[R] about transforming a data.frame
Bogdan Tanasa
tanasa at gmail.com
Fri May 29 23:16:47 CEST 2015
Hi John,
thanks for clarifications, yes, of course, the dput() output is the
following :
dput(dataframe_matches_ddCT)
structure(list(FIGURE = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label
= "test", class = "factor"), ddCT = c(-5.4595, -2.7467,
-2.7467, -2.7467, -2.7467, -2.7467, -4.5927, -4.5927), row_names =
structure(c(1L, 2L, 3L, 4L, 4L, 5L, 6L, 7L), .Label = c("B4:B5:B6",
"B7:B8:B9", "D4:D5:D6", "D10:D11:D12", "E10:E11:E12", "A1:A2:A3",
"B10:B11:B12"
), class = "factor"), col_names = structure(c(1L, 1L, 2L, 3L, 4L, 5L, 6L,
1L), .Label = c("B1:B2:B3", "H4:H5:H6", "F10:F11:F12",
"H1:H2:H3", "G7:G8:G9", "D1:D2:D3"), class = "factor"),
CTaverage_MATRIX_SUBSTRACTIONS = c(-5.4595413208,
-2.74678293866667, -2.74099286393334, -2.74331347146666, -2.74805959066667,
-2.755259196, -4.59402211506667, -4.5927206675)), .Names = c("FIGURE",
"ddCT", "row_names", "col_names", "CTaverage_MATRIX_SUBSTRACTIONS"
), row.names = c(NA, 8L), class = "data.frame")
thanks again for your input,
-- bogdan
On Fri, May 29, 2015 at 2:11 PM, John Kane <jrkrideau at inbox.com> wrote:
> Bogdan, the request was for data in dput() format.
>
> Type ?dput for more information.
>
> Do dput(myfile) copy the ouput and paste into the email
>
> You should get something like:
> structure(list(c1 = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L,
> 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L, 5L, 5L,
> 5L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L,
> 8L, 8L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L), .Label = c("(0.509,0.614]",
> "(0.614,0.718]", "(0.718,0.822]", "(0.822,0.926]", "(0.926,1.03]",
> "(1.03,1.13]", "(1.13,1.24]", "(1.24,1.34]", "(1.34,1.45]", "(1.45,1.55]"
> ), class = "factor"), s1 = c(0.51, 0.52, 0.58, 0.58, 0.59, 0.6,
> 0.63, 0.65, 0.68, 0.74, 0.74, 0.75, 0.77, 0.77, 0.77, 0.78, 0.79,
> 0.84, 0.84, 0.85, 0.87, 0.93, 0.93, 0.95, 0.99, 1.04, 1.09, 1.11,
> 1.13, 1.14, 1.14, 1.14, 1.17, 1.18, 1.19, 1.22, 1.22, 1.23, 1.28,
> 1.29, 1.3, 1.32, 1.37, 1.38, 1.38, 1.4, 1.43, 1.47, 1.52, 1.55
> )), .Names = c("c1", "s1"), row.names = c(NA, -50L), class = "data.frame")
>
> Data in duput() format is the preferred way to get data in R-help since it
> provides a perfect copy of what you have on your machine. Any other way of
> providing data risks the recipients reading it into R differently than it
> is on your machine.
>
> John Kane
> Kingston ON Canada
>
>
> > -----Original Message-----
> > From: tanasa at gmail.com
> > Sent: Fri, 29 May 2015 13:58:20 -0700
> > To: sarah.goslee at gmail.com
> > Subject: Re: [R] about transforming a data.frame
> >
> > Hi Sarah,
> >
> > thank you for your help. I have simplified the example, by reading the
> > elements in a data frame, eg :
> >
> > df <- data.frame (row_names = c("B4:B5:B6", "B7:B8:B9", "D4:D5:D6",
> > "D10:D11:D12", "D10:D11:D12", "E10:E11:E12", "A1:A2:A3", "B10:B11:B12"),
> > col_names = c
> >
> ("B1:B2:B3","B1:B2:B3","H4:H5:H6","F10:F11:F12","H1:H2:H3","G7:G8:G9","D1:D2:D3","B1:B2:B3"),
> > CT = c(5,2,2,2,2,2,4,4) )
> >
> > I have used the the count() in the plyr package :
> >
> > count_row_names <- count(df$row_names)
> > count_col_names <- count(df$col_names)
> >
> > however, I would need to correlate these UNIQUE ELEMENTS in the columns
> > "row_names" or "col_names" with the numbers they associate in the CT
> > columns, eg :
> >
> > ""B1:B2:B3" associate with "5, 2, 4" (in CT column), or "D10:D11:D12"
> > associate with "2" (in the CT column).
> >
> > thank you very much,
> >
> > bogdan
> >
> >
> >
> >
> > On Fri, May 29, 2015 at 1:32 PM, Sarah Goslee <sarah.goslee at gmail.com>
> > wrote:
> >
> >> Hi,
> >>
> >> Please use dput() to provide your data, as it can get somewhat mangled
> >> by copy and pasting, especially if you post in HTML (as you are asked
> >> not to do in the posting guide).
> >>
> >> What is a unique element? is "B4:B5:B6" an element, or are "B4" and
> >> "B5" each elements? That is, what is the result you expect to obtain
> >> for the sample data you provided?
> >>
> >> What code have you tried? I would think table() might be involved, and
> >> possibly strsplit(), but will refrain from putting more time into this
> >> until you provide a reproducible dataset with dput() and some clearer
> >> idea of your intent.
> >>
> >> Sarah
> >>
> >> On Fri, May 29, 2015 at 4:19 PM, Bogdan Tanasa <tanasa at gmail.com>
> wrote:
> >>> Dear all,
> >>>
> >>> I would appreciate a suggestion on the following : I am working with a
> >>> data.frame (below) :
> >>>
> >>> EXP CT row_names col_names
> >>> 1 test -5 B4:B5:B6 B1:B2:B3
> >>> 2 test -2 B7:B8:B9 B1:B2:B3
> >>> 3 test -2 D4:D5:D6 H4:H5:H6
> >>> 4 test -2 D10:D11:D12 F10:F11:F12
> >>> 5 test -2 D10:D11:D12 H1:H2:H3
> >>> 6 test -2 E10:E11:E12 G7:G8:G9
> >>> 7 test -4 A1:A2:A3 D1:D2:D3
> >>> 8 test -4 B10:B11:B12 B1:B2:B3
> >>>
> >>> what would be the easiest way to consider UNIQUE elements in the
> >> ROW_NAMES
> >>> or the UNIQUE elements in the COL_NAMES and :
> >>>
> >>> print how many times these UNIQUE ELEMENTS associate with the numbers
> >>> -5,
> >>> -2, or -4 (these numbers are on the column names CT) ..
> >>>
> >>> thanks,
> >>>
> >>> bogdan
> >>>
> >> --
> >> Sarah Goslee
> >> http://www.functionaldiversity.org
> >>
> >
> > [[alternative HTML version deleted]]
> >
> > ______________________________________________
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> > 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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