Nothing
patch_age <- function(span)
{
s1 <- list()
for(i in 1:length(span)){
s1[[i]] <- span[[i]][,8]
}
s2 <- unique(unlist(s1))
max1 <- length(s2)
mat1 <- as.data.frame(matrix(nrow=max1,ncol=length(span)))
rownames(mat1) <- s2
for(y in 1:ncol(mat1)){
s0 <- as.vector(s1[[y]])
l_s0 <- length(s0)
if(l_s0!=0){
for (v in 1:l_s0){
val1 <- s0[v]
if (val1%in% rownames(mat1)) mat1[rownames(mat1)==val1,y] <- 1
}}
}
mat1[is.na(mat1)] <- 0
p_age <- sample(1:length(span), nrow(span[[1]]), replace=T)
mat1[1:length(p_age),1] <- p_age
for(b in 1:nrow(mat1)){
l2 <- as.numeric(mat1[b,])
l3 <- cumsum(l2)
l3 <- l3*l2
l3[1] <-l3[1]/l2[1]
l3[is.na(l3)] <- 0
l3[l3 > length(l3)] <- length(l3)
mat1[b,] <- l3
}
for(m in 1:nrow(mat1)){
l1 <- as.numeric(mat1[m,])
for(n in 1:length(l1)){
if(l1[n]!=0)break
else l1[n]<-NA
}
mat1[m,] <- l1
}
span1 <- list()
for(d in 1:length(span)){
r1 <- span[[d]]
col1 <- mat1[,d]
col2 <- col1[!is.na(col1)]
col3 <- col2[col2 != 0 ]
r2 <- cbind(r1,col3)
colnames(r2)[9] <- "age"
span1[[d]] <- r2
}
return(span1)
}
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