#' Make an income statement upto EBIT for Uber income and expense data
#'
#' This function takes a dataframe of uber income data and user generated
#' expsenses and combines them to make an income statement up to EBIT.
#' The statement can be either quarterly or annual (10k or 10q).
#' @param income_data dataframe of income generated by fmt_inc()
#' @param expense_data dataframe of expenses generated by fmt_exp()
#' @param tenQ should the table be quarterly or annual ? Default to annual
#' @param tex if TRUE, prints a latex formatted table as well.
#' @keywords uber accounting EBIT
#' @import magrittr
#' @import dplyr
#' @import plyr
#' @import lubridate
#' @export
#' @examples
#' uber_ebit( myinc.df, myexp.df, tenQ = TRUE, tex = FALSE)
uber_ebit <- function( income_data, expense_data, tenQ = FALSE, tex = FALSE ) {
# add something to check that the dfs are of the right dims
# make the annual income statement
if (tenQ == FALSE) {
names( income_data )[2] <- "value"
names( expense_data )[2] <- "value"
inc <- income_data %>% filter( item == "INCOME")
exp <- expense_data %>% filter( item == "EXPENSES")
inc_statement <- bind_rows(
income_data, expense_data,
data_frame(item = "EBIT", value = inc$value - exp$value ) )
} else {
inc <- income_data %>% filter( item == "INCOME")
exp <- expense_data %>% filter( item == "EXPENSES")
EBIT_row <- data_frame( item = "EBIT", Q1 = inc$Q1 - exp$Q1,
Q2 = inc$Q2 - exp$Q2, Q3 = inc$Q3 - exp$Q3,
Q4 = inc$Q4 - exp$Q4 )
inc_statement <- bind_rows( income_data, expense_data, EBIT_row )
}
# need to add part about stargazer and printing a table...
return( inc_statement )
}
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