Hi:

This seems like a problem that is well suited for the cast() function in
package reshape2. Here's a toy example:

library(reshape2)
df <- data.frame(idnum = rep(101:104, c(3, 2, 4, 3)),
                  lab = unlist(sapply(c(3, 2, 4, 3), function(x)
sample(LETTERS[1:6], x))),
                  y = rpois(12, 7))
df
   idnum lab  y
1    101   C  7
2    101   F 11
3    101   E  4
4    102   B 10
5    102   A  7
6    103   E  6
7    103   D  9
8    103   B  3
9    103   F 12
10   104   C 10
11   104   D  9
12   104   A  5
cast(df, idnum ~ lab, value = 'y')
  idnum  A  B  C  D  E  F
1   101 NA NA  7 NA  4 11
2   102  7 10 NA NA NA NA
3   103 NA  3 NA  9  6 12
4   104  5 NA 10  9 NA NA

Since you have multiple 'invariant' variables, you could use something like

cast(df, . ~ lab, value = 'y')

This would make all variables other than lab the 'rows', the values of lab
as separate 'columns', with the value of the variable y inserted in the
appropriate locations, NA fill otherwise.

cast() is an alternative to the reshape() function in base R.

HTH,
Dennis

On Wed, Jan 12, 2011 at 12:19 PM, Guy Jett <gj...@itsi.com> wrote:

> Hi John,
> Thank you for your patience.  I was away for a State certification exam
> yesterday, so am just getting back to this.
>
> Reading through you response I believe I wasn't clear enough about what I'm
> trying to do.  Your description seems to rearrange the matrix without
> grouping the analytical results for a single sample onto a single line, as I
> had hoped.  I may have confused things by attempting to send a
> truncated/simplified dataset.
>
> Restatement of needs:
> * I have 863 individual samples.  The following columns contain invariant
> results for each sample:
>    -
> "Transect","Offset","Location","fldsampid","CLP_ID","sacode","matrix","LTCCODE",
>        "Northing","Easting","CRDUNITS","Event","LOGDATE","sbd","sed".
>    - Sorting can make use of "fldsampid" as these values are entirely
> unique to
>      each sample.
> * Each sample is associates with one or more of the following 48 analytical
> parameters:
>    -
> AG","AL","ALK","ALKB","ALKC","AS","B","BA","BE","BR","CA","CD""CL","CO","CR","CU",
>
>  
> "DOC","FE","Hg","HG","HGACIDLAB","HGEXTINO","HGEXTORG","HGNONMOB""HGSEMIMOB","K",
>
>  
> "MEHG","MG","MN","MO","NH3N","NI","NO2N","NO3","NO3N","PB""PO4","S","SB","SE","SO4",
>        "SOLID","SSC","TL","TOC","V","Zn","ZN"
>    - These are currently stored in the "PARLABEL" column.
> * For each sample ID I would like to create a single line;
>  - Extract each "PARLABEL" to use as a column name; and
>  - Place the "Result" in the appropriate column.
> * I can subset the data so that "prccode", "Lab", "EXMCODE", "Analysis",
> "PARVQ", "RL",
>  "EPA_FLAGS", and "units" are irrelevant to the issue.
>
> The following snippet should illustrate the absolute minumum needs:
> INPUT
> fldsampid   |  PARLABEL    |  Result
> ------------+--------------+---------
> fldsampid1  |  PARLABEL-a  |  value-8
> fldsampid1  |  PARLABEL-b  |  value-5
> fldsampid1  |  PARLABEL-x  |  value-2
> fldsampid1  |  PARLABEL-y  |  value-0
> fldsampid2  |  PARLABEL-a  |  value-9
> fldsampid2  |  PARLABEL-c  |  value-8
> fldsampid3  |  PARLABEL-a  |  value-2
> fldsampid3  |  PARLABEL-d  |  value-8
> fldsampid3  |  PARLABEL-w  |  value-3
> fldsampid3  |  PARLABEL-x  |  value-9
> fldsampid3  |  PARLABEL-y  |  value-6
>
> OUTPUT
> fldsampid   |  PARLABEL-a  |  PARLABEL-b  |  PARLABEL-w  |  PARLABEL-x  |
>  PARLABEL-y
>
> ------------+--------------+--------------+--------------+--------------+--------------
> fldsampid1  |   value-8    |   value-5    |   NA         |   value-2    |
> value-0
> fldsampid2  |   value-9    |   value-2    |   NA         |   NA         |
> NA
> fldsampid3  |   value-2    |   NA         |   value-3    |   value-9    |
>  value-6
>
> If it would help I could attach a 31kb file written with
>        write.table(Units_NG.L, file="Units_NG.L", quote=FALSE, sep="\t")
> This subset has 97 individual samples and 3 "PARLABELS" distributed across
> 249 individual lines.
