That's good . Your solution works for me.
Than you Rolf.
Rolf Turner-3 wrote:
On 26/11/2009, at 10:46 AM, Manuel Ramon wrote:
Dear R users,
I have a vector of length n and I want to insert some elements (in
my case
the NA string) into a defined positions. For example, my vector
Dear R users,
I have a vector of length n and I want to insert some elements (in my case
the NA string) into a defined positions. For example, my vector is z1 and I
want to add NA's in positions 4, 6 y 7 so after that, my new vector, z2,
should have a length of 10+3.
z1 - 1:10
id - c(4,6,7)
...@r-project.org]
On
Behalf Of Manuel Ramon
Sent: Monday, July 27, 2009 9:54 AM
To: r-help@r-project.org
Subject: [R] How to deal with this random variable?
Hello to everybody,
I have a data frame with 100 measures of quality for 3 variables: A, B and
C. These quality variables are measured
Hello to everybody,
I have a data frame with 100 measures of quality for 3 variables: A, B and
C. These quality variables are measured in diferent times along the
productive process. My data comes from 5 experiments (5 replicates with 20
measures for replicate). I also have a final measure (Z)
Hello to everyone,
I am starting to work on classification procedures. I usualy do a principal
component analysis (PCA) as a previous step in order to reduce variables and
after I apply a cluster procedure. My question is if it will be better to
use raw variables instead of use principal
I'm working with a linear model with four factors as explicatory variables,
being all of them significally (e.g. y ~ a + b + c + d). I thought that the
residuals of a linear model keep the variance not explained by the model, so
if I use my model with just three factors (y ~ a + b + c) and keep
Hello to everyone.
I don't know if that forum is the rigth place to post my question but I
would be greatful for your help.
My problem is as follow: I have a performance trait as a dependent variable
and measures of temperature in different days as a covariate. I assume that
there is an
Is there any R funtion that allow the estimation of mode in a continuous
variable?
Thank you
--
View this message in context:
http://www.nabble.com/how-to-calculate-the-mode-of-a-continuous-variable-tp19214243p19214243.html
Sent from the R help mailing list archive at Nabble.com.
))
lines(s$x,s$y,col=red)
points(s$x[ix],s$y[ix],col=blue)
md - s$x[which(s$y==max(s$y))]
md
}
Thanks for your help,
Manuel Ramon
Peter Dalgaard wrote:
Henrique Dallazuanna wrote:
Try:
as.numeric(names(which.max(table(x
On Fri, Aug 29, 2008 at 3:13 AM, Manuel
.
-Original Message-
From: Gustaf Rydevik [mailto:[EMAIL PROTECTED]
Sent: Friday, September 28, 2007 11:13 AM
To: Manuel Ramon
Cc: r-help@r-project.org
Subject: Re: [R] Is there a model like that in R?
On 9/28/07, Manuel Ramon [EMAIL PROTECTED] wrote:
Hi to everyone,
I
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