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.gos...@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 <tan...@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.gos...@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 <tan...@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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