[R] NADA Data Frame Format: Wide or Long?

[MacQueen, Don]

I haven't used NADA functions in quite a while, but from what I recall,
you will likely be using the "narrow" format, and sub-setting as needed
for the different analytes.

As Jean suggested, the examples in the help pages for the NADA function(s)
of interest should make it clear.

This example follows exactly the example in ?cenros.

  with( subset(yourdataframe, param=='Ag'),  cenros(quant,ceneq1) )

This should do a simple censored summary statistica calculation for silver
(assuming quant contains your reporting level for censored results, which
appears to be the case).

I'd also suggest you try to load your data so that site and param are not
factors, though this could depend on your ultimate analysis.

-Don

-- 
Don MacQueen

Lawrence Livermore National Laboratory
7000 East Ave., L-627
Livermore, CA 94550
925-423-1062





On 7/3/12 9:57 AM, "Rich Shepard" <rshepard at appl-ecosys.com> wrote:

>   I have water chemistry data with censored values (i.e., those less than
>reporting levels) in a data frame with a narrow (i.e., database table)
>format. The structure is:
>
>  $ site    : Factor w/ 64 levels "D-1","D-2","D-3",..: 1 1 1 1 1 1 1 1
>...
>  $ sampdate: Date, format: "2007-12-12" "2007-12-12" ...
>  $ preeq0  : logi  TRUE TRUE TRUE TRUE TRUE TRUE ...
>  $ param   : Factor w/ 37 levels "Ag","Al","Alk_tot",..: 1 2 8 17 3 4 9
>...
>  $ quant   : num  0.005 0.106 1 231 231 0.011 0.001 0.002 0.001 100 ...
>  $ ceneq1  : logi  TRUE FALSE TRUE FALSE FALSE FALSE ...
>  $ floor   : num  0 0.106 0 231 231 0.011 0 0 0 100 ...
>  $ ceiling : num  0.005 0.106 1 231 231 0.011 0.001 0.002 0.001 100 ...
>
>   The logical 'preeq0' separates sampdate into two groups; 'ceneq1'
>indicates censored/uncensored values; 'floor' and 'ceiling' are the minima
>and maxima for censored values.
>
>   The NADA package methods will be used, but I have not found
>information on
>whether this format or the wide (i.e., spreadsheet) format should be used.
>The NADA.pdf document doesn't tell me; at least, I haven't found the
>answer
>there. I can apply reshape2 to melt and re-cast the data in wide format if
>that's what is appropriate. Please provide a pointer to documents I can
>read
>for an answer to this and related questions.
>
>Rich
>
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