#' crop_loss
#'
#' Find the amount of crops lost in a given year between 1895-2019
#' @param temp data frame with columns Date, Value, Anomaly
#' @param precip data frame with columns Date, Value, Anomaly
#' @author Andrew Paterson and Kelly Odion
#' @example crop_loss(temp, precip)
#' @return Returns a list containing,
#' \describe{
#' \item{drought}{the lowest ratio between precipitation and temperature}
#' \item{wet}{the highest ratio between precipitation and temperature}
crop_loss = function(precip, temp) {
data_frame = merge(precip, temp, by = "Date") %>%
rename(Precipitation = "Value.x", Precipitation_Anomaly = "Anomaly.x", Temperature = "Value.y", Temperature_Anomaly = "Anomaly.y")
drought_ratio = min(data_frame$Precipitation/data_frame$Temperature)
wet_ratio = max(data_frame$Precipitation/data_frame$Temperature)
return(list(drought = drought_ratio,
wet = wet_ratio))
}
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