[R] about transforming a data.frame

[Bogdan Tanasa]

thanks a lot Sarah, very much appreciate it !

On Fri, May 29, 2015 at 3:18 PM, Sarah Goslee <sarah.goslee at gmail.com>
wrote:

> LMGTFY:
> http://stackoverflow.com/questions/11433432/importing-multiple-csv-files-into-r
>
> On Fri, May 29, 2015 at 5:58 PM, Bogdan Tanasa <tanasa at gmail.com> wrote:
> > Dear Sarah,
> >
> > thank you very much, it is very helpful. please may I ask one more
> question
> > about a quick and easy tutorial about the loading multiple files (from a
> > folder) in R, and processing one file at a time ?  thanks very much
> again,
> >
> > bogdan
> >
> > On Fri, May 29, 2015 at 2:55 PM, Sarah Goslee <sarah.goslee at gmail.com>
> > wrote:
> >>
> >> 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
> >> >> >
> >
> >
>

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