#' Melt the phabmetrics output dataframe to long format
#'
#' @param data Input data
#'
#' @export
#'
#' @importFrom magrittr "%>%"
#' @importFrom dplyr select full_join
#' @importFrom tidyr gather
#' @importFrom stats setNames
#'
longformat <- function(data) {
metrics.sd <- data %>%
dplyr::select(
phab_sampleid, StationCode, SampleDate, SampleAgencyCode,
which(grepl("\\.sd",names(data)))
) %>%
dplyr::rename(setNames(names(.),gsub("\\.sd","",names(.)))) %>%
tidyr::gather(
key = 'Variable',value = 'sd', -c(phab_sampleid,StationCode,SampleDate,SampleAgencyCode)
)
metrics.count <- data %>%
dplyr::select(
phab_sampleid, StationCode, SampleDate, SampleAgencyCode,
which(grepl("\\.count",names(data)))
) %>%
dplyr::rename(setNames(names(.),gsub("\\.count","",names(.)))) %>%
tidyr::gather(
key = 'Variable',value = 'Count_Calc', -c(phab_sampleid,StationCode,SampleDate,SampleAgencyCode)
)
metrics.result <- data %>%
dplyr::select(
phab_sampleid, StationCode, SampleDate, SampleAgencyCode,
which(grepl("\\.result",names(data)))
) %>%
dplyr::rename(setNames(names(.),gsub("\\.result","",names(.)))) %>%
tidyr::gather(
key = 'Variable',value = 'Result', -c(phab_sampleid,StationCode,SampleDate,SampleAgencyCode)
)
return(
metrics.result %>%
full_join(
metrics.count,
by = c(
'phab_sampleid','StationCode','SampleDate','SampleAgencyCode','Variable'
)
) %>%
full_join(
metrics.sd,
by = c(
'phab_sampleid','StationCode','SampleDate','SampleAgencyCode','Variable'
)
)
)
}
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