#' my own floating median
#'
#' This function gives the floating median with a given number of data points
#' @param data vector of data
#' @param l number of points to be averaged
#' @param clear.outliers Boolean
#' @param pad boolean whether NA should be added in front and in the back to maintain the same length
#' @keywords sd
#' @keywords floating
#' @export
#'
floatingMedian <- function (data, l = 6 , clear.outliers = FALSE, pad = FALSE){
out <- c()
len <- length(data)
if (clear.outliers) {
clear.signal <-clear.outliers(data, fill.gaps = F, a = 10)
}
else {
clear.signal <- data
}
for(i in 1:len){
if(i>l/2 && i <= len-floor(l/2)){
out <- c(out,median(clear.signal[(i-floor(l/2)):(i+ceiling(l/2-1))], na.rm = T))
}
}
if(pad){
out <- c(rep(NA,(l-1)/2),out,rep(NA,(l-1)/2))
}
return(out)
}
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