ut the problem was in the dataset as I said.
Many Thanks,
Justin
Justin Allen
Housing Consultant, BRE<https://bregroup.com/>
T: 07807122647
From: Uwe Ligges
Sent: 04 June 2021 10:57
To: Allen, Justin ; R-help@r-project.org
Cc: Whiteley, Jonathon ; Foster, H
months ago. None of the arguments in read.spss() seem to
also stop this behaviour. I am currently on the most recent version of both R
and the package, as of 27/05/21, and am using RStudio Version 1.4.1106.
Any thoughts?
Many Thanks,
Justin Allen
p.s. your continued maintenance and additions to
for being pedantic --- but doing so to point out how helpful the
"?" command can be sometimes.
Hope this helps.
__
Allen Bingham
Bingham Statistical Consulting
aebingh...@gmail.com
LinkedIn Profile: www.linkedin.com/pub/allen-bingham/3b/556/325
-
ession --- you
have to quit R first then re-issue with a larger number.
Good luck-Allen
______
Allen Bingham
Bingham Statistical Consulting
aebingh...@gmail.com
LinkedIn Profile: www.linkedin.com/pub/allen-bingham/3b/556/325
-Original Message-
From: R-help
--- I don't want to use code in R
that might be too difficult to replicate in SAS.
I'll send you a separate email about the PROC FCMP implementation you
mentioned.
Thanks again-Allen
-Original Message-
From: Daniel Nordlund [mailto:djnordl...@frontier.com]
Sent: Monday, Februar
uot;signif" function on page 61 ...
but don't list a SAS equivalent.
If you have a suggestion for a different list that I might ask this question
(assuming I don't get the answer here), provide that as well.
Thanks-Allen
__
Allen Bingham
Bingham
function are only used with a subset of the method values.
Hope this helps-Allen
__
Allen Bingham
Bingham Statistical Consulting
aebingh...@gmail.com
This message and any attachments may contain confidential or privileged
information and are only for the
Legend 2, symbol 2 with
pt.cex=1.75",legend=c("Item 1","Item
2"),pch=c(1,1),pt.cex=c(1,1.75),col=c('black','blue'))
see if that works for you?
__
Allen Bingham
Bingham Statistical Consulting
aebingh...@gmail.com
---
Sven and John,
Thanks for your suggested code ... hits the mark! The code by John is what I
need to be able to use in an apply function, but I really like the simplicity
of Sven's suggestion.
Also thanks to all who replied --- really helped broaden my knowledge of R.
Allen
-Ori
Templer is appealing in its
simplicity.
Allen
-Original Message-
From: MacQueen, Don [mailto:macque...@llnl.gov]
Sent: Monday, January 26, 2015 1:03 PM
To: Allen Bingham; r-help@r-project.org
Subject: Re: [R] Sum function and missing values --- need to mimic SAS sum
function
I'm a little p
e R ... or in a package that will better mimic the
SAS sum function.
Any suggestions?
Thanks.
__
Allen Bingham
aebingh...@gmail.com
__
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https://stat.ethz
xa',
.fun=transform,
Class=find.class(Taxa))
Joel
From: Beaulieu, Jake
Sent: Thursday, September 12, 2013 12:06 PM
To: r-help@r-project.org
Cc: Wahman, David; Farrar, David; Allen, Joel; Green, Hyatt; McManus, Michael
Subject: grep(pattern = each element of a vector) ?
Hi,
I h
thank you for the help
So will the entire syntax appear as
bootmean(na.omit(banks$two),na.rm = TRUE, conf = 90,nrep = 1000)
From:
Jeff Newmiller
To:
grond , r-help@r-project.org
Date:
09/13/2012 04:46 PM
Subject:
Re: [R] Missing Values
Don't give it any. Instead of banks$two, use na.omit
sem1 = sem(sem.mod, sem.mod.cov, N=29)
stdCoef(sem1)
n2S n2S0.97643950 All.S <--- NDVI
n2n n2n1. NDVI <--> NDVI
s2S s2S0.04656591 All.S <--> All.S
I am using version 3.0 of sem on R-14.0.
Thanks for any insight anyone can provide.
Allen Hurlbert, Ph.D.
Depa
Hello,
Can someone help me on how to make a subset of my dataframe using two dates.
This is what I have tried, but no data is being excluded in the new frame.
six_months<-subset(Two_years, vdate>2011-01-01|vdate<2011-07-01)
or all data is excluded
six_months<-subset(Two_years, vdate>2011-01-01
and characters pretty bad.)
