# Calculates the daily median value
#
#--------- FUNCTION SUMMARY -------------
# 1. CalcDailyMed
# This function calculates the daily median value by
# aggregating the variable of interest to the daily time step
# by taking the mean of the values in a day and then calculates
# the median.
# REQUIRED INPUTS
# 1. Dataframe with dates and variable of interest (dataframe)
# 2. The column name for the variable of interest (string)
# OPTIONAL INPUTS
# 1. The column name of the date column (string)
# DEPENDENCIES
# None
#----------------------------------------
CalcDailyMed <- function(dataFrame, colName_VariableOfInterest, colName_Date = 'date') {
names(dataFrame)[names(dataFrame) == colName_VariableOfInterest] <- 'value'
names(dataFrame)[names(dataFrame) == colName_Date] <- 'date'
# Add a column that includes the month-day-year date format which will be used to
# aggregate the data over.
dataFrame$date <- format(as.POSIXct(dataFrame$date), format = '%m-%d-%Y')
# Calculate the mean daily values
dataFrame_meanDailyValues <- aggregate(value ~ date, dataFrame, mean)
# Calculate the median of the daily values
medianDailyValue <- median(dataFrame_meanDailyValues$value)
medianDailyValue
}
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