Dear all
Sorry for simple question:
I want to put the following option into look as number of X is large 1000
variables
X1 <- sample(c(1,2, 3, 4),10, replace = T, prob = c(0.4, 0.2, 0.2, 0.2))
cv1 <- round(runif(2, 1, 10))
# X2 is copy of X1
X2 <- X1
# now X2 is different in cv1 random posi
zopoulos
>> wrote:
>>
>>> You can do this using function lmList() from package nlme, without having
>>> to
>>> split the data frames, e.g.,
>>>
>>> library(nlme)
>>>
>>> mlis<- lmList(yvar ~ . - clvar | clvar, data = df)
Dear All
Sorry for this simple question, I could not solve it by spending days.
My data looks like this:
# data
set.seed(1234)
clvar <- c( rep(1, 10), rep(2, 10), rep(3, 10), rep(4, 10)) # I have 100
level for this factor var;
yvar <- rnorm(40, 10,6);
var1 <- rnorm(40, 10,4); var2 <- rnorm(40,
Cf)
}
Cim <- apply(nmat, 1, coffin)
I tried hard could get a appropriate way to do the job.
Can you help me?
NIL
-- Forwarded message --
From: Nilaya Sharma
Date: Wed, May 4, 2011 at 11:32 AM
Subject: simple question
To: r-help@r-project.org
Dear R experts
I have simple question, please
0 1 1 0 0 0 0
0 0 0;*
*Run;*
On Sat, Apr 16, 2011 at 3:45 AM, peter dalgaard wrote:
>
> On Apr 16, 2011, at 04:21 , Nilaya Sharma wrote:
>
> > genetic_evaluation <- read.table(textConnection("
> > sire dam adg
> > 1 1 2.24
> > 1 1 1.85
> &g
My question was how can we estimate effects and define correct
model equivalent to SAS code provided.
On Fri, Apr 15, 2011 at 10:21 PM, Nilaya Sharma wrote:
> Hi R community,
>
> I am new bird to R and moved recently from SAS. I am no means expert on
> either but very curious lear
Hi R community,
I am new bird to R and moved recently from SAS. I am no means expert on
either but very curious learner. So your help crucial for me to learn R.
I have already got positive expression.
I was trying to fit a mixed model in animal experiment but stuck at simple
point. The following
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