runningId <- function(i, step = 1, N, prefix = "") {
perc <- ifelse(missing(N), "", sprintf(", %.1f%% ", i/N*100))
if (mod(i, step) == 0) cat(sprintf("[%s] running%s %d ...\n", prefix, perc, i))
}
# #' @importFrom foreach %do% foreach
# apply_row <- function(mat, by, FUN = rowMeans2, ...) {
# if (length(by) != ncol(mat)) {
# stop('Length of by is not equal to ncol of mat')
# }
# grps <- unique(by) %>% sort()
# foreach(grp = grps, .combine = cbind) %do% {
# I <- which(by == grp)
# FUN(mat[, I], na.rm = TRUE, ...)
# } %>% set_colnames(grps) %>%
# set_rownames(rownames(mat))
# }
# ' @importFrom base intersect setdiff union
#' @importFrom data.table data.table is.data.table as.data.table
reorder_name <- function(
d,
headvars = c("site", "date", "year", "doy", "d8", "d16"),
tailvars = "")
{
names <- names(d)
headvars %<>% intersect(names)
tailvars %<>% intersect(names)
varnames <- c(headvars, setdiff(names, union(headvars, tailvars)), tailvars)
if (is.data.table(d)) {
d[, varnames, with = F]
} else if (is.data.frame(d)) {
d[, varnames]
} else if (is.list(d)){
d[varnames]
} else{
stop("Unknown data type!")
}
}
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