Aron Lindberg aron.lindberg at case.edu writes:
Hi Everyone,
I'm working on a thorny subsetting problem involving list of lists. I've put
a
dput of the data here:
https://gist.githubusercontent.com/aronlindberg/b916dee897d051ac5be5/
Andras Farkas motyocska at yahoo.com writes:
Dear All,
please help with the following if you can:
[snip details]
first24 -sum(unlist(c(subset(df, df[, 'simt'] 0 df[, 'simt'] =
z[1], 3
second24 -sum(unlist(c(subset(df, df[, 'simt'] z[1] df[, 'simt'] =
z[2], 3
Adam Lawrence alaw005 at gmail.com writes:
I am hoping someone can help me with a bus stop sequencing problem in R,
where I need to match counts of people getting on and off a bus to the
correct stop in the bus route stop sequence. I have tried looking
online/forums for sequence matching
Spencer Graves spencer.graves at structuremonitoring.com writes:
Hi, Jim et al.:
Thanks for the reply, Jim.
What are your favorite examples using normal probability plots to
identify outliers, skewness, kurtosis, mixtures, and the need for
transformations in plots of
Scherber, Christoph cscherb1 at gwdg.de writes:
Dear all,
I am trying to express a multinomial GLM (using nnet) as a series of GLM
models.
However, when I compare the multinom() predictions to those from GLM, I
see differences that I can´t
explain. Can anyone help me out here?
Here
Charles Berry ccberry at ucsd.edu writes:
Scherber, Christoph cscherb1 at gwdg.de writes:
Dear all,
I am trying to express a multinomial GLM (using nnet) as a series of GLM
models.
[deleted]
Doing the obvious comparison:
ggen.preds -
sapply( levels(multicats
Adam Hayward a.hayward at sheffield.ac.uk writes:
Hi all,
I have quite a specific problem with producing 300ppi plots in tiff format
for publication. I have found ggsave to work beautifully with a single
plot, which can then be exported to GIMP to compress the resulting large
tiff file.
peter dalgaard pdalgd at gmail.com writes:
On 16 Jun 2014, at 05:22 , array chip arrayprofile at yahoo.com wrote:
Hi, I am using clogit() from survival package to do conditional
logistic regression. I also need to make prediction on an
independent dataset to calculate predicted
Kevin Wright kw.stat at gmail.com writes:
Have you tried the roxygen2 package?
I have.
org-mode + roxygen2 + inline is what was used to make this package:
http://www.bioconductor.org/packages/release/bioc/html/geneRxCluster.html
Everything from the DESCRIPTION file to the C-code to the
Ravi Varadhan ravi.varadhan at jhu.edu writes:
Hi,
I have this problem: K candidates apply for a job. There are R referees
available to review their resumes and
provide feedback. Suppose that we would like M referees to review each
candidate (M R). How would I assign
candidates to
Ravi Varadhan ravi.varadhan at jhu.edu writes:
Thanks, Bert.
I have written this simple code, which is crude, but seems to do a decent
job. It works perfectly when M is a
factor of R. Otherwise, it gives decent balance (of course, balance is not
guaranteed). I guess it is
possible to
Bert Gunter gunter.berton at gene.com writes:
Yes, I realize that it is more likely a misunderstanding on my part.
Suitable humility will be tendered if this is pointed out.
The claimed bug is that predict.lm throws an error when the scale
argument is specified with interval = conf (and
Charles Berry ccberry at ucsd.edu writes:
Bert Gunter gunter.berton at gene.com writes:
[snip]
I do not see this (see below).
Maybe traceback() or options(recover=browser) to get
to the bottom??
Argh! I meant:
options(error = recover)
[rest deleted
Rolf Turner r.turner at auckland.ac.nz writes:
I *do* see the same phenomenon that Bert describes and the code of
predict.lm()
*does* appear to contain a bug. There is a line:
[snip]
The operative difference between my set-up and Chuck's is that I am using
version 3.0.2 Patched.
Christofer Bogaso bogaso.christofer at gmail.com writes:
Hi again,
In R, there are various numerics like, NA, Inf, or simple integers etc.
However I want to include one custom type: TBD, which R should treat as
numeric, not character.
