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#' Make PCL matrix part two
#'
#' \code{make_matrix_part_two} produces a matrix of, x, z values in
#' coordinate space with the number and type of each LiDAR
#' return in each x, z bin combination
#'
#'
#' @param df data frame of PCL data that has been processed with
#'
#' @keywords matrix
#' @return sorted matrix of LiDAR returns for each x, z position
#'
#'
#'
make_matrix_part_two <- function(df) {
#ultimately this should actually make an empty data frame or something
p <- df
df2 <- expand.grid(xbin = c(1:max((p$xbin))),
zbin = c(0:max((p$zbin))))
#
q <- merge(p, data.frame(table(df2[1:2])), all.y=TRUE)
#now to add empty rows as NA
#q <- merge(p, data.frame(table(p[1:2]))[-c(3:9)],all.y=TRUE)
replace(q, is.na(q), 0)#This will correct for any gaps w/out mesmts as all NAs will be 0
}
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