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#' Verify Previously Saved Cluster Data
#'
#' @description Users may wish to save long-form combined cluster data as a \code{.csv} file
#' or similar after combining individual clusters with \code{\link{qm_combine}}. The \code{qm_verify}
#' function allows users to import data from any file type readable by \code{R}, and verify that it
#' has the column names needed for \code{\link{qm_summarize}}.
#'
#' @usage qm_verify(clusters)
#'
#' @param clusters An object created by \code{qm_combine} with two or more clusters worth of data
#' that has been previously saved and requires verification before summarization.
#'
#' @return A tibble stored with a custom class of \code{qm_cluster} to facilitate data validation.
#'
#' @export
qm_verify <- function(clusters){
# verify columns
if (ncol(clusters) < 4){
stop("The object given for 'clusters' has fewer than the minimum 4 columns.")
}
if ("RID" %in% names(clusters) == FALSE){
stop("The variable 'RID' is missing and is required for verification.")
}
if ("CID" %in% names(clusters) == FALSE){
stop("The variable 'CID' is missing and is required for verification.")
}
if ("CAT" %in% names(clusters) == FALSE){
stop("The variable 'CAT' is missing and is required for verification.")
}
# ensure clusters is a tibble
clusters <- dplyr::as_tibble(clusters)
# return output
return(clusters)
}
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