head(bktst.plotdata)
date method product type actuals forecast residual Percent_error month
1 2012-12-31 bauwd CUSTM NET 194727.51 -8192.00 -202919.51 -104.21 Dec12
2 2013-01-31 bauwd CUSTM NET 470416.27 1272.01 -469144.26 -99.73 Jan13
3 2013-02-28 bauwd CUSTM NET 190943.57 -1892.45 -192836.02 -100.99 Feb13
4 2013-03-31 bauwd CUSTM NET -42908.91 2560.05 45468.96 -105.97 Mar13
5 2013-04-30 bauwd CUSTM NET -102401.68 358807.48 461209.16 -450.39 Apr13
6 2013-05-31 bauwd CUSTM NET -134869.73 337325.33 472195.06 -350.11 May13
I have been trying to plot my back test result using ggplot2
. Given above a sample dataset. I have dates ranging from Dec2012 to Jul2013. 3 levels in 'method', 5 levels in 'product' and 2 levels in 'type'
I tried this code, trouble is that R is not reading x-axis correct, on the X-axis I am getting 'Jan, feb, mar, apr, may,jun, jul, aug', instead I expect R to plot Dec-to-Jul
month.plot1 <- ggplot(data=bktst.plotdata, aes(x= date, y=Percent_error, colour=method))
facet4 <- facet_grid(product~type,scales="free_y")
title3 <- ggtitle("Percent Error - Month-over-Month")
xaxis2 <- xlab("Date")
yaxis3 <- ylab("Error (%)")
month.plot1+geom_line(stat="identity", size=1, position="identity")+facet4+title3+xaxis2+yaxis3
# Tried changing the code to this still not getting the X-axis right
month.plot1 <- ggplot(data=bktst.plotdata, aes(x= format(date,'%b%y'), y=Percent_error, colour=method))
month.plot1+geom_line(stat="identity", size=1, position="identity")+facet4+title3+xaxis2+yaxis3