Health
University of South Carolina
Columbia, South Carolina USA
From: Sarah Goslee
Sent: Friday, December 3, 2021 11:00 AM
To: Labone, Thomas
Cc: Bill Dunlap ; r-help@r-project.org
Subject: Re: [R] Problem with lm Giving Wrong Results
It might also be a BLAS
t;Min. 1st Qu. MedianMean 3rd Qu.Max.
> 0.3767 0.8204 0.9659 0.9947 1.1372 2.4772
> >
>
>
> Thomas R. LaBone
> PhD student
> Department of Epidemiology and Biostatistics
> Arnold School of Public Health
> University of South Carolina
> Columbia, South Carolina USA
>
>
>
h Carolina
Columbia, South Carolina USA
From: Labone, Thomas
Sent: Thursday, December 2, 2021 11:53 AM
To: Bill Dunlap
Cc: r-help@r-project.org
Subject: Re: [R] Problem with lm Giving Wrong Results
> summary(fit)
Call:
lm(formula = log(k) ~ Z)
Residuals:
Cc: r-help@r-project.org
Subject: Re: [R] Problem with lm Giving Wrong Results
On the 'bad' machines, what did you get for
summary(fit)
summary(k)
summary(Z)
summary(gm*gsd^Z)
?
-Bill
On Thu, Dec 2, 2021 at 6:18 AM Labone, Thomas
mailto:lab...@email.sc.edu>> wrote:
In t
On 02/12/2021 5:50 a.m., Labone, Thomas wrote:
In the code below the first and second plots should look pretty much the same, the
only difference being that the first has n=1000 points and the second n=1 points.
On two of my Linux machines (info below) the second plot is a horizontal line
On the 'bad' machines, what did you get for
summary(fit)
summary(k)
summary(Z)
summary(gm*gsd^Z)
?
-Bill
On Thu, Dec 2, 2021 at 6:18 AM Labone, Thomas wrote:
> In the code below the first and second plots should look pretty much the
> same, the only difference being that the first h
On Thu, 2 Dec 2021 14:34:42 +
"Labone, Thomas" wrote:
> Can someone point me to the procedure for switching from the Intel
> Math Library back to the standard math library so that I can see if
> the problem is associated with using MKL?
Depends on how you have installed it. You mentioned usi
University of South Carolina
Columbia, South Carolina USA
From: J C Nash
Sent: Thursday, December 2, 2021 9:31 AM
To: Labone, Thomas ; r-help@r-project.org
Subject: Re: [R] Problem with lm Giving Wrong Results
I get two similar graphs.
https://protect2
I get two similar graphs.
https://web.ncf.ca/nashjc/jfiles/Rplot-Labone-4095.pdf
https://web.ncf.ca/nashjc/jfiles/RplotLabone10K.pdf
Context:
R version 4.1.2 (2021-11-01)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Linux Mint 20.2
Matrix products: default
BLAS: /usr/lib/x86_64-linu
Hi Thomas,
I could not reproduce your problem. Both examples worked fine for me.
Here is my setup:
R version 4.1.2 (2021-11-01)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 20.04.3 LTS
Matrix products: default
BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
LAPACK
In the code below the first and second plots should look pretty much the same,
the only difference being that the first has n=1000 points and the second
n=1 points. On two of my Linux machines (info below) the second plot is a
horizontal line (incorrect answer from lm), but on my Windows 10
... Perhaps worth adding is the use of poly() rather than separately
created terms for (non/orthogonal) polynomials:
lm(y ~ poly(x, degree =2) #orthogonal polyomial of degree 2
see ?poly for details.
-- Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along
Richard,
It is now working.
Thank you very much.