>
>
> Added Responses:
> 1. The structure of my actual input file appears to be correct per the
> following:
>   (I has sent you a separate extration from an excel file)
>   (Strings as Factors, numbers as num or int; a date changed via as.Date())
> 'data.frame':   19694 obs. of  25 variables:
>  $ Transect : Factor w/ 78 levels "FLR01","FLR02",..: 1 1 1 1 1 1 1 1 1 1
> ...
>  $ Offset   : Factor w/ 16 levels "0","A","B","C",..: 1 1 1 1 1 1 1 1 1 1
> ...
>  $ Location : Factor w/ 246 levels "FLR010","FLR01A",..: 1 1 1 1 1 1 1 1 1
> 1 ...
>  $ fldsampid: Factor w/ 863 levels "FLR010-ANE1",..: 1 1 1 1 1 1 1 1 1 1
> ...
>  $ CLP_ID   : Factor w/ 586 levels "","MY6591","MY6593",..: 1 1 1 1 1 1 1 1
> 1 1 ...
>  $ sacode   : Factor w/ 2 levels "FD","N": 2 2 2 2 2 2 2 2 2 2 ...
>  $ matrix   : Factor w/ 6 levels "SE","SO","TA",..: 3 3 3 3 3 3 3 3 3 3 ...
>  $ LTCCODE  : Factor w/ 4 levels "BH","LK","RE",..: 4 4 4 4 4 4 4 4 4 4 ...
>  $ Northing : num  2444733 2444733 2444733 2444733 2444733 ...
>  $ Easting  : num  5684613 5684613 5684613 5684613 5684613 ...
>  $ CRDUNITS : Factor w/ 1 level "FT": 1 1 1 1 1 1 1 1 1 1 ...
>  $ Event    : int  1 1 1 1 1 1 1 1 1 1 ...
>  $ LOGDATE  :Class 'Date'  num [1:19694] -717743 -717743 -717743 -717743
> -717743 ...
>  $ sbd      : num  0 0 0 0 0 0 0 0 0 0 ...
>  $ sed      : num  0 0 0 0 0 0 0 0 0 0 ...
>  $ prccode  : Factor w/ 5 levels "INO","MET","MI",..: 2 2 2 2 2 2 2 2 2 2
> ...
>  $ Lab      : Factor w/ 5 levels "A4SW","BRLS",..: 2 2 2 2 2 2 2 2 2 2 ...
>  $ EXMCODE  : Factor w/ 5 levels "FLDFLT","METHOD",..: 2 2 2 2 2 2 2 2 2 2
> ...
>  $ Analysis : Factor w/ 23 levels "A2320","A2540G",..: 10 11 12 12 12 12 12
> 12 12 12 ...
>  $ PARLABEL : Factor w/ 48 levels "AG","AL","ALK",..: 27 20 1 2 6 7 8 9 12
> 14 ...
>  $ PARVQ    : Factor w/ 3 levels "=","ND","TR": 1 1 2 1 1 1 1 2 1 1 ...
>  $ Result   : num  20.6 24.7 5 14900 60 100 4930 4 182 80 ...
>  $ RL       : num  3.1 0.77 10 5750 160 790 160 8 10 80 ...
