Re: [R] Insert elements into a vector in a defined positions

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 >&g

[R] Insert elements into a vector in a defined positions

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

Re: [R] How to deal with this random variable?

riginal Message- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@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, >

[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 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) but

[R] Principal components vs. raw variables

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 componen

[R] Re siduals from a linear model

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 th

[R] Anyone can help me with a model I have looking for?

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 accumulati

Re: [R] how to calculate the mode of a continuous variable

s$y[3:n] ix<-1+which((v1v3)) lines(s$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: >&g

[R] how to calculate the mode of a continuous variable

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. __

Re: [R] Is there a model like that in R?

accumulated. -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:

[R] Is there a model like that in R?

the rate of accumulation and c the rate of decay. What kind of model is it? Is it somewhat similar to time series? I appreciate your help. Manuel Ramon [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https