Thanks Bert.
From: Bert Gunter [mailto:bgunter.4...@gmail.com]
Sent: Tuesday, February 13, 2018 4:42 PM
To: Pius Mwansa
Cc: R-help
Subject: Re: [R] LSmeans and lsmeans
A cursory reading indicates that they are identical; but others more
knowledgeable than I need to confirm or deny this
It is in the doBy package.
Thanks
From: Bert Gunter [mailto:bgunter.4...@gmail.com]
Sent: Tuesday, February 13, 2018 4:32 PM
To: Pius Mwansa
Cc: R-help
Subject: Re: [R] LSmeans and lsmeans
Always cc the list unless there is good reason to keep your reply private.
There is no
ot;Bloom County" comic strip )
On Tue, Feb 13, 2018 at 3:38 PM, Pius Mwansa wrote:
> It is in the doBy package.
>
>
>
> Thanks
>
>
>
> *From:* Bert Gunter [mailto:bgunter.4...@gmail.com]
> *Sent:* Tuesday, February 13, 2018 4:32 PM
>
> *To:* Pius Mwansa
reathed in his "Bloom County" comic strip )
On Tue, Feb 13, 2018 at 3:20 PM, Pius Mwansa wrote:
> They are in the lsmeans package.
>
>
>
> Pius
>
>
>
> *From:* Bert Gunter [mailto:bgunter.4...@gmail.com]
> *Sent:* Tuesday, February 13, 2018 4:16 PM
> *
In what packages?
-- Bert
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 Tue, Feb 13, 2018 at 11:17 AM, Pius Mwansa wrote:
> Is there a difference between
Is there a difference between LSmeans and lsmeans functions in R?
Thanks,
Pius
__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/p
Dear list-eners,
I run into the following problem when I want to get contrasts from a coxme
model using the lsmeans package: A call to lsmeans on the coxme model
throws the following error:
Error in if (adjustSigma && object$method == "ML") V = V *
object$dims$N/(object$dims$N - :
missing valu
1-09 2:45 AM
> To: r-help@r-project.org
> Subject: [R] lsmeans in R
>
> I need help with calculating lsmeans (adjusted means) of different terms
in
> a linear model including the main effect and the interaction effect terms.
I
> use lm to run the linear models...I previously noted from li
On 3/11/2009 2:45 AM, suman Duvvuru wrote:
> I need help with calculating lsmeans (adjusted means) of different terms in
> a linear model including the main effect and the interaction effect terms. I
> use lm to run the linear models...I previously noted from literature that
> that "effects" packag
I need help with calculating lsmeans (adjusted means) of different terms in
a linear model including the main effect and the interaction effect terms. I
use lm to run the linear models...I previously noted from literature that
that "effects" package can be used to generate lsmeans. But I tried to u
8 3:48 PM
> To: r-help@r-project.org
> Subject: Re: [R] lsmeans
>
> I hope you'll forgive me for resurrecting this thread. My question
> refers to John Fox's comments in the discussion of lsmeans from
> https://stat.ethz.ch/pipermail/r-help/2008-June/164106.html
>
Nutter, Benjamin wrote:
I hope you'll forgive me for resurrecting this thread. My question
refers to John Fox's comments in the discussion of lsmeans from
https://stat.ethz.ch/pipermail/r-help/2008-June/164106.html
John you said, "It wouldn't be hard, however, to do the computations
yourself,
I hope you'll forgive me for resurrecting this thread. My question
refers to John Fox's comments in the discussion of lsmeans from
https://stat.ethz.ch/pipermail/r-help/2008-June/164106.html
John you said, "It wouldn't be hard, however, to do the computations
yourself, using the coefficient vect
John Fox mcmaster.ca> writes:
> Actually, the effects package does exactly what you suggest for continuous
> predictors.
But not for lme.
