Le 13/11/2014 01:26, MacQueen, Don a écrit :
Along the lines of what Bert Gunter said, the ideal way to represent LDL
results depends on the functions used later to analyze them. I deal with
such data on a daily basis and have never found it necessary to
incorporate that information in the same
?Dear All
I have some data expressed in geometric means and 95% confidence intervals.
Can I code them in metafor as:
rma(m1i=geometric mean 1, m2i=geometric mean 2, sd1i=geometric mean 1 CI /3.92,
sd2i=geometric mean 2 CI/3.92...etc, measure=MD)
All of the studies use geometric means.
On 13/11/2014 11:00, Purssell, Ed wrote:
?Dear All
I have some data expressed in geometric means and 95% confidence intervals.
Can I code them in metafor as:
rma(m1i=geometric mean 1, m2i=geometric mean 2, sd1i=geometric mean 1 CI /3.92,
sd2i=geometric mean 2 CI/3.92...etc,
On 13/11/2014 11:08, Marc Girondot wrote:
Le 13/11/2014 01:26, MacQueen, Don a écrit :
Along the lines of what Bert Gunter said, the ideal way to represent LDL
results depends on the functions used later to analyze them. I deal with
such data on a daily basis and have never found it necessary
As you may know already, that design can be considerably improved by making the
wheel triangular, reducing the bump count per revolution by a full 25%
-pd
On 13 Nov 2014, at 16:17 , Keith Jewell keith.jew...@campdenbri.co.uk wrote:
You are re-inventing the wheel and yours will probably end
On Thu, 13 Nov 2014, peter dalgaard wrote:
As you may know already, that design can be considerably improved by
making the wheel triangular, reducing the bump count per revolution by a
full 25%
It has been written that those who go around in circles think of
themselves as big wheels.
Rich
On Thu, 13 Nov 2014, Keith Jewell wrote:
You are re-inventing the wheel and yours will probably end up square!
R already has facilities for handling censored data, e.g. Surv in the
survival package (which despite its name is applicable to applications other
than survival analysis).
There
Hello —
I am using inline C functions within foreach %dopar% loop. On SMP (doParallel,
doMP) it works but on MPI-based clusters (doMPI) it does’t. The reason, I
think, is because the object code produced using the inline package,
essentially an .so file, does not get copied onto the worker
Dear colleagues,
In the function multinom (package nnet), I get the following message after
training for a model with 9 inputs and 6 classes (output) :
# weights: 66 (50 variable)
I understand that there are 50 variables in the model,
but I don't understand the number 66.
How can we
I have a bit of trouble here to program in r. I am anew user but i really enjoy
working with it.I have a large number of variables in a matrix that are
arranged sequentially on a line (chromosome). This order has to be maintained
whatsoever. I am to develop an r algorithm that will develop
Hello togehter,
i have a little problem. Maybe anyone can help me.
I have 2 data.frames, which look like as follows:
First:
NAMEMONTH BONUS
1 Andy 2014-10 100
2 Pete 2014-10200
3 Marc2014-10300
4 Andy2014-11400
Hello,
See ?merge, in particular the argument 'all'.
dat1 - read.table(text =
NAMEMONTH BONUS
1 Andy 2014-10 100
2 Pete 2014-10200
3 Marc2014-10300
4 Andy2014-11400
, header = TRUE, stringsAsFactors = FALSE)
merge(df1, df2, all=TRUE)
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Thu, Nov 13, 2014 at 6:02 AM, Matthias Weber
matthias.we...@fntsoftware.com wrote:
Hello togehter,
i have a little problem. Maybe anyone can help me.
I have 2 data.frames, which look like as follows:
First:
On 13/11/2014 14:02, Matthias Weber wrote:
Hello togehter,
i have a little problem. Maybe anyone can help me.
I think you might find
?merge
enlightening
Indeed given that the word merge occurs in your subject line and your
text it is surprising you have not already found it.
