[R] about transforming a data.frame

[Sarah Goslee]

I'm still not really clear on what you need (format, etc), but this
may help you get started:

> with(df, table(CT, row_names))
   row_names
CT  A1:A2:A3 B10:B11:B12 B4:B5:B6 B7:B8:B9 D10:D11:D12 D4:D5:D6 E10:E11:E12
  2        0           0        0        1           2        1           1
  4        1           1        0        0           0        0           0
  5        0           0        1        0           0        0           0
> with(df, table(CT, col_names))
   col_names
CT  B1:B2:B3 D1:D2:D3 F10:F11:F12 G7:G8:G9 H1:H2:H3 H4:H5:H6
  2        1        0           1        1        1        1
  4        1        1           0        0        0        0
  5        1        0           0        0        0        0
>

On Fri, May 29, 2015 at 4:58 PM, Bogdan Tanasa <tanasa at gmail.com> wrote:
> 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
>> >