>  $ EPA_FLAGS: Factor w/ 10 levels "","J","J-","J+",..: 4 1 7 3 2 2 1 7 1 2
> ...
>  $ units    : Factor w/ 3 levels "ug/kg","ug/L",..: 1 1 1 1 1 1 1 1 1 1 ...
>
> 2. "etc..." Sorry to confuse you, this was to indicate additional columns.
>
> Guy Jett
> ITSI,  A Gilbane Company
> (925) 946-3340 Direct
> (925) 457-4168 ITSI Cell
> gj...@itsi.com
>
> -----Original Message-----
> From: John Kane [mailto:jrkrid...@yahoo.ca]
> Sent: Monday, January 10, 2011 4:29 PM
> To: r-help@r-project.org; Guy Jett
> Subject: RE: [R] Help with Data Transformation
>
> That's fine.  Am I correct that this is the format you want for the output
> file?
>
> nams <- c("fldsampid", "CLP_ID", "sacode", "matrix", "etc.", "CL", "PO4",
> "SO4AG", "AL", "AS", "B", "V", "Zn", "etc.", "ALK", "ALKB", "ALKC", "SOLID",
> "DOC", "TOC", "NO3")
>
>
> It seems a bit suspicious as you have etc. in there twice.
>
>
> In any case if I understand what you want all you need to do is arrange
> those names in the order you want and put them in a vector call it bb.
>
> Then you simply say
>
> newxx <- xx[,bb]
> et voilĂ I
>
> You may want to have a look at indexing in the Introduction to R to get a
> feeling for what's happening herel
>
> Below is a small example.
>
> However I don't think your data.frame is quite what you think it is.
>
> When I do str(xx) to look at the structure all your variables are being
> read in as factors, which I suspect is not what you want.  R tries to
> recognize what type of variable is being read in and often seems to decide a
> character or even a numeric variable is a factor
>
> You may want to run the command
> options(stringsAsFactors = FALSE)
> before you load the data into the data.frame
>
> I hope this is of some help.
> #===================================================================
> df1 <- structure(list(site = c(1, 1, 4, 4, 1, 4), id = structure(c(1L, 2L,
> 2L, 3L, 1L, 2L), .Label = c("a", "b", "c"), class = "factor"),
>    cata = c(1, 1, 6, 1, 1, NA), catb = c(1, 2, 3, 4, 5, 6),
>    doga = c(3, 5, 3, 6, 4, 0), dogb = c(2, 4, 6, 8, 10, 12),
>    rata = c(NA, 9, 9, 8, 9, 8), ratb = c(1, 2, 3, 4, 5, 6),
>    bata = c(12, 42, NA, 45, 32, 54), batb = c(13, 15, 17, 19,
>    21, 23)), .Names = c("site", "id", "cata", "catb", "doga", "dogb",
> "rata", "ratb", "bata", "batb"), row.names = c("aa", "bb", "cc", "dd", "ee",
> "ff"), class = "data.frame")
>
> df1
>
> bb <- c("dogb", "rata", "ratb", "bata", "batb", "site", "id", "cata",
>    "catb", "doga")
>
>    newdf <- df1[,bb]
>
>
> #==================================================================
>
> --- On Mon, 1/10/11, Guy Jett <gj...@itsi.com> wrote:
>
> > From: Guy Jett <gj...@itsi.com>
> > Subject: RE: [R] Help with Data Transformation
> > To: "John Kane" <jrkrid...@yahoo.ca>, "r-help@r-project.org"
> > <r-help@r-project.org>
> > Received: Monday, January 10, 2011, 5:20 PM Thank you John, I have put
> > a copy of the dput file below my signature block.  I hope that is what
> > you need as I am unfamiliar with that function.  Note that empty cells
> > need to become "NA".
> > The "=" character is part of the "PARVALUE" column.
