Hello!
I recently finished a package that performs nonstationarity tests for large
panels and was wondering if anyone would be willing to read over the vignette I
wrote. The package uses the PANIC methodology from Bai and Ng (2004, 2010) and
is currently available on github. This is the first
Hi R-list,
I'm trying to fit a binomial GLM with user defined link function (negative
exponential), however I seem to be unable to find the correct starting values
to initialise such a model. I've tried taking starting values from a logistic
and log models fit to the same data and also tried to
Hi, everyone,
I am a new R user, and was required to build several heatmaps as shown in
attached file. To reach it, I need to normalize the RPKM data of exon-level
expression to generate Z-score using R. The data looks like
mpleId
geneNa
Maybe your answers are solutions, but not in my case.
As I indicated with my code-sample I don't have a complete tex-file
(with usepackage, document-env, etc). I only generate a piece of a tex
file to \input it later in my puplication tex-file.
So there is no way to specifiy an encoding with a
Dear R users,
Can someone help me on this? I would like to find the sum of the Rain if
the Month appears more than once. For example in row 3 and 4, October
appear more than once, so I want to find the sum of the two rows and
replace it so that the Month just appear once. It some sort of merge bu
On Oct 22, 2014, at 7:46 PM, Jeff Newmiller wrote:
> Because PST8PDT probably is not a valid TZ on your operating system. Try
> "America/LosAngeles"
For me (on a Mac) it has an intervening dash:
> Sys.timezone(location = TRUE)
[1] "America/Los_Angeles"
However, on a mac the system returns a d
Because PST8PDT probably is not a valid TZ on your operating system. Try
"America/LosAngeles"
---
Jeff NewmillerThe . . Go Live...
DCN:Basics: ##.#. ##.#. Live Go...
Hi ,
I have a zoo object with several rows fx, r3m, etc. I would like to
create in the zoo object the lag of one column. One thing I can think of is
to create the lag first and then merge it into the original zoo object,
which is tedious. Can I add an NA column to the zoo object first and then
p
Thanks John.
AT.
On Wednesday, October 22, 2014 5:23 PM, John McKown
wrote:
On Wed, Oct 22, 2014 at 10:37 AM, Zilefac Elvis wrote:
Hi,
>I have fixed width data that I would like to split into columns. Here is a
>sanpshot of the data (actual data is a list object):
>
>Thanks,
>AT.
>
>
Fortune nomination!
cheers,
Rolf
On 23/10/14 12:17, David Winsemius wrote:
You should read the Posting Guide. It makes very clear that no mind reading
services are offered.
On Oct 21, 2014, at 9:01 AM, Carlos M Castaneda wrote:
I am not taking this course for a grade, just self interest.
On Wed, Oct 22, 2014 at 10:37 AM, Zilefac Elvis
wrote:
> Hi,
> I have fixed width data that I would like to split into columns. Here is a
> sanpshot of the data (actual data is a list object):
>
>
> Thanks,
> AT.
>
>
I see you already have an answer that you like. I will add that read.fwf
mig
You should read the Posting Guide. It makes very clear that no mind reading
services are offered.
On Oct 21, 2014, at 9:01 AM, Carlos M Castaneda wrote:
> I am not taking this course for a grade, just self interest. I am stock
> with making the function. is there any where I can see how is done
Thanks Ellison.
Just what I wanted.
Cheers.
AT.
On Wednesday, October 22, 2014 10:03 AM, S Ellison
wrote:
This seems to do a fair bit of it on your example data; you can pull out the
date bits separately using Date functions if you need them
decode.lst <- function(x) {
data.frame(Date=as
Thank you so much, Uwe!
seavewav is from another package :)
On Wed, Oct 22, 2014 at 4:03 PM, Uwe Ligges
wrote:
>
>
> On 22.10.2014 21:57, Dimitri Liakhovitski wrote:
>>
>> I've read in a wav file using 'tuneR':
>>
>> silence<-readWave("silence0.5sec.wav")
>>
>> I run summary(silence):
>>
>> Wave
Thank you so much, Uwe!
seavewav is from another package :)
On Wed, Oct 22, 2014 at 4:03 PM, Uwe Ligges
wrote:
>
>
> On 22.10.2014 21:57, Dimitri Liakhovitski wrote:
>>
>> I've read in a wav file using 'tuneR':
>>
>> silence<-readWave("silence0.5sec.wav")
>>
>> I run summary(silence):
>>
>> Wave
On 22.10.2014 21:57, Dimitri Liakhovitski wrote:
I've read in a wav file using 'tuneR':
silence<-readWave("silence0.5sec.wav")
I run summary(silence):
Wave Object
Number of Samples: 22051
Duration (seconds): 0.5
Samplingrate (Hertz): 44100
Channels (Mono/Stereo): Mono
PCM (integer
I've read in a wav file using 'tuneR':
silence<-readWave("silence0.5sec.wav")
I run summary(silence):
Wave Object
Number of Samples: 22051
Duration (seconds): 0.5
Samplingrate (Hertz): 44100
Channels (Mono/Stereo): Mono
PCM (integer format): TRUE
Bit (8/16/24/32/64):16
Summary
Thank you very much for looking into it, gentlemen!
On Tue, Oct 21, 2014 at 2:29 PM, Uwe Ligges
wrote:
>
>
> On 21.10.2014 19:00, William Dunlap wrote:
>>
>> A few minutes with valgrind showed that output_pos was never
>> initialized, so the output array was not getting filled correctly.
>> The f
Kristi-
Any questions related to RMark should be sent to the forum on RMark at
phidot.org. If you provide me with a snippet of your data I will try to
help you.
regards --jeff
On Wed, Oct 22, 2014 at 5:55 AM, Kristi Glover
wrote:
> Dear R users,I wondering how I can import and extract the dat
seems like a transpose, so use
?t
t(your.data.frame)
On 22 October 2014 11:34, Matthias Weber wrote:
> Hello together,
>
> i have a little problem. Maybe anyone can help me.
