Hi Dennis,
SOLVED!!!
My thanks to both you, John, and others who chimed in. Took a little more digging before finally working, but it is working!
Here's a little more of what I did and the ultimate resolutions:
I installed the reshape2 library from CRAN.
Executed
> (.packages())
[1] "reshape2" "stats" "graphics" "grDevices" "datasets" "rcom" "rscproxy" "utils" "methods" "base"
confirming presence.
Executed your toy script (stepwise so as not to include the output as input)
Received the following result at the end:
> cast(df, idnum ~ lab, value = 'y')
Error: could not find function "cast"
The Package 'reshape2' documentation indicates that either acast() or dcast() are used, not giving an example of cast() itself.
I resolved this by trying both acast() and dcast(). Both yielded the same screen results.
Turning to my own data I was able to successfully execute the operation on one of my subsets AFTER, cleaning up some results with duplicates "PARLABELS". (throws the resulting matrix into a count of values but the docs give an indication of the resolution). So it looks like I'm on my way after some further data clean-up.
I am using dcast() as I wish to stay 2-dimensional (personal limitations on brain()).
Cheers and thanks again to all,
Guy
ITSI, A Gilbane Company
(925) 946-3340 Direct
(925) 457-4168 ITSI Cell
gjett@itsi.com
From: Dennis Murphy [mailto:djmuser@gmail.com]
Sent: Wednesday, January 12, 2011 1:19 PM
To: Guy Jett
Cc: r-help@r-project.org
Subject: Re: [R] Help with Data Transformation
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 > 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
gjett@itsi.com
-----Original Message-----
From: John Kane [mailto:jrkrideau@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 voilàI
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 > wrote:
> From: Guy Jett >
> Subject: RE: [R] Help with Data Transformation
> To: "John Kane" >, "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
> gjett@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("", "", "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("", "", "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("", "", "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("",
> "", "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("", "", "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("", "", "=", "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("", "", "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("", "",
> "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("",
> "", "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("",
> "", "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("",
> "", "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("",
> "", "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("",
> "", "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("",
> "", "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("",
> "", "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("",
> "", "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("",
> "", "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:jrkrideau@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 >
> wrote:
>
> > From: Guy Jett >
> > Subject: [R] Help with Data Transformation
> > To: "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
> > gjett@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
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> > LHR020SD-00E2 MY77J8 N
> > SE
> >
> > NA
> > NA NA
> >
> >
> >
> >
> >
> >
> > NA
> >
> > NA
> > NA NA
> >
> > 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.
[[alternative HTML version deleted]]