I want to plot the data as a time series (quarterly) but the plot keeps treating the dates as Data not labels or time?
Trying to keep my initial exercise very simple, (have more complex stuff to get on with, it would be a snap with Excel or even GDocs!) I am reading a very small table from csv (using read.csv) as
This is the display for Corl (my data in r)
    Date Survey Actual
1 2011-06-30     60     NA
2 2011-03-31     55     50
3 2010-12-31     48     44
4 2010-09-30     48     36
5 2010-06-30     56     75
6 2010-03-31     57     41
I tried to convert to date using Corl$Date <- as.Date(Corl$Date) but no difference.
I have used both plot(Corl) and plot.ts(Corl)
I'll then want to run correlate and auto correlate but I seem to be missing a basic concept for the data structure?
I also tried inverting the columns and rows,
      V1         V2         V3         V4         V5         V6
1   Date 2010-03-31 2010-06-30 2010-09-30 2010-12-31 2011-03-31
2 Survey         57         56         48         48         55
3 Actual         41         75         36         44         50
      V7
1 2011-06-30
2         60
3           
dput(Corl)
structure(list(Date = structure(c(15155, 15064, 14974, 14882, 
14790, 14699), class = "Date"), Survey = c(60L, 55L, 48L, 48L, 
56L, 57L), Actual = c(NA, 50L, 44L, 36L, 75L, 41L)), .Names = c("Date", 
"Survey", "Actual"), row.names = c(NA, -6L), class = "data.frame")
Plot as follows:

 
    