> > Yours,
> > Guy
> > gj...@itsi.com
> >
> > structure(list(X = c(2268L, 2269L, 2270L, 2272L, 2273L, 2274L, 2275L,
> > 2276L, 2289L, 2290L, 2291L, 2292L, 2293L, 2294L, 2295L, 2296L, 2326L,
> > 2327L, 2328L, 2329L, 2330L, 2331L, 2332L, 2346L, 2349L, NA, NA, NA,
> > NA, NA), fldsampid = structure(c(3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
> > 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 1L,
> > 1L, 2L, 3L, 4L), .Label = c("", "fldsampid", "LHR020GW-01E2",
> > "LHR020SD-00E2"), class = "factor"), CLP_ID = structure(c(1L, 1L, 1L,
> > 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L,
> > 3L, 3L, 3L, 3L, 3L, 1L, 1L, 2L, 1L, 3L), .Label = c("", "CLP_ID",
> > "MY77J8"), class = "factor"), sacode = structure(c(2L, 2L, 2L, 2L, 2L,
> > 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
> > 2L, 2L, 2L, 1L, 1L, 3L, 2L, 2L), .Label = c("", "N", "sacode"), class
> > = "factor"), matrix = structure(c(4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
> > 4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 1L,
> > 1L, 2L, 4L, 3L), .Label = c("", "matrix", "SE", "WG"), class =
> > "factor"), etc. = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
> > 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
> > 2L, 1L, 1L), .Label = c("", "etc."), class = "factor"), prccode =
> > structure(c(4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L,
> > 7L, 8L, 5L, 6L, 7L, 5L, 5L, 5L, 5L, 5L, 6L, 1L, 1L, 3L, 2L, NA),
> > .Label = c("", "<value>", "CL", "INO", "MET", "MI", "ORG", "SN"),
> > class = "factor"), Lab = structure(c(4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
> > 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 3L, 3L, 3L, 3L,
> > 1L, 1L, 5L, 2L, NA), .Label = c("", "<value>", "A4SW", "BRLS", "PO4"),
> > class = "factor"), EXMCODE = structure(c(5L, 5L, 5L, 3L, 3L, 3L, 3L,
> > 3L, 3L, 3L, 4L, 5L, 5L, 5L, 5L, 5L, 4L, 4L, 5L, 4L, 4L, 4L, 4L, 7L,
> > 4L, 1L, 1L, 6L, 2L, NA), .Label = c("", "<value>", "FLDFLT", "METHOD",
> > "NONE", "SO4", "SW3050B"), class = "factor"),
> >     Analysis = structure(c(13L, 13L, 13L, 10L, 11L, 11L, 11L,
> >     11L, 11L, 11L, 11L, 3L, 3L, 3L, 5L, 13L, 9L, 8L, 15L, 7L,
> >     12L, 12L, 12L, 14L, 4L, 1L, 1L, 6L, 2L, 2L), .Label = c("",
> >     "<value>", "A2320", "A2540G", "A5310B", "AG", "C245.5", "E160.3",
> >     "E1630", "E1631", "E1638", "E200.8", "E300", "SW6010B", "SW9060"
> >     ), class = "factor"), PARLABEL =
> > structure(c(10L, 16L, 17L,
> >     12L, 3L, 4L, 8L, 9L, 20L, 21L, 15L, 5L, 6L, 7L, 11L, 14L,
> >     13L, 18L, 19L, 12L, 3L, 8L, 9L, 20L, 18L, 1L, 1L, 4L, 2L,
> >     2L), .Label = c("", "<value>", "AG", "AL", "ALK", "ALKB",
> >     "ALKC", "AS", "B", "CL", "DOC", "HG", "MEHG", "NO3", "PB",
> >     "PO4", "SO4", "SOLID", "TOC", "V", "Zn"), class = "factor"),
> >     PARVQ = structure(c(3L, 5L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
> >     5L, 3L, 3L, 5L, 3L, 3L, 3L, 3L, 3L, 3L, 5L, 3L, 3L, 3L, 3L,
> >     1L, 1L, 4L, 2L, 2L), .Label = c("", "<value>", "=", "AS",
> >     "ND"), class = "factor"), Result = structure(c(12L, 20L,
> >     11L, 3L, 10L, 8L, 14L, 26L, 9L, 5L, 4L, 25L, 25L, 13L, 19L,
> >     24L, 15L, 18L, 16L, 21L, 6L, 22L, 7L, 23L, 17L, 1L, 1L, 27L,
> >     2L, 2L), .Label = c("", "<value>", "0.00171", "0.008", "1.76",
> >     "1050", "11400", "122", "131", "2.57", "22460", "23590.9",
> >     "2500", "317", "4.28", "4.823", "47.7", "48.45", "49330",
> >     "50", "5100", "5500", "56900", "792", "807000", "9970", "B"
> >     ), class = "factor"), X.1 = structure(c(1L, 1L, 1L, 1L, 1L,
