Description Usage Arguments Value Note See Also Examples
View source: R/xSparseMatrix.r
xSparseMatrix
is supposed to create a sparse matrix for an input
file with three columns.
1 | xSparseMatrix(input.file, rows = NULL, columns = NULL, verbose = T)
|
input.file |
an input file containing three columns: 1st column for rows, 2nd for columns, and 3rd for numeric values. Alternatively, the input.file can be a matrix or data frame, assuming that input file has been read. Note: the file should use the tab delimiter as the field separator between columns |
rows |
a vector specifying row names. By default, it is NULL |
columns |
a vector specifying column names. By default, it is NULL |
verbose |
logical to indicate whether the messages will be displayed in the screen. By default, it sets to TRUE for display |
an object of the dgCMatrix class (a sparse matrix)
If rows (or columns) are not NULL, the rows (or columns) of resulting sparse matrix will be union of those from input.file and those from rows (or columns). None
1 2 3 4 5 6 7 8 9 10 | # create a sparse matrix of 4 X 2
input.file <- rbind(c('R1','C1',1), c('R2','C1',1), c('R2','C2',1),
c('R3','C2',1), c('R4','C1',1))
res <- xSparseMatrix(input.file)
res
# get a full matrix
as.matrix(res)
res <- xSparseMatrix(input.file, columns=c('C1','C2','C3'))
res
|
Loading required package: igraph
Attaching package: 'igraph'
The following objects are masked from 'package:stats':
decompose, spectrum
The following object is masked from 'package:base':
union
Loading required package: dnet
Loading required package: supraHex
Loading required package: hexbin
Loading required package: ggplot2
Load the input data matrix of 5 X 3 ...
There are 5 entries, converted into a sparse matrix of 4 X 2.
4 x 2 sparse Matrix of class "dgCMatrix"
C1 C2
R1 1 .
R2 1 1
R3 . 1
R4 1 .
C1 C2
R1 1 0
R2 1 1
R3 0 1
R4 1 0
Load the input data matrix of 5 X 3 ...
There are 5 entries, converted into a sparse matrix of 4 X 3.
4 x 3 sparse Matrix of class "dgCMatrix"
C1 C2 C3
R1 1 . .
R2 1 1 .
R3 . 1 .
R4 1 . .
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