128 lines
3.8 KiB
Plaintext
128 lines
3.8 KiB
Plaintext
---
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title: "Untitled"
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author: "Matt"
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date: "April 7, 2016"
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output: html_document
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---
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```{r setup, include=FALSE}
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knitr::opts_chunk$set(echo = TRUE)
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```
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Should use this document for actual operations and keep actual functions in another document for the public [GitHub repo](https://github.com/mattbk/ledgerr). Shiny will be set up at https://www.shinyapps.io/admin/#/dashboard.
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```{r}
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# Use https://github.com/maxconway/gsheet
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library(gsheet)
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# Pull Google sheet locations from another file (journal1, journal2, etc.)
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source("config.R")
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# Combine bank accounts
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journal<-rbind(journal1,journal2)
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## Clean up
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# Date is date
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journal$Date<-as.Date(journal$Date,format="%m/%d/%Y")
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# Replace empty classes and accounrs
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journal$Class[journal$Class==""]<-c("unclassified")
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journal$Account[journal$Account==""]<-c("unclassified")
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# Class, Accounts are factors
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journal$Class<-as.factor(journal$Class)
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journal$Account<-as.factor(journal$Account)
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# Empty class should be NA
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# Debit and Credit are numeric, without commas
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journal$Debit<-as.numeric(sub(",","",journal$Debit))
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journal$Credit<-as.numeric(sub(",","",journal$Credit))
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## Temp function location
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# TODO learn where to store functions
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########## net() function, takes journal, class name(s), and date range as arguments
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net<-function(journ,classselect="all",accselect="all",dates="all"){
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if("all" %in% classselect) {
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classselect<-levels(journ$Class)
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}
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if("all" %in% accselect) {
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accselect<-levels(journ$Account)
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}
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if("all" %in% dates) {
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dates<-c(min(journ$Date),max(journ$Date))
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}
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net<-sum(journ$Credit[journ$Class %in% classselect & journ$Account %in% accselect & journ$Date>=dates[1] & journ$Date<=dates[2]],
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na.rm=T)-sum(journ$Debit[journ$Class %in% classselect & journ$Account %in% accselect & journ$Date>=dates[1] & journ$Date<=dates[2]],
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na.rm=T)
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return(net)
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}
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##########
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########## Net table by class
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net.class<-function(journ,
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classselect="all",
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accselect="all",
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dates="all",
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total=F) {
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# List of classes
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if("all" %in% classselect) {
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classselect<-levels(journ$Class)
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}
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# Set up data frame
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net.class.out<-data.frame(Class=character(),
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Net=numeric(),
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stringsAsFactors=FALSE)
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# Loop through classes, calculate net, and add to data frame
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for (i in 1:length(classselect)) {
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net.class.out[i,] <- c(classselect[i],
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net(journ,
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classselect=classselect[i],
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accselect=accselect,
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dates="all"))
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}
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# Add total net row
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if(total) {
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net.class.out[nrow(net.class.out)+1,]<-c("Total",net(journal))
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}
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return(net.class.out)
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}
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##########
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#work in progress
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########## Net table by account
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net.acc<-function(journ,
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classselect="all",
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accselect="all",
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dates="all",
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total=F) {
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# List of classes - need to do this here before passing to net()
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if("all" %in% accselect) {
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accselect<-unique(journ$Account)
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}
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# Set up data frame
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net.acc.out<-data.frame(Account=character(),
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Net=numeric(),
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stringsAsFactors=FALSE)
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# Loop through accounts, calculate net, and add to data frame
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for (i in 1:length(accselect)) {
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net.acc.out[i,] <- c(as.character(accselect[i]),
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net(journ,
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classselect=classselect,
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accselect=accselect[i],
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dates=dates))
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}
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# Sort by account name
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net.acc.out<-net.acc.out[order(net.acc.out$Account) , ]
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# Add total net row
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if(total) {
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net.acc.out[nrow(net.acc.out)+1,]<-c("Total",net(journal))
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}
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return(net.acc.out)
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}
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##########
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# See other reports in QB and Ledger
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``` |