I have 2
Hi,
the print of rpart fitting gives the summary of tree
I would like to save the console text of:
fit - rpart(formula, data)
summary - print(fit)
when I look in summary I did not find the same thing as in
print(rpart)
[1] Clinical Data exists
[1] merging samples from Clinical and
Hi,
All right for rpart package but it seems there is a confusion in text
function.
prp is not found
Error in fun() : could not find function prp
Thanks
Ô__
c/ /'_;kmezhoud
(*) \(*) ⴽⴰⵔⵉⵎ ⵎⴻⵣⵀⵓⴷ
http://bioinformatics.tn/
[[alternative HTML version deleted]]
Use capture.output(), as in
junk - capture.output(summary(1:10))
junk
[1]Min. 1st Qu. MedianMean 3rd Qu.Max.
[2]1.003.255.505.507.75 10.00
cat(junk, sep=\n)
Min. 1st Qu. MedianMean 3rd Qu.Max.
1.003.255.505.507.75
Yes Thanks! that works,
but I loose the \n when I would like to save or edit it.
getTextInWindows is a function that edits any text in editor.
getTextInWindows(summary): without \n
save (file= junk.txt, junk):without \n
getTextInWindow(capture.output(cat(junk, sep = \n))) :No works
Thanks
Use paste(collapse=\n, junk) if you want it as a single string with \n's
in it.
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Thu, Nov 13, 2014 at 1:13 PM, Karim Mezhoud kmezh...@gmail.com wrote:
Yes Thanks! that works,
but I loose the \n when I would like to save or edit it.
OK thanks
That works.
:)
Ô__
c/ /'_;kmezhoud
(*) \(*) ⴽⴰⵔⵉⵎ ⵎⴻⵣⵀⵓⴷ
http://bioinformatics.tn/
On Thu, Nov 13, 2014 at 10:41 PM, William Dunlap wdun...@tibco.com wrote:
Use paste(collapse=\n, junk) if you want it as a single string with \n's
in it.
Bill Dunlap
TIBCO Software
Hello,
I'm trying to generate plain text from the .Rd files. I run R CMD
Rd2txt xx.Rd -o xx.txt to get the plain text file. When I open the
text file, I see _^H in front of each character in all section
titles. I can't figure out where the problem is. If I don't specify -o
argument, R CMD Rd2txt
I have a straightforward application of ddply() and summarize():
ddply(MyFrame, .(Treatment, Week), summarize, MeanValue=mean(MyVar))
This works just fine:
Treatment Week MeanValue
1MyDrug BASELINE 5.91
2MyDrugWEEK 1 4.68
3MyDrugWEEK 2 4.08
4
While importing .csv files into R, all data are converted to factor-by
default. But, how can I preserve the original format of the data like
numeric to numeric, integer to integer, character to character etc while
importing from csv to R environment.
I tried several ways, no thing helps. I used
On Nov 13, 2014, at 3:31 PM, John Posner wrote:
I have a straightforward application of ddply() and summarize():
ddply(MyFrame, .(Treatment, Week), summarize, MeanValue=mean(MyVar))
This works just fine:
Treatment Week MeanValue
1MyDrug BASELINE 5.91
2MyDrug
On Nov 13, 2014, at 4:28 PM, Ramesh Gautam wrote:
While importing .csv files into R, all data are converted to factor-by
default. But, how can I preserve the original format of the data like
numeric to numeric, integer to integer, character to character etc while
importing from csv to R
On 13/11/2014, 2:51 PM, Zheng Da wrote:
Hello,
I'm trying to generate plain text from the .Rd files. I run R CMD
Rd2txt xx.Rd -o xx.txt to get the plain text file. When I open the
text file, I see _^H in front of each character in all section
titles. I can't figure out where the problem is.
On 14/11/14 13:59, Duncan Murdoch wrote:
On 13/11/2014, 2:51 PM, Zheng Da wrote:
Hello,
I'm trying to generate plain text from the .Rd files. I run R CMD
Rd2txt xx.Rd -o xx.txt to get the plain text file. When I open the
text file, I see _^H in front of each character in all section
titles. I
On Nov 13, 2014, at 11:51 AM, Zheng Da wrote:
Hello,
I'm trying to generate plain text from the .Rd files. I run R CMD
Rd2txt xx.Rd -o xx.txt to get the plain text file. When I open the
text file, I see _^H in front of each character in all section
titles. I can't figure out where the
Thank you. Great help!
