Have you tried
RSiteSearch(zeta squared)
?
Someone may recognize this, but it never hurts to communicate where you have
already looked.
---
Jeff NewmillerThe . . Go Live...
On Fri, 11 Jul 2014 12:19:39 PM Ryan de Vera wrote:
Hello all,
I have a data frame filled with senders and recipients. Some of the
senders
have multiple rows with different recipients and I want to merge
those
rows. For example I have
a...@email.com b...@email.com
a...@email.com
Hi Jeff,
Yes, I searched that but it comes out zeta-squared coefficient instead of
transformation method.
I hope if there is someone have the experience in applying zeta-squared
transformation in R?
Appreciate any help on this.
Regards,
miles
On Sat, Jul 12, 2014 at 4:01 PM, Jeff Newmiller
Dear all,
I have a list of arrays :
foo-list(A = c(1,3), B =c(1, 2), C = c(3, 1))
foo
$A
[1] 1 3
$B
[1] 1 2
$C
[1] 3 1
if( foo$C[1] == 1 ) foo$C[1]
lapply(foo, function(x) if(x[1] == 1 ) x )
$A
[1] 1 3
$B
[1] 1 2
$C
NULL
I don't want to list $C NULL in the output. How I can do
On 12.07.2014 15:25, ce wrote:
Dear all,
I have a list of arrays :
foo-list(A = c(1,3), B =c(1, 2), C = c(3, 1))
foo
$A
[1] 1 3
$B
[1] 1 2
$C
[1] 3 1
if( foo$C[1] == 1 ) foo$C[1]
lapply(foo, function(x) if(x[1] == 1 ) x )
$A
[1] 1 3
$B
[1] 1 2
$C
NULL
I don't want to
This is a (very) slightly modified version of Jim's reply that takes the
sender's email our of the list element and uses it as the name so it can
be accessed as newdat$'senders email' or newdat[['senders email']]
newdat-list()
for(sndr in unique(rdvdf$sender)) {
newvec-
Hello,
Try the following.
res - lapply(foo, function(x) if(x[1] == 1 ) x )
res[!sapply(res, is.null)]
Hope this helps,
Rui Barradas
Em 12-07-2014 14:25, ce escreveu:
Dear all,
I have a list of arrays :
foo-list(A = c(1,3), B =c(1, 2), C = c(3, 1))
foo
$A
[1] 1 3
$B
[1] 1 2
$C
[1]
I think that removing them is something the OP doesn't understand how to do.
The lapply function ALWAYS produces an output element for every input element.
If this is not what you want then you need to choose a looping structure that
is not so tightly linked to the input, such as a for loop
Thanks Jeff et. all,
This is exactly what I needed.
-Original Message-
From: Jeff Newmiller [jdnew...@dcn.davis.ca.us]
Date: 07/12/2014 10:38 AM
To: Uwe Ligges lig...@statistik.tu-dortmund.de, ce zadi...@excite.com,
r-help@r-project.org
Subject: Re: [R] lapply returns NULL ?
I think
Another option is
Filter(function(x) x[1] == 1, foo)
Best,
luke
On Sat, 12 Jul 2014, ce wrote:
Thanks Jeff et. all,
This is exactly what I needed.
-Original Message-
From: Jeff Newmiller [jdnew...@dcn.davis.ca.us]
Date: 07/12/2014 10:38 AM
To: Uwe Ligges
Hi,
I'm quite new to R and currently trying to use lm to fit linear models but I am
currently stuck my code is as follows:
Model1 = function(meth_matrix,exposure, X1, X2, X3, batch) {
mod = lm(meth_matrix[, methcol]~exposure+X1+X2+X3+batch)
res = summary(mod)$coef[2,]
Hi,
I am currently trying to build a regression model for calibration of
HPLC outputs. I decided to use a multiplicative error model:
Y_i = (a*X_i + b)*eps_i
where the eps_i ~ iid N(0, s^2). Now I am having a hard time estimating
my parameters ;) So the idea was to apply log() to both
Dear R group,
I am trying to update Negative Binomial distribution parameters using MCMC
(Metropolis-within Gibbs sampling) method with Gamma prior.
Can someone direct me to where i can get some R codes for this?
Kind regards
Zakir
[[alternative HTML version deleted]]
Try this:
mod = lm(methcol ~ exposure+X1+X2+X3+batch, data = meth_matrix)
res=coef(summary(mod))[2,]
It will good if you give a subset of data you are working on by dput.
Raghu
On Sat, Jul 12, 2014 at 3:11 PM, Jessica Timms j.a.ti...@newcastle.ac.uk
wrote:
Hi,
I'm quite new to R and
Hi,
I'm working on a new set of simple, ecological modeling exercises for our
campus' undergraduate Introductory Biology lab series. The students work
with simple population models by looking at graphs and seeing how changing
parameter values and initial population sizes changes how the
There are probably several solutions to what you want to do, but you might look
at Shiny as one possibility:
http://shiny.rstudio.com
-Roy M.
On Jul 12, 2014, at 1:47 PM, Louise Stevenson
louise.steven...@lifesci.ucsb.edu wrote:
Hi,
I'm working on a new set of simple, ecological modeling
I recommend RExcel.
RExcel is an add-in for Windows Excel that gives complete access to
the entirety of R
from Windows Excel. It is free for educational use.
The program by Erich Neuwirth is at http://rcom.univie.ac.at
Our book, designed as a supplement to any text, is at
On Jul 12, 2014, at 4:25 AM, Kevin Kunzmann wrote:
Hi,
I am currently trying to build a regression model for calibration of HPLC
outputs. I decided to use a multiplicative error model:
Y_i = (a*X_i + b)*eps_i
where the eps_i ~ iid N(0, s^2). Now I am having a hard time estimating my
Hi,
I was wondering if it's possible in R to do a canonical correlation with
only one dependent variable and several independent variables.
I've tried using cc(X,Y) but I got an error message. In this case I had 1
dependent variable and 10 independent variables.
Error in cor(X, use = pairwise)
Hi Louise,
I tried using Deducer (graphical frontend to R) in my introductory
class (Stat 105 at Iowa State University) for civil and construction
engineers and this was a roaring success this year. The class itself
has a wee bit of software experience, which has previously been done
using JMP.
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