[R] Merge two vectors into one.

[Dimitris Rizopoulos]

you could start by something like the following:

x <- c("Y", "H", NA, NA)
y <- c(NA, "H", NA, "B")

ifelse(is.na(x), y, x)


I hope it helps.

Best,
Dimitris


patricia garcía gonzález wrote:
> Hi all, 
> 
> I have two vectors like this:
> 
> 
>       x <- c( "Y", "H", NA,  NA )
> 
>     y <- c( NA,  "H", NA,  "B" )
> 
> And would like to make one vector with the common elements, and the element available only in one of the vectors.
> 
> 
>       res <- c( "Y",  "H", NA,  "B" )
> 
> 
> Thanks, 
> 
> Patricia
> 
> 
> 
>> From: neptune545 at hotmail.com
>> To: r-help at r-project.org
>> Date: Wed, 28 Jan 2009 14:15:20 +0000
>> Subject: [R] initial value in 'vmmin' is not finite
>>
>>
>> Dear r helpers
>>  
>> I run the following code for nested logit and got a message that 
>>  
>> Error in optim(c(0, 0, 0, 0, 0.1, -2, -0.2), fr, hessian = TRUE, method = "BFGS") :   initial value in 'vmmin' is not finite
>> What does this mean? and how can I correct it?
>>  
>> Thank you
>> June
>>  
>>> yogurt = read.table("yogurtnp.csv", header=F,sep=",")> attach(yogurt)> dim(yogurt)[1] 12784    25> choice = yogurt[,2:5]> price=yogurt[,14:17]> feature=yogurt[,6:9]> n = nrow(yogurt)> constant = rep(1,each=n)> yop=cbind(constant,feature[,1],price[,1])> dan=cbind(constant,feature[,2],price[,2])> hil=cbind(constant,feature[,3],price[,3])> wt=cbind(feature[,4],price[,4])> > fr <- function(x) { + x1 = x[1]+ x2 = x[2]+ x3 = x[3]+ x4 = x[4]+ x5 = x[5]+ x6 = x[6]+ x7 = x[7]+ con1 = rbind(x[1],x[5],x[6])+ con2 = rbind(x[2],x[5],x[6])+ con3 = rbind(x[3],x[5],x[6])+ con4 = rbind(x[5],x[6])+ rho=exp(x[7])/(1+exp(x[7]))+ ey = exp((yop%*%con1)/rho)+ ed = exp((dan%*%con2)/rho)+ eh = exp((hil%*%con3)/rho)+ ew = exp((wt%*%con4)/rho)+ ev = ey+ed+eh+ew+ den=(ey+ed+eh+ew)+ iv = rho*log(den)+ pp=exp(x[4]+iv)/(1+exp(x[4]+iv))+ pr1 =pp* ey/den+ pr2 =pp* ed/den+ pr3 =pp* eh/den+ pr4 =pp* ew/den+ pnp=1/(1+exp(x[4]+iv))+ likelihood = (pnp*yogurt[,1])+(pr1*yogurt[,2])+(pr2*yogurt[,3])+(pr3*yogurt
!
>  [,!
>>  4])+(pr4*yogurt[,4])+ lsum = log(likelihood)+ return(-colSums(lsum))+ }> p = optim(c(0,0,0,0,0.1,-2,-0.2),fr, hessian = TRUE, method = "BFGS")Error in optim(c(0, 0, 0, 0, 0.1, -2, -0.2), fr, hessian = TRUE, method = "BFGS") :   initial value in 'vmmin' is not finite
>>
>> _________________________________________________________________
>>
>>
>>
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>>
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>> R-help at r-project.org mailing list
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>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
> 
> _________________________________________________________________
> 
> 
> 	[[alternative HTML version deleted]]
> 
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
> 

-- 
Dimitris Rizopoulos
Assistant Professor
Department of Biostatistics
Erasmus Medical Center

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