Thanks,
--Allen
On 1/3/12 12:47 PM, Greg Snow wrote:
I have had clients who also wanted to make little changes to the graphs (mostly
changing colors or line widths). Most after doing this a couple of times have
been happy to give be better descriptions of what the
m I on the right track? Am I missing any better pathways? I know
similar questions have come up before, but the discussions I found in
the archives were old, and maybe things have changed in recent years.
Thanks for any advice!
--Allen McBride
R version: 2.13.1
Platform: Mac OS 10.7.2
No idea, and no time to debug this unfortunately.
I'd like to hand off maintenance of this package if anyone is using it.
-Allen
On Wed, Jun 8, 2011 at 9:50 PM, Shi, Tao wrote:
> Hi Allen and list,
>
> See the code below. I've tried it on R2.13 and R2.8.0 using either
&g
Hi,
I am trying to do multiple imputation on a panel of data and then, use the
imputed values in stochastic frontier analysis. I am using this code just as
a start to see if will run:
mi(countrydata, n.iter = 30, R.hat = 1.1, max.minutes = 20, rand.imp.method =
"bootstrap", run.past.conver
51A8B","#43CD80"))
I would also be happy if I could do this with a cloud plot, but I can't get
the colors to plot correctly.
cloud(flow~day*year, data=flow.dat, shade=T, groups=grp,
col.group=c("#FF3030","#43CD80","#1E90FF"), pch=20)
Any help is m
Thank you Jim and David for your help.
The 'levels' call is not a misdirection, in my actual dataset it is
necessary because the flows aren't symmetrical. So while your solution is
quite elegant David, it doesn't apply to my actual data, just the example.
Too bad, it's quite nice!
I do think
Hello again,
I wrote an example that better represents my data, since the coloured points
are actually consecutive, but with variable lengths:
date=as.Date(c(1:300))
flow=sin(2*pi/53*c(1:300))
levels=c(rep(c("high","med","low"),100))
data=cbind.data.frame(date, flow, levels)
library(zoo)
z <- z
Hello Baptiste and others,
I tried your example with my dataset, and for a few days I thought it worked
for me. But I realized yesterday that the result wasn't quite what I hoped
for. In my actual data the flows aren't perfectly sinusoidal, and I used a
series of ifelse queries to code the flow
using this code:
data.ts=ts(data$flow, start=c(data$year[1], data$julianday[1]),
frequency=365)
Which does work, but I worry about the influence of leap years, since my
data set is quite large. What is the way to properly code a ts object
with daily measurements? Thank you!
-Pam
Pa
ode:
data.ts=ts(data$flow, start=c(data$year[1],
data$julianday[1]), frequency=365)
Which does work, but I worry about the influence of leap
years, since my data set is quite large. What is the way to properly code
a ts object with daily measurements? Thank you!
-Pam
Pam Allen
Vancouver,
plot(data$date[data$levels=="high"], data$flow[data$levels=="high"],
col="red", type="l")
lines(data$date[data$levels=="med"], data$flow[data$levels=="med"],
col="green", type="l")
lines(
of your data. You can
email me at aliu at miraibio dot com and I would more than happy to do some
data
analysis with you.
In addition, here is a blog post that I have written a while back for some tips
on ELISA data analysis:
http://www.miraibio.com/blog/2009/06/tips-for-data-analysis/
I
a...@ufl.edu (Allen S. Rout) writes:
> Greetings.
>
[ ... ]
D'oh, that was supposed to be aimed at R-devel.
- Allen S. Rout
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R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting
oing this too". The second patch includes the
functionality of the first.
Currently, I'm using a copied-and-pasted version of getDependencies,
with my hacks in place and some moderately evil namespace traipsing to
get at the rest of the utilities. I would much rather make use of the
cod
Dear R forum,
I've looked many places for this and figure there must be an easy way to
implement.
I want to set the working directory in my script to the place where the R
code is located.
Something like:
>setwd(directory where this script is found).
Thanks!
-Allen
--
View this me
e of the larger challenge of "transforming
R data structures". A somewhat pedantic set of recipes might usefully
be evolved on e.g. the wiki.
- Allen S. Rout
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https://stat.ethz.ch/mailman/listinfo/
Dear R forumers,
Wondering if anyone knows of a package that can solve the lyapunov matrix
equation
C=ACA^T + B
in R? Currently I am exporting to Mathematica, solving and bringing the
results back in, but this is not ideal. Can R do this?
Thanks in advance,
Allen
--
View this message in context
numeric(dd.p[,5:12]))
>Error in inherits(x, "data.frame") :
(list) object cannot be coerced to type 'double'
I'm tried unclassing & reclassing, other functions etc. but nothing seems to
work. What is wrong?
Thanks in advance,
Allen
--
View this message in context:
1,handle=I(""))
temps["",] = fifo("./",open="w+")
showConnections()
( you can see that the connection is open)
temps
( you can see that the contents of the data.frame cell is the filehandle
number)
-
Am I just barking up the wrong tree?