> >     1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
> >     1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, 2L), .Label = c("", "<value>",
> >     "V"), class = "factor"), X.2 =
> > structure(c(1L, 1L, 1L, 1L,
> >     1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
> >     1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, NA), .Label = c("",
> >     "<value>", "Zn"), class = "factor"),
> > X.3 = structure(c(1L,
> >     1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
> >     1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, 2L), .Label =
> > c("",
> >     "<value>", "etc."), class = "factor"),
> > X.4 = structure(c(1L,
> >     1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
> >     1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, NA), .Label =
> > c("",
> >     "<value>", "ALK"), class = "factor"),
> > X.5 = structure(c(1L,
> >     1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
> >     1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, NA), .Label =
> > c("",
> >     "<value>", "ALKB"), class = "factor"),
> > X.6 = structure(c(1L,
> >     1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
> >     1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, NA), .Label =
> > c("",
> >     "<value>", "ALKC"), class = "factor"),
> > X.7 = structure(c(1L,
> >     1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
> >     1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, 2L), .Label =
> > c("",
> >     "<value>", "SOLID"), class = "factor"),
> > X.8 = structure(c(1L,
> >     1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
> >     1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, NA), .Label =
> > c("",
> >     "<value>", "DOC"), class = "factor"),
> > X.9 = structure(c(1L,
> >     1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
> >     1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, NA), .Label =
> > c("",
> >     "<value>", "TOC"), class = "factor"),
> > X.10 = structure(c(1L,
> >     1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
> >     1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, NA), .Label =
> > c("",
> >     "<value>", "NO3"), class = "factor")), .Names = c("X",
> > "fldsampid", "CLP_ID", "sacode", "matrix", "etc.", "prccode", "Lab",
> > "EXMCODE", "Analysis", "PARLABEL", "PARVQ", "Result", "X.1", "X.2",
> > "X.3", "X.4", "X.5", "X.6", "X.7", "X.8", "X.9", "X.10"), class =
> > "data.frame", row.names = c(NA,
> > -30L))
> >
> >
> > -----Original Message-----
> > From: John Kane [mailto:jrkrid...@yahoo.ca]
> >
> > Sent: Monday, January 10, 2011 1:43 PM
> > To: r-help@r-project.org;
> > Guy Jett
> > Subject: Re: [R] Help with Data Transformation
> >
> > That sample data set is really hard to read.  Could you resent it
> > after having used dput on it?
> >
> > A file output with dput is easily read into R and makes seeing what
> > you need much easier.  BTW what are the = doing?
> >
> > Thanks
> >
> >
> >
> > --- On Mon, 1/10/11, Guy Jett <gj...@itsi.com>
> > wrote:
> >
> > > From: Guy Jett <gj...@itsi.com>
> > > Subject: [R] Help with Data Transformation
> > > To: "r-help@r-project.org"
> > <r-help@r-project.org>
> > > Received: Monday, January 10, 2011, 3:59 PM Greetings,
> > I am new to R
> > > and am having trouble with parsing a file with the
> > following
> > > characteristics:
> > >
> > > *         Individual results
> > > for a single sample are written to multiple lines.
> > >
> > > *         First 16 columns
> > > are constant from sample to sample.
> > >
> > > *         Remaining 10 need
> > > to be matched up (cross-tabbed?)