Bob
On 12/18/2018 7:10 PM, Richard M. Heiberger wrote:
## This example, with your variable names, works correctly.
z2 <- data.frame(y=1:5, x=c(1,5,2,3,5), x2=c(1,5,2,3,5)^2)
z2
class(z2)
length(z2)
dim(z2)
lm(y ~ x + x2, data=z2)
## note that
## This example, with your variable names, works correctly.
z2 <- data.frame(y=1:5, x=c(1,5,2,3,5), x2=c(1,5,2,3,5)^2)
z2
class(z2)
length(z2)
dim(z2)
lm(y ~ x + x2, data=z2)
## note that that variable names y, x, x2 are column names of the
## data.frame z2
## please review the definitions and
The values read into z2 came from a CSV file. Please consider this R
session:
> length(x2)
[1] 1632
> length(x)
[1] 1632
> length(z2)
[1] 1632
> head(z2)
[1] 28914.0 28960.5 28994.5 29083.0 29083.0 29083.0
> tail(z2)
[1] 32729.65 32751.85 32386.05 32379.75 32379.15 31977.15
> lm ( y ~ x2 + x, z2
urner escribió:
De: Rolf Turner
Asunto: Re: [R] Problem with lm
Para: "Eva Prieto Castro"
CC: "Mick Cooney" , "Greg Snow" <538...@gmail.com>,
"William Dunlap" , "r-help@r-project.org"
Fecha: lunes, 5 de noviembre, 2012 19:58
On 06/11/12
On 06/11/12 05:20, Eva Prieto Castro wrote:
Hi,
I solved as follws:
 f <- formula(y ~ x1 + x2)
 single <- do.call("lm", list(f, data=mydf))
It works in every machine!!.
Well, if you are happy with the result, I guess that can't be argued with.
However the fact that your previous attempts
bió:
De: Eva Prieto Castro
Asunto: RE: [R] Problem with lm
Para: "Mick Cooney" , "Greg Snow" <538...@gmail.com>,
"William Dunlap"
CC: "r-help@r-project.org"
Fecha: viernes, 2 de noviembre, 2012 09:47
Hi everybody,
I send you
two test I made (withou
yPkt.env$lGlo)
2: RS()
1: MyPkt.RS()
Â
 I hope you can put some light in this question, because I am very confused.
Thanks in advance.
Â
Cheers,
Eva
--- El vie, 2/11/12, William Dunlap escribió:
De: William Dunlap
Asunto: RE: [R] Problem with lm
Para: "Eva Prieto Castro"
wdunlap tibco.com
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
> Behalf
> Of Eva Prieto Castro
> Sent: Thursday, November 01, 2012 2:59 PM
> To: Mick Cooney; Greg Snow
> Cc: r-help@r-project.org
> Subject:
tested.
Cheers,
Eva
--- El jue, 1/11/12, Greg Snow <538...@gmail.com> escribió:
De: Greg Snow <538...@gmail.com>
Asunto: Re: [R] Problem with lm
Para: "Mick Cooney"
CC: "Eva Prieto Castro" , r-help@r-project.org
Fecha: jueves, 1 de noviembre, 2012 17:49
Th
See comments inline
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of Mick Cooney
> Sent: Thursday, November 01, 2012 9:23 AM
> To: Greg Snow
> Cc: r-help@r-project.org; Eva Prieto Castro
> Subject: Re
But the 'y' is a parameter to the function, so does this mean that the
error is occurring when the function is invoked without that
parameter?
On 1 November 2012 16:02, Greg Snow <538...@gmail.com> wrote:
> Yes, it is most likely due to scoping. It is safest to create a data
> frame with all the
This error can still occur even if something is passed as the y
parameter to the function. There are several things that can
complicate the process (and I don't remember exactly which one causes
the problem in this case). Here are a couple:
In the original function, y is a parameter, but it is n
Yes, it is most likely due to scoping. It is safest to create a data
frame with all the data in it, then pass that to the data argument of
lm.
On Thu, Nov 1, 2012 at 2:25 AM, Eva Prieto Castro wrote:
> Hi,
>
> I have a problem in relation with a packahe I made. It runs on my machine
> (Windows,
Eva,
What do you get when you type ls() on the machine that the code does not
run? It could be that "y" is not in that particular workspace.
HTH,
Jorge.-
On Thu, Nov 1, 2012 at 7:25 PM, Eva Prieto Castro <> wrote:
> Hi,
>
> I have a problem in relation with a packahe I made. It runs on my machi
Hi,
I have a problem in relation with a packahe I made. It runs on my machine
(Windows, where I made the package), and it runs in a Mac machine, but it does
not run in another Mac machine with the same R version.
