https://github.com/cran/emplik
Tip revision: 6134b422a865c19f1e8df22153e71d033097b60f authored by Mai Zhou on 20 May 2020, 19:30:03 UTC
version 1.1-1
version 1.1-1
Tip revision: 6134b42
Wdataclean5.R
Wdataclean5 <- function(z,d,zc=rep(1,length(z)),wt=rep(1,length(z)),xmat)
{
xmat <- as.matrix(xmat)
if(nrow(xmat) != length(z)) stop("nrow(xmat) must = length(z)")
niceorder <- order(z,-d)
sortedz <- z[niceorder]
sortedd <- d[niceorder]
sortedw <- wt[niceorder]
sortedzc <- zc[niceorder]
sortedxmat <- as.matrix(xmat[niceorder,])
n <- length(sortedd)
y1 <- sortedz[-1] != sortedz[-n]
y2 <- sortedd[-1] != sortedd[-n]
y3 <- sortedzc[-1] != sortedzc[-n]
y <- y1 | y2 | y3
ind <- c(which(y | is.na(y)), n)
csumw <- cumsum(sortedw)
list( value = sortedz[ind], dd = sortedd[ind],
weight = diff(c(0, csumw[ind])),
xxmat = as.matrix(sortedxmat[ind,] ) )
}
##############################################################
# this function sorts the data, and collapse them
# if there are true tie. and number of tie counted in weight.
# zc acts as a control of collapse: even if (z[i],d[i]) = (z[j],d[j])
# but zc[i] != zc[j], obs. i and j will not collapse into one.
# the matrix is also sorted according to (z -d).
##############################################################