> > >
> > > o   (the exact contents for the remaining 10 vary
> > from sample to
> > > sample, as indicated in the extract
> > > below)
> > >
> > > *         Ultimate goal is to
> > > run various comparisons between the variable columns,
> > compare samples
> > > from separate populations, and graph samples from the
> > separate
> > > populations.
> > >
> > > *         (An extract is
> > > provided below)
> > >
> > > The data is initially extracted from an SQL database
> > into Excel, then
> > > saved as a tab-delimited text file for use in R.
> > > I have been successful in using subset() to extract
> > specific sample
> > > types, but have not yet been able to transform the
> > data so that all
> > > the data needed is on a single line.  I have looked
> > at several R
> > > manuals, read through 'R in a Nutshell', prowled the
> > help resources (R
> > > Site Search and the Google link), tried stack(),
> > subset(), reshape(),
> > > and several other functions, to no avail.
> > >
> > > Thank you very much for your help.  This seems like a
> > wonderful
> > > community, Guy Jett, R.G.
> > > Project Geologist
> > > gj...@itsi.com<mailto:gj...@itsi.com>
> > >
> > > Example Data Input (subset):
> > >
> > > fldsampid
> > > CLP_ID  sacode
> > > matrix   etc...
> > > prccode
> > >   Lab
> > >    EXMCODE
> > >    Analysis
> > >       PARLABEL
> > >         PARVQ Result
> > > 2268       LHR020GW-01E2
> > >
> > >              N
> > >            WG
> > >
> > >       INO
> > > BRLS      NONE    E300
> > >    CL
> > >    =
> > >    23590.9
> > > 2269       LHR020GW-01E2
> > >
> > >              N
> > >            WG
> > >
> > >       INO
> > > BRLS      NONE    E300
> > >    PO4        ND
> > >         50
> > > 2270       LHR020GW-01E2
> > >
> > >              N
> > >            WG
> > >
> > >       INO
> > > BRLS      NONE    E300
> > >    SO4        =
> > >            22460
> > > 2272       LHR020GW-01E2
> > >
> > >              N
> > >            WG
> > >
> > >       MET
> > >    BRLS      FLDFLT
> > > E1631    HG
> > > =
> > >    0.00171
> > > 2273       LHR020GW-01E2
> > >
> > >              N
> > >            WG
> > >
> > >       MET
> > >    BRLS      FLDFLT
> > > E1638    AG
> > > =             2.57
> > > 2274       LHR020GW-01E2
> > >
> > >              N
> > >            WG
> > >
> > >       MET
> > >    BRLS      FLDFLT
> > > E1638    AL
> > >    =
> > >    122
> > > 2275       LHR020GW-01E2
> > >
> > >              N
> > >            WG
> > >
> > >       MET
> > >    BRLS      FLDFLT
> > > E1638    AS
> > >    =
> > >    317
> > > 2276       LHR020GW-01E2
> > >
> > >              N
> > >            WG
> > >
> > >       MET
> > >    BRLS      FLDFLT
> > > E1638    B
> > >    =
> > >    9970
> > > 2289       LHR020GW-01E2
> > >
> > >              N
> > >            WG
> > >
> > >       MET
> > >    BRLS      FLDFLT
> > > E1638    V
> > >    =
> > >    131
> > > 2290       LHR020GW-01E2
> > >
> > >              N
> > >            WG
> > >
> > >       MET
> > >    BRLS      FLDFLT
> > > E1638    Zn
> > >    =
> > >    1.76
> > > 2291       LHR020GW-01E2
> > >
> > >              N
> > >            WG
> > >
> > >       MET
> > >    BRLS      METHOD
> > >             E1638
> > > PB           ND
> > >               0.008
> > > 2292       LHR020GW-01E2
> > >
> > >              N
> > >            WG
> > >
> > >       MI
> > > BRLS      NONE    A2320
> > >   ALK        =
> > >        807000
> > > 2293       LHR020GW-01E2
