`dcDuplicated`

is supposed to determine the duplicated vectorised
patterns from a matrix or data frame. The patterns can come from
column-wise vectors or row-wise vectors. It returns an integer vector,
in which the value indicates from which it duplicats.

dcDuplicated(data, pattern.wise = c("column", "row"), verbose = T)

- data
- an input data matrix/frame
- pattern.wise
- a character specifying in which wise to define patterns from input data. It can be 'column' for column-wise vectors, and 'row' for row-wise vectors
- verbose
- logical to indicate whether the messages will be displayed in the screen. By default, it sets to TRUE for display

an interger vector, in which an entry indicates from which it duplicats. When viewing column-wise patterns (or row-wise patterns), the returned integer vector has the same length as the column number (or the row number) of input data.

none

# an input data matrix storing discrete states for tips (in rows) X four characters (in columns) data1 <- matrix(c(0,rep(1,3),rep(0,2)), ncol=1) data2 <- matrix(c(rep(0,4),rep(1,2)), ncol=1) data3 <- matrix(c(1,rep(0,3),rep(1,2)), ncol=1) data <- cbind(data1, data2, data1, data3) colnames(data) <- c("C1", "C2", "C3", "C4") dataC1 C2 C3 C4 [1,] 0 0 0 1 [2,] 1 0 1 0 [3,] 1 0 1 0 [4,] 1 0 1 0 [5,] 0 1 0 1 [6,] 0 1 0 1# determine the duplicated patterns from inut data matrix res <- dcDuplicated(data, pattern.wise="column")Merge 4 patterns (2015-07-23 12:50:53) ...Sort 4 patterns (2015-07-23 12:50:53) ...Find index from 4 patterns (2015-07-23 12:50:53) ...For the input data (with 4 patterns), there are 3 unique 'column'-wise patterns (2015-07-23 12:50:53)## return an integer vector res[1] 1 2 1 4## get index for unique patterns ind <- sort(unique(res)) ## As seen above, the returned integer vector tells there are 3 unique patterns: ## they are in columns (1, 2, 4). The column 3 is duplicated from column 1.

`dcDuplicated.r`

`dcDuplicated.Rd`

`dcDuplicated.pdf`

`dcAncestralMP`

, `dcAncestralMP`

,
`dcAlgo`