much difference. I'm just beginning to
wonder if there is another way.
I'll think about it some more
best wishes
Branwen
From: Viechtbauer Wolfgang (STAT) [wolfgang.viechtba...@maastrichtuniversity.nl]
Sent: 27 August 2014 17:30
To: Owen, Bran
e sampling variances.
Is there any way around this?
thanks
Branwen
From: r-help-boun...@r-project.org [r-help-boun...@r-project.org] on behalf of
r-help-ow...@r-project.org [r-help-ow...@r-project.org]
Sent: 27 August 2014 13:36
To: Owen, Branwen
Subject: M
Vojtěch Zeisek opensuse.org> writes:
>
> On Linux You can use Rkward http://rkward.sourceforge.net/ - very nice and
> good graphical user interface for R.
>
> Dne Pá 19. února 2010 19:39:53 xinwei stat.psu.edu napsal(a):
> > Hi, I am using R in Linux environment. How can i make plot in Linux
Dear list,
Im an undergraduate research assistant trying to create a single function
that can calculate Morans I using the ape package. The example that I
will use comes from online data about ozone levels. Here are the commands
that I have been using:
> library(ape)
> ozone<-read.table("ht
hi
I've been using this code to set a reference level for uni and
multivariate analysis
rmix$interviewmethodcode<-relevel(mix$interviewmethodcode,ref="SAQ")
summary(rma.1<-rma(yi,vi,mods=~interviewmethodcode,data=rmix,method="SJ",knha=F,weighted=F,intercept=T))
giving
Dear Metafor users, I'm conducting a metaanalysis of prevalence of a particular
behaviour based on someone elses' code. I've been labouring under the
impression that this:
summary(rma.1<-rma(yi,vi,mods=cbind(approxmeanage,interviewmethodcode),data=mal,method="DL",knha=F,weighted=F,intercept=T
That's fantastic! Thanks.
> -Original Message-
> From: Marc Schwartz [mailto:marc_schwa...@me.com]
> Sent: Friday, June 17, 2011 3:47 PM
> To: Owen, Jason
> Cc: 'r-help@r-project.org'
> Subject: Re: [R] plot the y-axis upside down
>
> On Jun
Hello,
I need to create a scatterplot where the y-axis is upside down. If I have
non-negative bivariate data in objects "x" and "y," then the operation
plot(x, -y)
gives me the figure I want -- a mirror image of plot(x, y) -- except that the
y-values (coordinates) are negative, which I don't
When I import a data file in stata format using read.dta, the full variable
labels (e.g. variable= "inc2000"; variable label= "Total household income in
year 2000"). When I then export the same data file using write.dta, the
variable labels are not included in the new .dta file. Is there any way to
When I import a data file in stata format using read.dta, the full variable
labels (e.g. variable= "inc2000"; variable label= "Total household income in
year 2000"). When I then export the same data file using write.dta, the
variable labels are not included in the new .dta file. Is there any way to
But that really doesn't meet the needs of this project. I've also
tried it with strata=(~strataOne + strataTwo), but that didn't work
either. Does anyone know if its a) possible to do mutiple strata
sampling in R survey, and b) how? I emailed the maintainer a week ago,
but I still
, logs or diffs in my model.
Any other ideas?
~Owen
R> rm(list = ls())
R> options(prompt= "R> ")
R> library("plm")
R> data("EmplUK", package="plm")
R> EmplUK <- plm.data(EmplUK, index = c("firm", "year"))
R>
log(
> plm(formula = formula(a), data=EmplUK)
rather than just:
R> plm(formula = a, data = EmplUK)
~Owen
2009/11/27 David Winsemius :
> You might also note that the authors hint on the help page that one might
> want to use the formula() operation on the result of dynformula. Following
> that
indeed, when I try to run a regression using that formula, it
appears to not contain any lags or logs (output below).
Any ideas? Thanks in advance,
~Owen
--
Owen Powell
http://center.uvt.nl/phd_stud/powell
R> library("plm")
R> data("EmplUK", package="plm")
R&g
indeed, when I try to run a regression using that formula, it appears to
not contain any lags or logs (output below).
Any ideas? Thanks in advance,
~Owen
--
Owen Powell
http://center.uvt.nl/phd_stud/powell
R> library("plm")
R> data("EmplUK", package="plm")
R&g
~ x1 + x2
out = lm.pb(eq1, eq2, data = d, zeroL3 = TRUE)
print(out)
I couldn't find out how to get standard errors and p-values from the
package, so I bootstrapped them.
~Owen
2009/4/13 Tirthankar Chakravarty
> You should probably try the -bivpois- package:
> http://cran.r-projec
that unless it's
entirely necessary.
I'll post my solution to the list when I've worked it out.
Regards,
~Owen
# CODE FOR "sur" OPTION
rm(list = ls())
library(Zelig)
y1 = c(1,2,3,4)
y2 = c(0,2,0,2)
x = c(2,3,4,8)
d = data.frame(cbind(y1, y2, x))
eq1 = y1 ~ x
eq2 = y2 ~
at there is improvement in the Cond when, second clause (as
compared to condwhen-first clause-age-matched, right?). Again, my trouble is
with what to use as the reference group and how to separate that out in terms
of computing percentages.
Thanks so much for any assistance you can
.
should evaluate to:
"A" "B" "B" "B" "C" "C" "C" "C" "C" "D" "D" "D"
I tried to use rle() in a function to do this but have hit a brick wall.
How would YOU do this?
Many tha
go quickly.
-Art
Quoting "Charles C. Berry" <[EMAIL PROTECTED]>:
> On Tue, 18 Dec 2007, Art Owen wrote:
>
>> Dear R-ophiles,
>>
>> I've found something very odd when I apply convolve
>> to ever larger vectors. Here is an example below
>>
like N or N log(N) , with
the difference hard to discern in granularity and noise.
The convolve function is not very big (see below). When type is
not specified, it defaults to "circular". So my guess is that something
mysterious might be happening inside the first else clause below,
> Ph: (410) 502-2619
>
> Fax: (410) 614-9625
>
> Email: [EMAIL PROTECTED]
>
> Webpage: http://www.jhsph.edu/agingandhealth/People/Faculty/Varadhan.html
>
>
>
> ----
>
>
>
> -Original Message-
> From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On
> Behalf Of Art
write this, it seems to be giving firefox a very bad
time loading it. So proceed with caution (if at all) to the file badx
in the web page stat.stanford.edu/~owen/
There is also a smaller one, called badx2 which illustrates the much
rarer case where a skinny matrix makes svd choke, while its wide
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