Given your information, we can generate text files without _^H with
the following command:
echo tools::Rd2txt(\$input_file\, out=\$output_file\,
options=list(underline_titles=FALSE)) | R --no-save
It's kind tedious though.
I'm just curious. Which text editor can actually
Which text editor can actually display _^H correct?
Not aware of any. It is from very old line printer behavior, which most (all?)
printers can still support even though few computers are set up to utilize it.
---
Jeff
Good Morning Sir/Ma,
I am POPOOLA DANIEL a Forest Biometrician in making from the University of
Ibadan, Ibadan Nigeria. Please Sir/Ma I am having issues on performing
Non-linear mixed model on R (using maximum likelihood approach). I am trying to
input four different measured variables which
Hi
Your original numeric data probably contain something which prevents read.* to
accept them as numeric (decimal point, white space)
what is result of
str(imported.data)
Petr Pikal
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
project.org] On
Hi
1. Do not post in html
2. Post example of data, preferably by dput function
3. Based on posted data explain what do you want to achieve
4. As it seems to be biological issue did you look at Bioconductor?
Cheers
Petr
-Original Message-
From:
Estimados todos:
Os escribo porque tengo un problema que nos está dejando un poco
trastornadillos. Probablemente sea uno de esos que los ve un experto a
un kilómetro y dice ¡oh! toca aquí. Pero nos trae de cabeza.
El caso es que aquí usamos un script para calcular ciertos parámetros
(Perdón, no puse asunto en el post original)
Ah, corremos R 3.0.2 y l alibrería MASS 7.3-29
Estimados todos:
Os escribo porque tengo un problema que nos está dejando un poco
trastornadillos. Probablemente sea uno de esos que los ve un experto a
un kilómetro y dice ¡oh! toca aquí. Pero nos trae
Perdón de nuevo. El enlace correctopara los datos es:
https://gist.github.com/jtornero/734170b42c8307276451
Gracias y un saludo
El 13/11/14 a las 14:03, Jorge Tornero - Listas escribió:
Estimados todos:
Os escribo porque tengo un problema que nos está dejando un poco
trastornadillos.
Bueno, es posible que los altos valores de tu respuesta (la media de Fobs es
alrededor de 1) y la escasez de datos validos (el 90% de los valores de
Fobs son NA) hagan la vida dificil a glm.nb. Puedes probar ayudar glm.nb con
valores de arranque razonables para este tipo de datos.
Prueba
Hola.
Mira en cran.r-project.org en la parte de como instalar R en linux,
básicamente necesitas añadir una línea al sources.list
debhttp://favorite-cran-mirror/bin/linux/debian
http://%3Cfavorite-cran-mirror%3E/bin/linux/debian squeeze-cran3/
por ejemplo pon en el sources.list
Hola Jesús:
Aqui tienes informacion de como hacerlo en debian:
http://cran.r-project.org/bin/linux/debian/
Yo utilizo Mint y es basicamente lo mismo, cambiando el nombre de la
distro y la version
Ah, que no se te olvide la clave, esta en el mismo link pero bajando
bastante para abajo.
Hola, ¿qué tal?
Quiero abundar en el mensaje de Olivier y añadir que no entiendo del
todo el que uses link = identity. ¿Por qué no usar la canónica? En
tal caso, el ajuste no da problemas.
La función glm.nb sin una estimación previa de theta trata de ajustar
primero un glm de Poisson para
Hola Jesus, yo tengo instalado Debian testing (jessie) y despues de
hacer un apt-get update aparece la version 3.1.1-1 de R.
Antes tuve una version Rolling de Mint, y trate de instalar la ultima
version de R desde las fuentes, pero nunca me quedaba bien (puede haber
sido por falta de habilidad
hola Jesus,
creo que ya te han respondido pero por si acaso te cuento que yo uso
Crunchbang (una distro de Debian Stable) y hace poco me lo instale. Por si
te es más cómodo puedes seguir los pasos de
http://enclaveder.wordpress.com/2014/10/20/r-cran/ y en siguiente post
explica como instalar
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