- Allen
test set?
Cheers
Tom
--
Thomas Allen
Department of Biochemistry
University of Otago
710 Cumberland street
Box 56
Dunedin
New Zealand
Work: (+64)3 479 5123
Mobile: 027 321 4269
email1: hed...@gmail.com
email2: allth...@student.otago.ac.nz
Only the insane have strength enough to prosper and
Dear R Users
I'm trying to acquire a metric for how similar two graphs are by doing
inexact graph matching. I heard that the "Graph Edit Distance" is one
such metric. Do you know of any R packages (off the top of your head)
that implement an algorithm for calculating this from a pair of
adjacency
hi everyone,
Please help me to calculate copula in R . I already have
the data but I don't know how to manipulate it..please do reply...I
really need your help.
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hi
are you using a 64bit system? 32 bit systems can only allocate about
3GB to a single process.
http://msdn.microsoft.com/en-gb/library/aa366778.aspx
I used to use 32bit winXP, then moved to 64bit Ubuntu8.04 to solve my
memory problems.
if you are 64bit, you should try playing around with the co
diagnostic information.
Is this actually possible?
I don't really like the idea of rewriting the "cat" function and
creating output for stdout from stderr using "kludges" like:
> options(error=function(x=geterrmessage()){cat(x)})
Thank you for any help and ple
ollars.
http://docs.osg.ufl.edu/tsm/current/ext/UFEXCH-MBX01.AD.UFL.EDU-all.html
So the blue series corresponds to tbe blue dollars scale (and bytes)
and the green and red points correspond to the green scale (and
bytes).
Am I being naughty?
- Allen S. Rout
_
33 rows, data has 12
I'm guessing this has something to do with my grouping factor "name", since
there are 12 levels (animals) in this column.
The only help file I could find about this problem suggested that I give all
of my data columns the class "NULL" and then re-run my
" -a ",1," -a ",1," -a ",1,sep="")
cat(cmd,"\n")
}
Step 2) Start R again. Load the package with library() and run the commands:
error()
noerror()
I get the following output:
> > library(errors)
> error()
-a 1 -a 1 -a 1 -a 1
memory release (or am
I blind?)
What I'm really asking is what are some really informative memory
management tools for observing and controlling memory usage in R on a
unix based system?
Kind regards
Tom
--
Thomas Allen
Department of Biochemistry
University of Otago
email1: [EMAIL PROTEC
))
and I've had a problem similar to the Original Poster, resulting in
some ugly reordering, so I do the as.POSIXct _after_ the
data.frame(cbind())
- Allen S. Rout
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https://stat.ethz.ch/mailman/listinfo/r-
rror message on
both computers.
I cannot split up the data into smaller pieces to make this function work,
as I need all of the data to produce a proper growth curve, although I have
reduced the data to 2,000 to test vanfemfit2, and it did work. Any advice
would b
strate some comprehension gained.. ;) the subsetting operations
on data frames, by default, use the most basic data type capable of
representing the answer.
Either the drop=FALSE or the inputs[targets] solution give me the
result I had in mind. I mildly prefer the [targets] statement from a
ading through the indexing and data.frame docs, and remain
unsatisfied so far. Where is my thinking going wrong?
- Allen S. Rout
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PLEASE do read the posting guide
I'm wanting to run R scripts non-interactively as part of a
"technology independent" framework.
I want control over the behaviour of these processes by specifying
various global variables in a "configuration file" that would be
passed as a command line argument.
I'm wondering if you know of any R
Version: Observed in 2.5.1
> x <- 1:10
> y <- 1
> z <- array(1:10,dim=c(10,1))
> persp(x,y,z)
Error in persp(x, y, z, xlim, ylim, zlim, theta, phi, r, d, scale, expand, :
invalid 'x' argument
The problem isn't 'x'. It's 'y'.
__
R-help@r-proj
Version: 2.5.1
array() is inconsistent when given non-integral dimensions:
> zz <- array(0,dim=c(4,3.01))
> dim(zz)
[1] 4 3
> zz <- array(0,dim=c(201,4.05))
Error in dim(data) <- dim : dim<- : dims [product 804] do not match the length
of object [814]
[IMHO the code that did this is broken. M
I recently called plot(x,y) where x was an array of POSIXct timestamps,
and was pleasantly surprised that it produced a nice plot right out of
the box:
z <- as.POSIXct(c("2006-10-26 08:00:00 EDT","2007-10-25 12:00:00 EDT"))
x <- seq(z[1],z[2],len=100)
y <- 1:100
plot(x,y,type="l")
The X axis ha
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