write transformed data to excel

scripts/phase2/transform_data.r

 library("readxl")
+library("writexl")
 library("dplyr")
 
 # Phase 2 Excel
-# https://unl.box.com/s/4dfo4iv2n8awiqt20himu24kyhtmgavk
-fileName <- "C:/Users/its-student/Desktop/Phase2.xlsx"
+input <- "C:/Users/its-student/Desktop/Phase2In.xlsx"
+output <- "C:/Users/its-student/Desktop/Phase2Out.xlsx"
 
 # read in sheets
-data        <- read_excel(fileName, sheet = "Data")
-commission  <- read_excel(fileName, sheet = "Commission") # by group and policy duration
-expense     <- read_excel(fileName, sheet = "Expense") # bin by annualized net premium
-rtn         <- read_excel(fileName, sheet = "RTN")
-sic         <- read_excel(fileName, sheet = "SIC")
-tax         <- read_excel(fileName, sheet = "Tax")
+data        <- read_excel(input, sheet = "Data")
+commission  <- read_excel(input, sheet = "Commission") # by group and policy duration
+expense     <- read_excel(input, sheet = "Expense") # bin by annualized net premium
+rtn         <- read_excel(input, sheet = "RTN")
+sic         <- read_excel(input, sheet = "SIC")
+tax         <- read_excel(input, sheet = "Tax")
 
 # drop reserves not related to STD (IBNR)
 data <- data %>% select(-c(ICOS, WAIVER_IBNR, GAAP_RESV, WAIVER_RESERVE))
@@ -97,3 +98,7 @@ data <- data %>% mutate(ACTUAL_CLAIMS = PAID_CLAIMS + IBNR)
 
 # calculate actual to expected ratio
 data <- data %>% mutate(ACTUAL_TO_EXPECTED = ACTUAL_CLAIMS / EXPECTED_CLAIMS)
+
+# write data to Excel
+write_xlsx(data, path = output, col_names = TRUE)
+