The part of the code is giving problems:
singleCosinor <- function(t, y, period=2
Many thanks Gabor, as always, much appreciated.
Regards,
Tolga
Gabor Grothendieck wrote:
R has introduced a new function xtfrm and in order for zoo to
work with it there must be an xtfrm zoo method. The development
version of zoo has such a method but its not yet released. Try this:
xtfrm.zoo
R has introduced a new function xtfrm and in order for zoo to
work with it there must be an xtfrm zoo method. The development
version of zoo has such a method but its not yet released. Try this:
xtfrm.zoo <- coredata
and then run your code.
On Sun, Nov 16, 2008 at 12:20 PM, Tolga Uzuner <[EMA
Dear Gabor,
Many thanks. That snippet of code also works for me (below). I am
currently on 2.8.0.
However, it continues to fail on the specific data I am using. I have
attached the data in data.RData, attached here. If you save this file
into the working directory and run the following, that
Try upgrading to R 2.8.0 patched. This works for me
using R 2.8.0 patched from Nov 10th:
library(zoo)
z <- 1:10
x <- z*z
y <- x*z
lm(z ~ x + y)
summary(lm(z ~ x + y))
> packageDescription("zoo")$Version
[1] "1.5-4"
> R.version.string # Vista
[1] "R version 2.8.0 Patched (2008-11-10 r46884)"
On
Dear R Users,
I am having a weird problem. I have three zoo time series, foo, bar and
baz. I run a simple linear regression with foo as the dependent and
bar+baz as independents. Even though the regression runs fine, summary
seems to fail.The code is below. I am happy to send the data along. I
an aching desire for an answer does not
> ensure that a reasonable answer can be extracted from a given body of data.
> ~ John Tukey
>
> -Oorspronkelijk bericht-
> Van: Keld Jørn Simonsen [mailto:[EMAIL PROTECTED]
> Verzonden: donderdag 3 juli 2008 12:28
> Aan: ONK
Hi
[EMAIL PROTECTED] napsal dne 03.07.2008 09:41:17:
> On Wed, Jul 02, 2008 at 08:55:54PM -0500, Erik Iverson wrote:
> > Hello -
> >
> > Keld Jørn Simonsen wrote:
> > >Hi
> > >
> > >I have a problem with lm and predict
> > >
> > >I have
> > >
> > >us
> > > [1] 2789.53 3128.43 3255.03 3536.
On Wed, Jul 02, 2008 at 08:55:54PM -0500, Erik Iverson wrote:
> Hello -
>
> Keld Jørn Simonsen wrote:
> >Hi
> >
> >I have a problem with lm and predict
> >
> >I have
> >
> >us
> > [1] 2789.53 3128.43 3255.03 3536.68 3933.18 4220.25 4462.83 4739.48
> > [9] 5103.75 5484.35 5803.08 5995.
Dear Keld,
See ?predict.lm and its examples.
HTH,
Jorge
On Wed, Jul 2, 2008 at 9:40 PM, Keld Jørn Simonsen <[EMAIL PROTECTED]> wrote:
> Hi
>
> I have a problem with lm and predict
>
> I have
>
> us
> [1] 2789.53 3128.43 3255.03 3536.68 3933.18 4220.25 4462.83 4739.48
> [9] 5103.75
Hello -
Keld Jørn Simonsen wrote:
Hi
I have a problem with lm and predict
I have
us
[1] 2789.53 3128.43 3255.03 3536.68 3933.18 4220.25 4462.83 4739.48
[9] 5103.75 5484.35 5803.08 5995.93 6337.75 6657.40 7072.23 7397.65
[17] 7816.83 8304.33 8746.98 9268.43 9816.98 1012
Hi
I have a problem with lm and predict
I have
us
[1] 2789.53 3128.43 3255.03 3536.68 3933.18 4220.25 4462.83 4739.48
[9] 5103.75 5484.35 5803.08 5995.93 6337.75 6657.40 7072.23 7397.65
[17] 7816.83 8304.33 8746.98 9268.43 9816.98 10127.95 10469.60 10960.75
[25] 11685.93 1
38 matches
Mail list logo
