Should use this document for actual operations and keep actual functions in another document for the public GitHub repo. Shiny will be set up at https://www.shinyapps.io/admin/#/dashboard.
+# Use https://github.com/maxconway/gsheet
+library(gsheet)
+
+# Pull Google sheet locations from another file (journal1, journal2, etc.)
+source("config.R")
+
+# Combine bank accounts
+journal<-rbind(journal1,journal2)
+
+## Clean up
+# Date is date
+journal$Date<-as.Date(journal$Date,format="%m/%d/%Y")
+# Replace empty classes and accounrs
+journal$Class[journal$Class==""]<-c("unclassified")
+journal$Account[journal$Account==""]<-c("unclassified")
+# Class, Accounts are factors
+journal$Class<-as.factor(journal$Class)
+journal$Account<-as.factor(journal$Account)
+# Empty class should be NA
+# Debit and Credit are numeric, without commas
+journal$Debit<-as.numeric(sub(",","",journal$Debit))
+journal$Credit<-as.numeric(sub(",","",journal$Credit))
+
+## Temp function location
+# TODO learn where to store functions
+########## net() function, takes journal, class name(s), and date range as arguments
+net<-function(journ,classselect="all",accselect="all",dates="all"){
+ if("all" %in% classselect) {
+ classselect<-levels(journ$Class)
+ }
+ if("all" %in% accselect) {
+ accselect<-levels(journ$Account)
+ }
+ if("all" %in% dates) {
+ dates<-c(min(journ$Date),max(journ$Date))
+ }
+ net<-sum(journ$Credit[journ$Class %in% classselect & journ$Account %in% accselect & journ$Date>=dates[1] & journ$Date<=dates[2]],
+ na.rm=T)-sum(journ$Debit[journ$Class %in% classselect & journ$Account %in% accselect & journ$Date>=dates[1] & journ$Date<=dates[2]],
+ na.rm=T)
+ return(net)
+}
+##########
+
+########## Net table by class
+net.class<-function(journ,
+ classselect="all",
+ accselect="all",
+ dates="all",
+ total=F) {
+# List of classes
+ if("all" %in% classselect) {
+ classselect<-levels(journ$Class)
+ }
+# Set up data frame
+net.class.out<-data.frame(Class=character(),
+ Net=numeric(),
+ stringsAsFactors=FALSE)
+# Loop through classes, calculate net, and add to data frame
+for (i in 1:length(classselect)) {
+ net.class.out[i,] <- c(classselect[i],
+ net(journ,
+ classselect=classselect[i],
+ accselect=accselect,
+ dates="all"))
+ }
+# Add total net row
+if(total) {
+ net.class.out[nrow(net.class.out)+1,]<-c("Total",net(journal))
+ }
+return(net.class.out)
+}
+##########
+
+#work in progress
+
+########## Net table by account
+net.acc<-function(journ,
+ classselect="all",
+ accselect="all",
+ dates="all",
+ total=F) {
+# List of classes - need to do this here before passing to net()
+ if("all" %in% accselect) {
+ accselect<-unique(journ$Account)
+ }
+# Set up data frame
+net.acc.out<-data.frame(Account=character(),
+ Net=numeric(),
+ stringsAsFactors=FALSE)
+# Loop through accounts, calculate net, and add to data frame
+for (i in 1:length(accselect)) {
+ net.acc.out[i,] <- c(as.character(accselect[i]),
+ net(journ,
+ classselect=classselect,
+ accselect=accselect[i],
+ dates=dates))
+}
+# Sort by account name
+net.acc.out<-net.acc.out[order(net.acc.out$Account) , ]
+# Add total net row
+if(total) {
+ net.acc.out[nrow(net.acc.out)+1,]<-c("Total",net(journal))
+ }
+return(net.acc.out)
+}
+##########
+
+
+
+
+
+# See other reports in QB and Ledger