That TBD should have same property like Inf,
Jim Lemon jim at bitwrit.com.au writes:
On 08/24/2013 04:16 AM, Michael Friendly wrote:
For sequential analysis of sequences of events, I want to calculate a
series of lagged
versions of a (numeric or character) variable. The simple function below
does this,
but I can't see how to
David Romano dromano at stanford.edu writes:
Hi everyone,
I'm trying to use apply (with a call to zoo's rollapply within) on the
columns of a 1.5Kx165K matrix, and I'd like to make use of the other cores
on my machine to speed it up. (And hopefully also leave more memory free: I
find
Benjamin Caldwell btcaldwell at berkeley.edu writes:
Dear R helpers
Reproducible example:
#warning - this causes a hard freeze on the machines I've tried it on
matrix.holder- matrix(rnorm(150), nrow=30, ncol=5)
Out=
expand.grid(matrix.holder[,1],matrix.holder[,2],matrix.holder[,3],
Katherine Gobin katherine_gobin at yahoo.com writes:
Dear R forum
Suppose I have a data.frame
Say.
[snip]
How to automatically identify and retain only one column (in this example
column x) among the identical
columns besides other non-identical columns (viz. id, y and z).
See
Charles Berry ccberry at ucsd.edu writes:
[snip]
Katherine Gobin katherine_gobin at yahoo.com writes:
How to automatically identify and retain only one column (in this example
column x) among the identical
columns besides other non-identical columns (viz. id, y and z).
See
?unique
Mark Orr mo2259 at columbia.edu writes:
Hi R community,
I have a question concerning passing arguments between apply and lapply?
[snip]
#START CODE SNIPPET
#LIST AND VECTOR
rm(list=ls())
l - list(1:3,2:3,4:10,7:9)
v - 1:3
#USED IN j loop to catch values
catch.mat -
Thomas Alexander Gerds tag at biostat.ku.dk writes:
Dear List
I am looking for the recommended way to create a formula inside a
function with an empty environment. I tried several versions (see
below), and one of them seemed to work, but I dont understand why there
is a difference
Ben Bolker bbolker at gmail.com writes:
Maybe FAQ 7.31 was referred to not for its direct relevance but as
a measure of the old-hand-ness of the people who will get the joke.
!1i|!0
Chuck
__
R-help@r-project.org mailing list
Richard M. Heiberger rmh at temple.edu writes:
## Can someone suggest a simpler expression than either of these, with the
goal
## of taking a long matrix into a wide one with exactly one of the factors
converted to
## columns and all the rest retained as factors. I want something that
Hi all,
The subject line is TRUE.
Today I accidentally typed rnorm(!0).
My old eyes took a minute to focus clearly enough to see what I really typed and
why I got '!0' random numbers instead of '10' random normal numbers.
If the subject line is disturbing, be assured that this is TRUE:
Janesh Devkota janesh.devkota at gmail.com writes:
Hello R Users,
I have ADCP (Acoustic Doppler Current Profiler) data measurements for a
river and I want to process these data using R. Is there a R package to
handle ADCP data ? Any suggestions are highly appreciated.
Google
zoeita zoe-allcock at live.co.uk writes:
Hi,
I have had a look around the forums and I can't seem to find anything that
works with my data. I have lats, longs, time, tidal speed and direction and
need to plot this in an xy plot to determine changes over time. contour and
cloud have been
carol white wht_crl at yahoo.com writes:
Hi,
I split a data set into two partitions (80 and 42), use the first as the
training set in glm and the second as
testing set in glm predict. But when I call glm.predict, I get the warning
message:
Warning message:
'newdata' had 42 rows but
Mikkel Grum mi2kelgrum at yahoo.com writes:
I have a script that runs as a cron job every minute (on Ubuntu 10.10 and R
2.11.1), querying a database for new
data. Most of the time it takes a few seconds to run, but once in while it
takes more than a minute and the next
run starts (on the
Charles C. Berry cberry at tajo.ucsd.edu writes:
On Mon, 5 Jul 2010, Moohwan Kim wrote:
Dear R family,
I have a question about how to detect some duplicate numeric observations.
Suppose that I have two variables dataset.
order value
1 0.52
2 0.23
3 0.43
4 0.21
5
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