Reputation: 23
I'm working on an excel-file consisting of a 261 x 10 matrix. The matrix consists of the weekly returns of 10 stocks from 2010 to 2015. So, I have 10 variables (stocks) and 261 observations (weekly returns) for each variable. For my master thesis I have to apply a "rearrangement algorithm" developed by Rüschendorf and Puccetti (2012) on my matrix. I'm not going into further details on the theorical side of that concept. The thing is that I downloaded a package capable of performing the rearrangement algorithm in R. I tested it out and it works perfectly.
Actually the only thing I need to know is how to import my excel-matrix into R in order to be capable of performing the rearrangement algorithm on it. I can rewrite my matrix into R (manually) just by encoding every element of the matrix by using the matrix programming formula in R:
A = matrix( c(), nrow= , ncol= , byrow=TRUE)
The problem is that doing so for such a big matrix (261 x 10) would be very time consuming. Is their any way to import my excel-matrix in R and that R recognizes it as matrix consisting of numerical values ready for calculations (similar to the case of doing it manually) ? In such a way that I just have to run the "rearrangement algorithm" function provided in R.
Thanks in advance.
Upvotes: 1
Views: 780
Reputation: 263352
I make a selection within an opened Excel sheet and copied to the clipboard. This then worked on a Mac:
> con=pipe("pbpaste")
> dat <- data.matrix( read.table(con) )
> dat
V1 V2 V3
[1,] 1 1 1
[2,] 2 2 2
[3,] 3 3 3
[4,] 4 4 4
[5,] 5 5 5
[6,] 6 6 6
[7,] 7 7 7
[8,] 8 8 8
[9,] 9 9 9
[10,] 10 10 10
[11,] 11 11 11
[12,] 12 12 12
[13,] 13 13 13
[14,] 14 14 14
The method is somewhat different on Windows devices but the help page for ?connections
should have your OS-specific techniques.
Upvotes: 1
Reputation: 10223
You didn't provide a minimal reproducible example, so the answers are probably gonna of lesser quality. Anyway, you should be able to load the the excel file with something like:
require(XLConnect)
wrkbk <- loadWorkbook("path/to/your/data.xlsx")
df <- readWorksheet(wrkbk, sheet = 1, header = TRUE)
And then convert the data.frame
to a matrix
via
ans <- as.matrix(df)
Otherwise, you need to save your file as a .txt
or .csv
plain-text file and use read.table
or read.csv
and the like. Consult their respective help pages.
Upvotes: 0