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contrib<-function (start_follow, end_follow, incid_cov, surv_cov, follow_up,
increment) {
start_follow2 = increment * ceiling(start_follow/increment)
end_follow2 = increment * floor(end_follow/increment)
end_follow2[end_follow == follow_up] = increment * round(end_follow[end_follow ==
follow_up]/increment)
follow_up2 = increment * round(follow_up/increment)
x = seq(1:length(start_follow2))[start_follow2 <= end_follow2]
start_follow2 = start_follow2[x]
end_follow2 = end_follow2[x]
incid_cov = incid_cov[x, ]
surv_cov = surv_cov[x, ]
follow_up2 = follow_up2[x]
cov = cbind(incid_cov, surv_cov)
p = length(c(surv_cov[1, ], incid_cov[1, ]))
ti2 <- matrix(unlist(apply(cbind(start_follow2, end_follow2,
follow_up2), 1, function(x) {
seq(x[3] - x[1], x[3] - x[2], -increment)
})), ncol = 1, byrow = F)
temp <- matrix(0, nrow = length(ti2), ncol = p)
for (i in 1:p) {
temp[, i] = unlist(apply(cbind(start_follow2, end_follow2,
follow_up2, cov[, i]), 1, function(x) {
rep(x[4], length(seq(x[3] - x[1], x[3] - x[2], -increment)))
}))
}
w1 <- matrix(unlist(apply(cbind(start_follow2, end_follow2,
follow_up2), 1, function(x) {
rep(x[3], length(seq(x[3] - x[1], x[3] - x[2], -increment)))
})), ncol = 1, byrow = F)
cont = cbind(ti2, w1, temp)
cont[, 2] = apply(cont, 1, function(cont) {
if (cont[1] < increment/2) {
cont[2] = 0.5
}
else if (cont[2] - cont[1] < increment/2) {
cont[2] = 0.5
}
else cont[2] = 1
})
by_cov2 = vector(mode = "list", length = p + 1)
by_cov2[[1]] = cont[, 1]
for (i in 1:p) {
by_cov2[[i + 1]] = cont[, i + 2]
}
return(list(aggregate(cont[, 2], by_cov2, sum), length(incid_cov[1,
]), length(surv_cov[1, ]), increment))
}
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