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: [email protected]
> Sent: Fri, 29 May 2015 13:58:20 -0700
> To: [email protected]
> 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 <[email protected]>
> 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 <[email protected]> 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]]
>
> ______________________________________________
> [email protected] mailing list -- To UNSUBSCRIBE and more, see
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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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