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#' Compute the 6 parameters needed to lay out the grid for the surfaces computed in estSurfaces
#'
#' The code here is a repetition of the first part of the code for estSurfaces
#'
#' @param Daily data frame containing the daily values, default is Daily
#' @keywords water-quality statistics
#' @return surfaceIndexParameters a numeric vector of length 6, defining the grid for the surfaces
#' @export
#' @examples
#' eList <- Choptank_eList
#' Daily <- getDaily(eList)
#' surfaceIndex(Daily)
surfaceIndex<-function(Daily){
# this function contains the same code that comes at the start of
# estSurfaces, it just computes the parameters of the grid
# used for the surfaces so that they can be stored for future use
# the first index is discharge, layed out in 14 equally spaced levels of log(Q)
# the second index is time, layed out as 16 increments of the calendar year, starting January 1.
# Note: I don't think this is the smartest way to do this, but I'm not sure what to do here
# I don't like trying to have the same code twice
#
localDaily <- Daily
bottomLogQ<- min(localDaily$LogQ, na.rm = TRUE) - 0.05
topLogQ <- max(localDaily$LogQ, na.rm = TRUE) + 0.05
stepLogQ <-(topLogQ-bottomLogQ)/13
vectorLogQ <- seq(bottomLogQ,topLogQ,stepLogQ)
stepYear<-1/16
bottomYear<-floor(min(localDaily$DecYear, na.rm = TRUE))
topYear<-ceiling(max(localDaily$DecYear, na.rm = TRUE))
vectorYear<-seq(bottomYear,topYear,stepYear)
nVectorYear<-length(vectorYear)
surfaceIndexParameters<-list(bottomLogQ=bottomLogQ,
stepLogQ=stepLogQ,
nVectorLogQ=14,
bottomYear=bottomYear,
stepYear=stepYear,
nVectorYear=nVectorYear,
vectorYear=vectorYear,
vectorLogQ=vectorLogQ)
return(surfaceIndexParameters)
}
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