Dieter
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the post
age-
> From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
On
> Behalf Of hadley wickham
> Sent: June-08-08 3:48 PM
> To: Frank E Harrell Jr
> Cc: John Fox; Douglas Bates; [EMAIL PROTECTED]; Dieter Menne
> Subject: Re: [R] lsmeans
>
> > Well put Doug. I would add another
> Well put Doug. I would add another condition, which I don't know how to
> state precisely. The settings for the other terms, which are usually
> marginal medians, modes, or means, must make sense when considered jointly.
> Frequently when all adjustment covariates are set to overall marginal m
; From: Frank E Harrell Jr [mailto:[EMAIL PROTECTED]
> Sent: June-08-08 3:13 PM
> To: Douglas Bates
> Cc: John Fox; Dieter Menne; [EMAIL PROTECTED]
> Subject: Re: [R] lsmeans
>
> Douglas Bates wrote:
> > On 6/7/08, John Fox <[EMAIL PROTECTED]> wrote:
> >> De
; From: hadley wickham [mailto:[EMAIL PROTECTED]
> Sent: June-08-08 2:52 PM
> To: Douglas Bates
> Cc: John Fox; Dieter Menne; [EMAIL PROTECTED]
> Subject: Re: [R] lsmeans
>
> On Sun, Jun 8, 2008 at 12:58 PM, Douglas Bates <[EMAIL PROTECTED]>
wrote:
> > On 6/7/08, John
] [mailto:[EMAIL PROTECTED]
On
> Behalf Of Douglas Bates
> Sent: June-08-08 1:58 PM
> To: John Fox
> Cc: Dieter Menne; [EMAIL PROTECTED]
> Subject: Re: [R] lsmeans
>
> On 6/7/08, John Fox <[EMAIL PROTECTED]> wrote:
> > Dear Dieter,
> >
> > I don't
sage-
> From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
On
> Behalf Of Dieter Menne
> Sent: June-07-08 4:36 AM
> To: [EMAIL PROTECTED]
> Subject: Re: [R] lsmeans
>
> John Fox mcmaster.ca> writes:
>
> > I intend at some point to extend the effects packa
On Sun, Jun 8, 2008 at 12:58 PM, Douglas Bates <[EMAIL PROTECTED]> wrote:
> On 6/7/08, John Fox <[EMAIL PROTECTED]> wrote:
>> Dear Dieter,
>>
>> I don't know whether I qualify as a "master," but here's my brief take on
>> the subject: First, I dislike the term "least-squares means," which seems t
encourage them in their
delusions by letting them think i can evaluate marginal cell means as
a single, conditional evaluation.
> > -Original Message-
> > From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
> On
> > Behalf Of Dieter Menne
> > Sent: June-07-08
On Sat, Jun 7, 2008 at 3:02 PM, John Fox <[EMAIL PROTECTED]> wrote:
> Dear Dieter,
>
> I don't know whether I qualify as a "master," but here's my brief take on
> the subject: First, I dislike the term "least-squares means," which seems to
> me like nonsense. Second, what I prefer to call "effect d
University
Hamilton, Ontario, Canada
web: socserv.mcmaster.ca/jfox
> -Original Message-
> From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
On
> Behalf Of Dieter Menne
> Sent: June-07-08 4:36 AM
> To: [EMAIL PROTECTED]
> Subject: Re: [R] lsmeans
>
> John Fox mcmaster.ca>
John Fox mcmaster.ca> writes:
> I intend at some point to extend the effects package to linear and
> generalized linear mixed-effects models, probably using lmer() rather
> than lme(), but as you discovered, it doesn't handle these models now.
>
> It wouldn't be hard, however, to do the computat
Dear Dani,
I intend at some point to extend the effects package to linear and
generalized linear mixed-effects models, probably using lmer() rather
than lme(), but as you discovered, it doesn't handle these models now.
It wouldn't be hard, however, to do the computations yourself, using
the coeff
Hello,
I have the next function call:
lme(fixed=Error ~ Temperature * Tumour ,random = ~1|ID, data=error_DB)
which returns an lme object. I am interested on carrying out some kind
of lsmeans on the data returned, but I cannot find any function to do
this in R. I'have seen the effect() function
27 matches
Mail list logo
