55 lines
1.6 KiB
Plaintext
55 lines
1.6 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$Date,format="%m/%d/%Y")
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# Class is a factor
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journal$Class<-as.factor(journal$Class)
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# Debit and Credit are numeric, without commas
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journal$Debit<-as.numeric(sub(",","",journal$Debit))
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journal$Credit<-as.numeric(sub(",","",journal$Credit))
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## Temp function location
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# All time net, takes journal as an argument
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net.calc<-function(journ){
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net<-sum(journ$Credit,na.rm=T)-sum(journ$Debit,na.rm=T)
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return(net)
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}
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# Net by class and date range
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# TODO should be function that uses the net function above
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classes<-levels(journal$Class)
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net.byclass<-data.frame(Class=character(),
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Net=numeric(),
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stringsAsFactors=FALSE)
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for (i in 1:length(classes))
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{ net.byclass[i,] <- c(as.character(classes[i]),
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sum(journal$Credit[journal$Class==classes[i]],
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na.rm=T)-sum(journal$Debit[journal$Class==classes[i]],
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na.rm=T))
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}
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# See other reports in QB and Ledger
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``` |