>
> I have a data. frame which look like this one:
> 1000 1001 10021003
> 15 6 12
With melt and rep you are close. If you combine them it works:
library(reshape)
# your data:
df1 <- data.frame(area=c(1,2),group1=c(2,3),group2=c(1,5),group3=c(4,0))
df2<-data.frame(person_id=seq(1:15),area=c(rep(1,7),rep(2,8)),group_num=c(1,1,2,3,3,3,3,1,1,1,2,2,2,2,2))
# first melt
d <- melt(df1
Dear R users,I wondering how I can import and extract the data of
.txt format to the format that is compatible with RMark package . I tried
following script to import and export. Importing was OK but did not work for
exporting. Would you give any suggestions?
install.packages("RMark")library(RM
I am not taking this course for a grade, just self interest. I am stock
with making the function. is there any where I can see how is done. I will
not submit the home work. I want to use the homework as a tool to
understand.\ the Coding for R.
Thanks
[[alternative HTML version deleted]]
Dear R users,I wondering how I can import and extract the data of .txt format
to the format that is compatible with RMark package for further analysis. I
tried following example but did not work. Would you give any suggestions?
install.packages("RMark")library(RMark)
#Import table (inp format)
Dear R users,I wondering how I can import and extract the data of .txt format
to the format that is compatible with RMark package for further analysis. I
tried following example but did not work. Would you give any suggestions?
install.packages("RMark")library(RMark)
#Import table (inp format)
Hello together,
i have a little problem. Maybe anyone can help me.
I have a data. frame which look like this one:
1000 1001 10021003
15 6 1211
24 3 81
What i need is a data.frame, which looks like this one. The Column na
Hi,
I am a new R user and also not sure about the below concern is really a bug,
My concern are listed below,
Look at the below example, when Sys.Date () is called within the as.POSIXlt
() function. Why it is displaying only the date value and the timezone is
selected to UTC even though the TZ v
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
> Behalf Of Clint Bowman
>
> ?read.fortran
Also read.fwf if it's in a file.
S
***
This email and any attachments are con
This seems to do a fair bit of it on your example data; you can pull out the
date bits separately using Date functions if you need them
decode.lst <- function(x) {
data.frame(Date=as.Date(substr(x,1,8), format="%Y%m%d"),
Site=substr(x, 9,12),
?read.fortran
Clint BowmanINTERNET: cl...@ecy.wa.gov
Air Quality Modeler INTERNET: cl...@math.utah.edu
Department of Ecology VOICE: (360) 407-6815
PO Box 47600FAX:(360) 407-7534
Olympia, WA 98504-7600
I've got data frame containing a simple frequency distribution of numbers of
people in three age groups by area.
df1<-data.frame(area=c(1,2),group1=c(2,3),group2=c(1,5),group3=c(4,0))
df1
I want to get a data frame with one record per person (in my case 15 of them)
which would look like this, w
Hi,
I have fixed width data that I would like to split into columns. Here is a
sanpshot of the data (actual data is a list object):
lst1Sub<-
"20131124GGG1 23.00"
"20131125GGG1 15.00"
"20131128GGG1 0.00"
"201312 1GGG1 0.00"
"201312 4GGG1 0.00"
"201312 7GGG1 10.00"
"20131210GGG1 0.00"
"20
David Kikuchi gmail.com> writes:
>
> Hi all,
>
> I'm modeling the probability that a subject attacks or rejects a prey
> item based on its proportion of yellow coloration and size. There are
> two populations of prey, one defended and the other undefended, so
> subjects should reject one typ
Alright, if it is the case that the "output file" already exists, then yes
Sven's suggestion is more or less the only solution.
Henrik
On Oct 22, 2014 2:08 AM, "Sven E. Templer" wrote:
> He wants to prepend, not append.
>
> On 22 October 2014 11:04, Henrik Bengtsson wrote:
> > You can! Open a f
Thanks to all
It seems that negative format - is very rare so there is no interest in
providing some function for changing such numbers to "correct" ones. My
function seems to be similar to solution of others so I stay with it for the
time being.
Cheers
Petr
> -Original Message-
He wants to prepend, not append.
On 22 October 2014 11:04, Henrik Bengtsson wrote:
> You can! Open a file connection and write to that. Whatever write commands
> you use will append to the output. Don't forget to close the connection at
> the end. See ?file
>
> Henrik
>
> On Oct 22, 2014 12:33 AM
You can! Open a file connection and write to that. Whatever write commands
you use will append to the output. Don't forget to close the connection at
the end. See ?file
Henrik
On Oct 22, 2014 12:33 AM, "Sven E. Templer" wrote:
> Hi.
>
> You can't.
>
> But using a second file where you first writ
Hello,
Just use ?cat and ?write.table with append = TRUE. Something like the
following.
txt <- "ampl.tab 2 1"
dat <- read.table(text = "
A B
2 3
4 6
2 0
", header = TRUE)
tmp <- "tmp.txt"
cat(txt, "\n", file = tmp) " Don't forget the newline "\n"
write.table(dat, file = tmp, append = T
# i run the following after fitting claims data into the negative binomial
as the frequency distribution and the lognormal for the severity
distribution using the package "fitdistrplus".
require(actuar)
fx<- discretize(plnorm(x,11.69,0.79331),method="unbiased",step=500,from=0,
to=qln
Hi.
You can't.
But using a second file where you first write your header and then
append the original file is a solution. ?cat and ?write.table with a
focus on the 'append' argument should help. you can then use ?unlink
to delete the original file and ?file.rename to rename the second, if
desired
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