#' Example Function to multiply two numbers
#'
#' This is a simple function that, by default, multiplies two numbers.
#' @param x one of the arguments to multiply.
#' @param y one of the arguments to multiply.
#'
#' @export
my_function <- function(x, y) {
print("First Function here...")
x*y
}
#' Demonstrate how the overdue function works using dummy data
#'
#' This is an example function to demonstrate how the main function works.
#'
#' @export
example <- function() {
example_data <- NULL
load("./data/example_data.rda")
overdue(example_data)
}
#' Main Function
#'
#' This is calculates the percentage of overdue accounts.
#' @param ch_data the dataset to work on.
#' @param mode the type of account to include - default is all.
#'
#' @export
overdue <- function(ch_data, mode = '') {
print("YAY")
# Summary of ch_data
summary(ch_data)
# Get a dataframe with only 3 columns (discard the rest)
all_companies <- ch_data[c("CompanyName", "CompanyStatus", "Accounts.NextDueDate")]
# Get all active companies (discard the rest)
active <- all_companies[all_companies$CompanyStatus == "Active", ]
active
# Convert date column to R date
active$Accounts.Due = as.Date(active$Accounts.NextDueDate, "%d/%m/%Y")
summary(active)
# Get current date
current <- Sys.Date()
class(current)
# Append column with overdue dates and select only these rows
active$due <- active$Accounts.Due - current
overdue <- active[active$due <0, ]
# na.omit gets rid of any row with N/A
overdue <- na.omit(overdue)
overdue
# Calculate percentage of overdue accounts ... pod
all_companies_number <- nrow(all_companies)
all_companies_active <- nrow(active)
overdue_number <- nrow(overdue)
overdue_number
all_companies_active
pod <- (overdue_number / all_companies_active) * 100
}
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