[R] Data frame and function that requires vector as input

[Greg Snow]

If a is a vector with missing values and b is the result of the function call that has just the non-missing computations on a, then you can do something like:

> newdat <- rep(NA, length(a))
> newdat[ !is.na(a) ] <- b

Sometimes the which and match functions can be useful as well.

-- 
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.snow at imail.org
801.408.8111


> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On Behalf Of Gian Luca Negri
> Sent: Tuesday, March 22, 2011 1:16 PM
> To: r-help at r-project.org
> Subject: [R] Data frame and function that requires vector as input
> 
> 
> Hi,
> 
> I have a data.frame(zscores) that looks like this:
> 
>        gA     gB
> g1  0.2    0.6
> g2  0.3    Na
> 
> My problem is that I need to  use a function and the output is a vector
> of only the non NA values, so shorter than the list I would obtain
> dropping the data.frame.
> What is the cleanest way to keep row and column names or putting the
> values back into the same data frame format?
> 
> The function is fdrtool() and I can compute the values I'm interested
> like this:
> FDR=fdrtool([!is.na(zscores)])$qval
> But at this point I don't know how to track back these values, to the
> original data frame
> 
> Thanks,
> Gian Luca
> 
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