timize it.
With a nonlinear model, you lose some of that, and I'd suggest directly
optimizing it.
Duncan Murdoch
On 29/07/2020 8:56 a.m., Sebastien Bihorel via R-help wrote:
> Thank your, Pr. Nash, for your perspective on the issue.
>
> Here is an example of binary data/response (resp) t
ar model, you lose some of that, and I'd suggest directly
optimizing it.
Duncan Murdoch
On 29/07/2020 8:56 a.m., Sebastien Bihorel via R-help wrote:
> Thank your, Pr. Nash, for your perspective on the issue.
>
> Here is an example of binary data/response (resp) that were simulated a
ings are very badly scaled.
Another posting suggests an example problem i.e., some data and a
model, though you also need the loss function (e.g., Max likelihood,
weights, etc.). Do post some data and functions so we can provide more
focussed advice.
JN
On 2020-07-28 10:13 a.m., Sebastien Bihorel vi
tps://davetang.org/muse/2013/05/17/fitting-a-michaelis-mentens-curve-using/
[2]
http://rforbiochemists.blogspot.com/2015/05/plotting-and-fitting-enzymology-data.html
Hope this helps,
Rui Barradas
�s 15:13 de 28/07/2020, Sebastien Bihorel via R-help escreveu:
> Hi
>
> I need to fit a lo
ley Breathed in his "Bloom County" comic strip )
On Tue, Jul 28, 2020 at 7:25 AM Sebastien Bihorel via R-help
mailto:r-help@r-project.org>> wrote:
Hi
I need to fit a logistic regression model using a saturable Michaelis-Menten
function of my predictor x. The likelihood could be e
and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Tue, Jul 28, 2020 at 7:25 AM Sebastien Bihorel via R-help
mailto:r-help@r-project.org>> wrote:
Hi
I need to fit a logistic regression model using a saturable Michaelis-Menten
Hi
I need to fit a logistic regression model using a saturable Michaelis-Menten
function of my predictor x. The likelihood could be expressed as:
L = intercept + emax * x / (EC50+x)
Which I guess could be expressed as the following R model
~ emax*x/(ec50+x)
As far as I know (please, correct
Thanks Duncan
From: Duncan Murdoch
Sent: Friday, May 29, 2020 15:36
To: Sebastien Bihorel ;
r-help@r-project.org
Subject: Re: [R] Creating file from raw connection
On 29/05/2020 3:00 p.m., Sebastien Bihorel via R-help wrote:
> Hi,
>
> Let's say I can extract the content of
Hi,
Let's say I can extract the content of an Excel .xlsx file stored in a database
and store it as raw content in an R object. What would be the proper way to
"create" a .xlsx file and "transfer" the content of this obj into it? I took
the example of an Excel file, but my question would extend
Hi,
Let's say I can extract the content of an Excel .xlsx file stored in a database
and store it as raw content in an R object. What would be the proper way to
"create" a .xlsx file and "transfer" the content of this obj into it? I took
the example of an Excel file, but my question would extend
h
shaves off 1 hour.
Peter
On Sun, Mar 29, 2020 at 5:03 PM Sebastien Bihorel via R-help
mailto:r-help@r-project.org>> wrote:
Hi,
Why is there less number of seconds on 03/10/2019 in the internal POSIX system?
The difference between the previous or the next day eems to be exactly 1 hour.
I
Hi,
Why is there less number of seconds on 03/10/2019 in the internal POSIX system?
The difference between the previous or the next day eems to be exactly 1 hour.
I could not find anything in the manuals on CRAN.
> dates <- as.POSIXct(sprintf('03/%s/2019',9:12), format = '%m/%d/%Y')
> dates
[1]
> r-help@r-project.org<mailto:r-help@r-project.org>
> mailto:r-help@r-project.org>>
> Subject: Re: [R] Can file size affect how na.strings operates in a
> read.table call?
> Check for extraneous spaces. You may need more variations of the na.strings.
>
> On November 14, 2019
Sebastien Bihorel
via R-help ; r-help@r-project.org
Subject: Re: [R] Can file size affect how na.strings operates in a read.table
call?
Check for extraneous spaces. You may need more variations of the na.strings.
On November 14, 2019 7:40:42 AM PST, Sebastien Bihorel via R-help
wrote:
>
Hi,
I have this generic function to read ASCII data files. It is essentially a
wrapper around the read.table function. My function is used in a large variety
of situations and has no a priori knowledge about the data file it is asked to
read. Nothing is known about file size, variable types, va
NaN
2 NA 2
> class(tmp[,1])
[1] "numeric"
> class(tmp[,2])
[1] "character"
> tmp[,2]
[1] "NaN" "2"
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley
ot;2"
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Wed, Oct 23, 2019 at 6:31 PM Sebastien Bihorel via R-help
mailto:r-help@r-proje
Hi,
Is there a way to make read.table consider NaN as a string of characters rather
than the internal NaN? Changing the na.strings argument does not seems to have
any effect on how R interprets the NaN string (while is does not the the NA
string)
con <- textConnection(object = 'A,B\n1,NaN\nNA,
18 matches
Mail list logo