> > >
> > >              N
> > >            WG
> > >
> > >       MI
> > > BRLS      NONE    A2320
> > >   ALKB      =
> > >      807000
> > > 2294       LHR020GW-01E2
> > >
> > >              N
> > >            WG
> > >
> > >       MI
> > > BRLS      NONE    A2320
> > >   ALKC      ND
> > >     2500
> > > 2295       LHR020GW-01E2
> > >
> > >              N
> > >            WG
> > >
> > >       ORG
> > >    BRLS      NONE
> > > A5310B DOC       =
> > >          49330
> > > 2296       LHR020GW-01E2
> > >
> > >              N
> > >            WG
> > >
> > >       SN
> > > BRLS      NONE    E300
> > >    NO3       =
> > >            792
> > > 2326       LHR020SD-00E2
> > >
> > >    N
> > >    SE
> > >
> > >    MET
> > >    BRLS      METHOD
> > >             E1630
> > > MEHG   =
> > >    4.28
> > > 2327       LHR020SD-00E2
> > >
> > >    N
> > >    SE
> > >
> > >    MI
> > > BRLS      METHOD
> > >       E160.3   SOLID
> > >   =
> > >    48.45
> > > 2328       LHR020SD-00E2
> > >
> > >    N
> > >    SE
> > >
> > >    ORG
> > >    BRLS      NONE
> > > SW9060
> > >   TOC        =
> > >        4.823
> > > 2329       LHR020SD-00E2 MY77J8
> > > N
> > >    SE
> > >
> > >    MET
> > >    A4SW    METHOD
> > >
> > > C245.5   HG
> > > =             5100
> > > 2330       LHR020SD-00E2 MY77J8
> > > N
> > >    SE
> > >
> > >    MET
> > >    A4SW    METHOD
> > >
> > > E200.8   AG
> > > ND          1050
> > > 2331       LHR020SD-00E2 MY77J8
> > > N
> > >    SE
> > >
> > >    MET
> > >    A4SW    METHOD
> > >
> > > E200.8   AS
> > >    =
> > >    5500
> > > 2332       LHR020SD-00E2 MY77J8
> > > N
> > >    SE
> > >
> > >    MET
> > >    A4SW    METHOD
> > >
> > > E200.8   B
> > >    =
> > >    11400
> > > 2346       LHR020SD-00E2 MY77J8
> > > N
> > >    SE
> > >
> > >    MET
> > >    A4SW    SW3050B
> > >          SW6010B
> > >          V
> > >        =
> > >         56900
> > > 2349       LHR020SD-00E2 MY77J8
> > > N
> > >    SE
> > >
> > >    MI
> > > A4SW    METHOD
> > >     A2540G
> > >       SOLID    =
> > >          47.7
> > >
> > > Desired output:
> > >
> > > fldsampid
> > > CLP_ID  sacode
> > > matrix   etc...      CL
> > >          PO4
> > >     SO4        AG
> > >       AL
> > >    AS
> > >    B
> > >    V
> > >    Zn
> > >       etc...      ALK
> > >       ALKB      ALKC
> > >     SOLID    DOC
> > >    TOC        NO3
> > >
> > > LHR020GW-01E2
> > >
> > >    N
> > >    WG
> > >
> > > <value>
> > >     <value>
> > >         <value>
> > >
> > > <value>
> > >     <value>
> > >         <value>
> > >
> > > <value>
> > >     <value>
> > >         <value>
> > >
> > > <value>
> > >     <value>
> > >         <value>
> > >
> > > <value>
> > >     <value>
> > >         <value>
> > >
> > > <value>
> > >     <value>
> > >
> > > LHR020SD-00E2 MY77J8 N
> > >    SE
> > >
> > >    NA
> > > NA          NA
> > >     <value>
> > >         <value>
> > >
> > > <value>
> > >     <value>
> > >         <value>
> > >             NA
> > >       <value>
> > >           NA
> > >     NA          NA
> > >         <value>
> > >             NA
> > >       NA
> > > NA
> > >
> > >     [[alternative HTML version deleted]]
> > >
> > > ______________________________________________
> > > R-help@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.
> > >
> >
> >
> >
>
> ______________________________________________
> R-help@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.
>

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