> On Dec 4, 2016, at 4:43 AM, Maximilian Eckert <maximilian.ecker...@gmail.com>
> wrote:
>
> Dear Sir oder Madam,
>
>
>
> I am currently writing my master thesis and I am struggling with R:
>
>
>
> I have created an empty matrix (M) which has months as row.names and stocks
> as column.names and now I want to fill this matrix with values from another
> matrix (T). The matrix T has also months as row.names and stocks as
> column.names however here I have several values for each month. Now I want
> to count the values which have values bigger or equal to zero (plus 1) and
> add them to my matrix M:
>
>
>
> If I do it manually it would look like:
>
>
>
> M[,1] <- t(array((colSums(T[1:22,] > 0))+1)) #here in Matrix T I have 22
> values for the month January
22 rows
>
> M[,2] <- t(array((colSums(T[23:53,] > 0))+1)) #here in Matrix T I have 30
> values for the monh February
>
31 rows were indexed.
How are these rows labelled? What does rownames(M) produce?
>
>
> Is there a way to do this without a loop as I have a very large data set? I
> tried to merge it however it did not work:
>
>
>
> merge.default(as.data.frame(M), as.data.frame(T), by = "row.names",
> function(x){colSums(T[,]>0)+1})
>
>
If you want code, then you need to provide enough (accurate) information to
support such an effort. If this data is n a matrix then duplicate rownames are
allow, but if it is a dataframe or if coerced to a data.frame than duplicates
are not allowed.
>
> Thank you very much,
>
>
>
> Max
>
>
> [[alternative HTML version deleted]]
>
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David Winsemius
Alameda, CA, USA
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