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#' Create Annotations Table
#'
#' Uses the column meta data (Col.Meta; feature data that appears above
#' the protein measurements in the adat file)
#' and compiles them into a grouped tibble lookup table
#' for simple manipulation and indexing.
#'
#' @param x The "Col.Meta" element from an adat attributes.
#' @return A `tibble` object with columns corresponding
#' to the column meta data entries in the adat.
#' @author Stu Field
#' @importFrom tibble as_tibble
#' @noRd
convertColMeta <- function(x) {
# conversion fails if un-equal length columns
tbl <- setNames(as_tibble(x), cleanNames(names(x)))
if ( !is.null(tbl$Dilution) ) {
tbl$Dilution2 <- as.numeric(gsub("%$|Mix ", "", tbl$Dilution)) / 100
}
convert_lgl <- function(.x) {
w <- tryCatch(as.numeric(.x), warning = function(w) w)
is_warn <- inherits(w, "simpleWarning")
# NA warning tripped?
na_warn <- is_warn && identical(w$message, "NAs introduced by coercion")
num_ok <- !na_warn
num_ok && !inherits(.x, c("factor", "integer")) # don't touch factors/integers
}
idx <- which(vapply(tbl, convert_lgl, NA))
for ( i in idx ) tbl[[i]] <- as.numeric(tbl[[i]])
tbl$Dilution <- as.character(tbl$Dilution) # keep character
tbl$SeqId <- getSeqId(tbl$SeqId, TRUE) # rm versions; safety
tbl
}
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