An S4 class to represent an absolute frequency matrix (i.e. the number of times a given datum occurs in a dataset).
CountMatrix(data = 0, nrow = 1, ncol = 1, byrow = FALSE, dimnames = NULL)
data | A data vector. |
---|---|
nrow | An |
ncol | An |
byrow | A |
dimnames | A list of length 2 giving the row and column names
respectively. If |
In the code snippets below, x
is a *Matrix
object.
length(x)
Returns the length of x
.
dim(x)
Returns the dimension of x
.
nrow(x)
Returns the number of rows present in x
.
ncol(x)
Returns the number of columns present in x
.
dimnames(x)
, dimnames(x) <- value
Retrieves or sets
the row dimnames of x
according to value
.
rownames(x)
, rownames(x) <- value
Retrieves or sets
the row names of x
according to value
.
colnames(x)
, colnames(x) <- value
Retrieves or sets
the column names of x
according to value
.
In the code snippets below, x
is a *Matrix
object.
x[i, j, ..., drop]
Extracts elements selected by subscripts
i
and j
. Indices are numeric
or
character
vectors or empty (missing) or NULL
.
Numeric values are coerced to integer
as by
as.integer
(and hence truncated towards zero).
Character vectors will be matched to the dimnames
of the
object. An empty index (a comma separated blank) indicates that all
entries in that dimension are selected.
Returns an object of the same class as x
.
x[[i]]
Extracts a single element selected by subscript
i
.
Other matrix:
AbundanceMatrix-class
,
DataMatrix-class
,
GenericMatrix-class
,
IncidenceMatrix-class
,
OccurrenceMatrix-class
,
SimilarityMatrix-class
,
StratigraphicMatrix-class
,
coerce()
N. Frerebeau
## Create an incidence (presence/absence) matrix ## Data will be coerced with as.logical() A <- IncidenceMatrix(data = sample(0:1, 100, TRUE, c(1, 1/3)), nrow = 20) ## Create a count data matrix B <- CountMatrix(data = sample(0:10, 100, TRUE), nrow = 20) ## Access dim(B) # Get the matrix dimensions#> [1] 20 5#> [,1] [,2] [,3] [,4] [,5] #> [1,] 1 1 1 1 1 #> [2,] 2 2 2 2 2 #> [3,] 3 3 3 3 3 #> [4,] 4 4 4 4 4 #> [5,] 5 5 5 5 5 #> [6,] 6 6 6 6 6 #> [7,] 7 7 7 7 7 #> [8,] 8 8 8 8 8 #> [9,] 9 9 9 9 9 #> [10,] 10 10 10 10 10 #> [11,] 11 11 11 11 11 #> [12,] 12 12 12 12 12 #> [13,] 13 13 13 13 13 #> [14,] 14 14 14 14 14 #> [15,] 15 15 15 15 15 #> [16,] 16 16 16 16 16 #> [17,] 17 17 17 17 17 #> [18,] 18 18 18 18 18 #> [19,] 19 19 19 19 19 #> [20,] 20 20 20 20 20#> [,1] [,2] [,3] [,4] [,5] #> [1,] col1 col2 col3 col4 col5 #> [2,] col1 col2 col3 col4 col5 #> [3,] col1 col2 col3 col4 col5 #> [4,] col1 col2 col3 col4 col5 #> [5,] col1 col2 col3 col4 col5 #> [6,] col1 col2 col3 col4 col5 #> [7,] col1 col2 col3 col4 col5 #> [8,] col1 col2 col3 col4 col5 #> [9,] col1 col2 col3 col4 col5 #> [10,] col1 col2 col3 col4 col5 #> [11,] col1 col2 col3 col4 col5 #> [12,] col1 col2 col3 col4 col5 #> [13,] col1 col2 col3 col4 col5 #> [14,] col1 col2 col3 col4 col5 #> [15,] col1 col2 col3 col4 col5 #> [16,] col1 col2 col3 col4 col5 #> [17,] col1 col2 col3 col4 col5 #> [18,] col1 col2 col3 col4 col5 #> [19,] col1 col2 col3 col4 col5 #> [20,] col1 col2 col3 col4 col5 #> Levels: col1 col2 col3 col4 col5#> [1] 20#> [1] 5#> [[1]] #> [1] "row1" "row2" "row3" "row4" "row5" "row6" "row7" "row8" "row9" #> [10] "row10" "row11" "row12" "row13" "row14" "row15" "row16" "row17" "row18" #> [19] "row19" "row20" #> #> [[2]] #> [1] "col1" "col2" "col3" "col4" "col5" #>#> [1] "A" "B" "C" "D" "E" "F" "G" "H" "I" "J" "K" "L" "M" "N" "O" "P" "Q" "R" "S" #> [20] "T"#> [1] "u" "v" "w" "x" "y"## Subset B[[1, 1]] # Get the first value#> [1] 1B[, ] # Get all values#> <CountMatrix: 20 x 5> #> u v w x y #> A 1 6 10 6 9 #> B 6 3 1 10 1 #> C 2 3 9 9 8 #> D 9 3 10 6 9 #> E 7 2 7 5 5 #> F 2 4 1 4 9 #> G 0 5 5 9 1 #> H 0 4 5 8 1 #> I 8 2 0 5 8 #> J 9 3 4 7 0 #> K 9 8 4 2 0 #> L 10 4 5 9 0 #> M 4 5 8 9 0 #> N 1 6 0 10 8 #> O 9 6 0 1 1 #> P 10 9 8 9 2 #> Q 7 5 3 6 8 #> R 1 4 1 6 4 #> S 3 7 7 3 7 #> T 4 10 6 6 5B[1, ] # Get the first row#> [1] 1 6 10 6 9B[, 1] # Get the first column#> [1] 1 6 2 9 7 2 0 0 8 9 9 10 4 1 9 10 7 1 3 4#> <CountMatrix: 3 x 5> #> u v w x y #> A 1 6 10 6 9 #> B 6 3 1 10 1 #> C 2 3 9 9 8#> <CountMatrix: 3 x 1> #> u #> D 9 #> E 7 #> F 2