File: sankoff.R

package info (click to toggle)
r-cran-phangorn 1.99.14-1~bpo8%2B1
  • links: PTS, VCS
  • area: main
  • in suites: jessie-backports
  • size: 2,372 kB
  • sloc: ansic: 2,710; makefile: 3
file content (95 lines) | stat: -rw-r--r-- 2,789 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
prepareDataSankoffNew <- function(data){
    contrast = attr(data, "contrast")
    contrast[contrast == 0] = 1.0e+06
    contrast[contrast == 1] <- 0.0
    attr(data, "contrast") <- contrast
    data
}


sankoffNew <- function (tree, data, cost = NULL, site = 'pscore') 
{
    if (class(data) != "phyDat") 
        stop("data must be of class phyDat")
    data <- prepareDataSankoffNew(data)
    weight <- attr(data, "weight")

    levels <- attr(data, "levels")
    l = length(levels)  

    if (is.null(cost)) {
        cost <- matrix(1, l, l)
        cost <- cost - diag(l)
    }   

    l <- length(data)
    nr <- attr(data, "nr")
 
#    on.exit(.C("sankoff_free"))
#    .C("sankoff_init", as.integer())


#    for (i in 1:length(data)) storage.mode(data[[i]]) = "double"

    if(class(tree)=="phylo") return(fit.sankoffNew(tree, data, cost, returnData =site))
    if(class(tree)=="multiPhylo"){
	    if(is.null(tree$TipLabel))tree = unclass(tree)
	    return(sapply(tree, fit.sankoffNew, data, cost, site))
    }    
}


fit.sankoffNew <- function (tree, data, cost, returnData = c("pscore", "site", "data")) 
{
    if (is.null(attr(tree, "order")) || attr(tree, "order") == 
        "cladewise") 
        tree <- reorder(tree, "postorder")
    returnData <- match.arg(returnData) 
    node <- tree$edge[, 1]
    edge <- tree$edge[, 2]
    weight = attr(data, "weight")
    nr = p = attr(data, "nr")
    
    contr = attr(data, "contrast")
    
    q = length(tree$tip.label)
    nc = l = attr(data, "nc")
    m = length(edge) + 1
    dat = vector(mode = "list", length = m)
    dat[1:q] = data[tree$tip.label]
    node = as.integer(node - 1)
    edge = as.integer(edge - 1)
    nTips = as.integer(length(tree$tip))
    mNodes = as.integer(max(node) + 1)
#    tips = as.integer((1:length(tree$tip))-1)
    res <- .Call("sankoff3B", dat, as.numeric(cost), as.integer(nr),as.integer(nc), 
         node, edge, mNodes, nTips, as.double(contr), as.integer(nrow(contr)), PACKAGE="phangorn")  
    root <- getRoot(tree) 
    erg <- .Call("C_rowMin", res[[root]], as.integer(nr), as.integer(nc), PACKAGE = "phangorn")
    if (returnData=='site') return(erg)
    pscore <- sum(weight * erg)
    result = pscore
    if (returnData=="data"){ 
        result <- list(pscore = pscore, dat = res)
        }
    result
}


pnodesNew <- function (tree, data, cost) 
{
    if (is.null(attr(tree, "order")) || attr(tree, "order") == 
        "cladewise") 
        tree <- reorder(tree, "postorder")
    node <- tree$edge[, 1]
    edge <- tree$edge[, 2]
    nr = nrow(data[[1]])
    nc = ncol(data[[1]])
    node = as.integer(node - 1)
    edge = as.integer(edge - 1)  
    .Call("pNodes", data, as.numeric(cost), as.integer(nr),as.integer(nc),
         node, edge, PACKAGE="phangorn")
}