Healthrcare."
Please take minimal time to check your spelling before replying to a post. :)
-Original Message-
From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Bert Gunter
Sent: Friday, April 5, 2019 12:39 AM
To: H
Cc: R Mailing List
Sub
Hi,
To supplement Bert's reply, there is not a specific SIG list for R in
healthcare, however, there are a number of us, both in the pre-clinical and
clinical realm, that participate here on R-Help.
As Bert noted, for genomic applications, the Bioconductor folks have their own
lists.
If you h
Can't you just check for NA coefficients?
> y <- rnorm(10) ; x <- rep(0,10)
> coef(lm(y~x))
(Intercept) x
-0.0962404 NA
so
> any(is.na(coef(lm(y~x
[1] TRUE
I have a vague recollection that at some point there might have been dragons
lurking in there (? - NA coefs sil
lme4 has a function isSingular to check if the fitted model is Singular,
Although lm has the parameter singular.ok = TRUE by defualt, I could
not find a function to check if the fitted model is singular.
What would be the correct way to implement such a function for and lm object?
Check if df.res
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