You have some choices
fitchange$coefficients[2]
zz$coefficients[2,1]
Note that class(zz$coefficients) shows that it is a matrix.
HTH,
Eric
On Fri, Feb 22, 2019 at 9:45 AM Sorkin, John
wrote:
> I am trying to obtain the coefficients from a regression (performed using
> lm). I would like to
I am trying to obtain the coefficients from a regression (performed using lm).
I would like to get the value for the slope (i.e. estimate) for pre from the
following regression:
fitchange <- lm(post-pre~pre,data=mydata2)
I have tried the following without any success:
zz <-
On 21.02.19 20:43, Rui Barradas wrote:
Hello,
I don't understand the question.
Like this?
xx <- "B"
yy <- "D"
a[xx, on = v]
a[c(xx, yy), on = v]
Note that .(xx, yy) doesn't work. It outputs something else.
Could you give an example of more complicated expressions you have
doubts with?
Hello,
I don't understand the question.
Like this?
xx <- "B"
yy <- "D"
a[xx, on = v]
a[c(xx, yy), on = v]
Note that .(xx, yy) doesn't work. It outputs something else.
Could you give an example of more complicated expressions you have
doubts with?
Hope this helps,
Rui Barradas
Às 14:10
IANAL (nor an R Core developer) but I think GDPR applies to organizations,
particularly ones that handle personally-identifiable data, presumably through
the use of software. As R does not by design collect such data without being
given explicit instructions by the user to do so and where to
Works well! Thanks!
Andras
On Thursday, February 21, 2019, 8:47:51 AM EST, Jeff Newmiller
wrote:
Use ?merge instead of intersect.
On February 21, 2019 5:22:46 AM PST, Andras Farkas via R-help
wrote:
>Hello All,
>
>wonder if you have a suggestion for the following:
>
>we have
Hello!
Thanks for getting back to me, I just need to ask these question while
reviewing a software for the school, but just to clarify, the R Foundation
itself does not need to abide by GDPR?
Also, the WISP mentioned would be how the R Foundation handles internal
information regarding the
I am converting data.frame-based code to data.table, for performance
reasons.
Is there a way to refer to columns using expressions in the "i"-part?
Here is an example:
a <- data.table(x=rep(LETTERS[1:10],each=2), y=1:20)
v <- "x"
For the j-part, I can access the column whose name is stored
Please stop these silly posts. R is open source software, and its open
source licensing requirements are explained on its website and referenced
links. As stated there, it comes with NO guarantees. The R Foundation is
*not* a company.
Bert Gunter
"The trouble with having an open mind is that
Use ?merge instead of intersect.
On February 21, 2019 5:22:46 AM PST, Andras Farkas via R-help
wrote:
>Hello All,
>
>wonder if you have a suggestion for the following:
>
>we have
>a<-data.frame(ID=c(1,2,3,4,5,6,7),date=as.POSIXct(seq(as.Date('2011-01-01'),as.Date('2011-01-07'),by
>=
Hello All,
wonder if you have a suggestion for the following:
we have
a<-data.frame(ID=c(1,2,3,4,5,6,7),date=as.POSIXct(seq(as.Date('2011-01-01'),as.Date('2011-01-07'),by
= 1),format='%m/%d/%Y %H:%M'),z=rnorm(7,1,1))
OK. I got it.
Thanks.
Petr
> -Original Message-
> From: Jim Lemon
> Sent: Thursday, February 21, 2019 11:36 AM
> To: PIKAL Petr
> Cc: Rolf Turner ; r-help@r-project.org
> Subject: Re: [R] particle count probability
>
> Hi Petr,
> My second message was to show that if you take the
Hi Petr,
My second message was to show that if you take the limiting cases of
"just inside" and "just outside" - which should have been:
just inside the field:
R0 = sqrt((x1+R1-x0)^2 + (y1+R1-y0)^2)
just outside the field:
R0 = sqrt((x2-R1-x0)^2 + (y2-R1-y0)^2)
the two differences are equal
Hallo
Thanks all for valuable suggestions. As always, people here are generous and
clever. I will try to think through all your suggestions, including recommended
literature.
Jim. Standard practice in particle measurement is to count (and mesure) only
particles which are fully inside viewing
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