[R] problem in R

[William Dunlap]

  > d <- data.frame(x=c(1,NA,3,4,5), y=c(2,4,6,8,9), row.names=paste("No.",1:5))
  > predict(lm(y~x, data=d, na.action=na.omit))
  No. 1 No. 3 No. 4 No. 5
    2.2   5.8   7.6   9.4
  > d$y - predict(lm(y~x, data=d, na.action=na.omit))
  [1] -0.2 -1.8 -1.6 -1.4  6.8
  Warning message:
  In d$y - predict(lm(y ~ x, data = d, na.action = na.omit)) :
    longer object length is not a multiple of shorter object length
  > predict(lm(y~x, data=d, na.action=na.exclude))
  No. 1 No. 2 No. 3 No. 4 No. 5
    2.2    NA   5.8   7.6   9.4
  > d$y - predict(lm(y~x, data=d, na.action=na.exclude))
  No. 1 No. 2 No. 3 No. 4 No. 5
   -0.2    NA   0.2   0.4  -0.4

Which do you prefer?

Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com 

> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of iliketurtles
> Sent: Wednesday, January 04, 2012 2:15 PM
> To: r-help at r-project.org
> Subject: Re: [R] problem in R
> 
> Michael, thank you for your post, I learned a lot.
> 
> Why is it that people prefer na.exclude to na.omit?
> 
> -----
> ----
> 
> Isaac
> Research Assistant
> Quantitative Finance Faculty, UTS
> --
> View this message in context: http://r.789695.n4.nabble.com/problem-in-R-tp4260254p4263119.html
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