Thank you, but it doesn't quite. It still needs a new column for each
measurement type,
i.e., a VWC column that contains the VWC measurements for each subject within
group at each time point and a Tair column that contains the
Tair measurements for each subject within group at each time point.
Toby
---- On Wed, 20 Jun 2012 09:25:08 -0700 jim holtman wrote ----
>will this do it for you:
>
>
>> require(reshape2)
>> toy <- data.frame(year = rep(2007:2008,each = 20), month = rep(1:5,each = 4,
>> length = 40),
>+ day = rep(1:2,each = 2,length = 40), hhmm = rep(1100:1101,length =
>40), plot = rep(1,40),
>+ trt=rep(4,40), VWC.B1 = rnorm(40), VWC.B2 = rnorm(40), VWC.T1 = rnorm(40),
>+ VWC.T2 = rnorm(40), VWC.T10 = rnorm(40), Tair.B1 = rnorm(40),Tair.B2
>= rnorm(40),
>+ Tair.T1 = rnorm(40), Tair.T2 = rnorm(40))
>>
>> x <- melt(toy, id = c('year', 'month', 'day', 'hhmm', 'plot', 'trt'))
>>
>> # parse the type, group and number
>> x$type <- sub("\..*$", "", x$variable)
>> x$group <- sub(".*\.(.).*", "\1", x$variable)
>> x$number <- sub(".*\..", "", x$variable)
>>
>> head(x)
> year month day hhmm plot trt variable value type group number
>1 2007 1 1 1100 1 4 VWC.B1 0.35680152 VWC B 1
>2 2007 1 1 1101 1 4 VWC.B1 -0.01787670 VWC B 1
>3 2007 1 2 1100 1 4 VWC.B1 -0.07361414 VWC B 1
>4 2007 1 2 1101 1 4 VWC.B1 0.90117558 VWC B 1
>5 2007 2 1 1100 1 4 VWC.B1 0.64824677 VWC B 1
>6 2007 2 1 1101 1 4 VWC.B1 0.26769079 VWC B 1
>>
>
>
>On Wed, Jun 20, 2012 at 12:08 PM, nrm2010 wrote:
>> Hello, helpeRs,
>>
>> I am attempting to reshape (either base R or package reshape) multiple .csv
>> spreadsheets from a very unfortunate wide format to long format. Each
>> spreadsheet
>> looks something like this, after being read in to R:
>>
>> toy <- data.frame(year = rep(2007:2008,each = 20), month = rep(1:5,each = 4,
>> length = 40),
>> day = rep(1:2,each = 2,length = 40), hhmm = rep(1100:1101,length = 40), plot
>> = rep(1,40),
>> trt=rep(4,40), VWC.B1 = rnorm(40), VWC.B2 = rnorm(40), VWC.T1 = rnorm(40),
>> VWC.T2 = rnorm(40), VWC.T10 = rnorm(40), Tair.B1 = rnorm(40),Tair.B2 =
>> rnorm(40),
>> Tair.T1 = rnorm(40), Tair.T2 = rnorm(40))
>>
>> Taken together, the columns year, month, day, and hhmm define a timepoint
>> at which at a measurement was taken. Plot and treatment do not change
>> within
>> any one spreadsheet. Parsing the column names, VWC and Tair are 2 different
>> types of measurements; in the full dataset, there are more than 2 types of
>> measurements. The B and T in the column names are grouping variables. The
>> numbers following the B or T are subjects within groups. So, if a column
>> name
>> is VWC.B1, it is the VWC measurement taken on subject 1 within group B.
>>
>> I am trying to reshape to long format. The long format should have one new
>> column
>> for each measurement type (VWC and Tair in the toy example), a new column
>> indicating the grouping variable (B or T), and a new column identifyng the
>> subject (the number that follow the B or T). I've been unable to come up
>> with
>> a solution that produces the group and subject within group columns as well
>> as both types of measurements.
>>
>> Any assistance would be greatly appreciated.
>>
>> Thank you.
>>
>> Toby
>>
>> Toby Gass, Ph.D.
>> Visiting Lecturer, Forestry and Wildland Resources
>> Humboldt State University
>> email: toby.gass humboldt edu
>>
>> ______________________________________________
>> 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.
>
>
>
>--
>Jim Holtman
>Data Munger Guru
>
>What is the problem that you are trying to solve?
>Tell me what you want to do, not how you want to do it.
>
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