I think I got this right, but then I have been wrong before to quote Lt Gordan. 
mydata<-read.csv("S:\\CIU\\Testfolder\\turnover.csv") # import the data
> str(mydata)
'data.frame':60 obs. of 4 variables:
$ Month : chr "7/1/2015" "8/1/2015" "9/1/2015" "10/1/2015" ...
$ Turnover : num 0.04 0.03 0.02 0.03 0.05 0.02 0.03 0.02 0.08 0.02 ...
$ Rehab.Rate : num 0.33 0.42 0.35 0.38 0.36 0.45 0.42 0.4 0.38 0.37 ...
$ Unemployment.Rate: num 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 ...
mydata2$Month<-as.Date(mydata$Month, format="%m/%d/%Y") # change my data to have month be a date
> str(mydata2)
'data.frame':60 obs. of 4 variables:
$ Month : Date, format: "2015-07-01" "2015-08-01" "2015-09-01" ...
$ Turnover : num 0.04 0.03 0.02 0.03 0.05 0.02 0.03 0.02 0.08 0.02 ...
$ Rehab.Rate : num 0.33 0.42 0.35 0.38 0.36 0.45 0.42 0.4 0.38 0.37 ...
$ Unemployment.Rate: num 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 ...
> tsdata=ts(mydata2,start=c(2015,7),frequency=12) # convert it to time series. It is monthly and starts July 2015
> str(tsdata)
Time-Series [1:60, 1:4] from 2016 to 2020: 16617 16648 16679 16709 16740 ... #I don't understand any of this
- attr(*, "dimnames")=List of 2
..$ : NULL
..$ : chr [1:4] "Month" "Turnover" "Rehab.Rate" "Unemployment.Rate"
> tsdata
Month Turnover Rehab.Rate Unemployment.Rate # this looks right.
Jul 2015 16617 0.04 0.33 0.05
Aug 2015 16648 0.03 0.42 0.05
Sep 2015 16679 0.02 0.35 0.05
Oct 2015 16709 0.03 0.38 0.05
mydata<-read.csv("S:\\CIU\\Testfolder\\turnover.csv") # import the data
> str(mydata)
'data.frame':60 obs. of 4 variables:
$ Month : chr "7/1/2015" "8/1/2015" "9/1/2015" "10/1/2015" ...
$ Turnover : num 0.04 0.03 0.02 0.03 0.05 0.02 0.03 0.02 0.08 0.02 ...
$ Rehab.Rate : num 0.33 0.42 0.35 0.38 0.36 0.45 0.42 0.4 0.38 0.37 ...
$ Unemployment.Rate: num 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 ...
mydata2$Month<-as.Date(mydata$Month, format="%m/%d/%Y") # change my data to have month be a date
> str(mydata2)
'data.frame':60 obs. of 4 variables:
$ Month : Date, format: "2015-07-01" "2015-08-01" "2015-09-01" ...
$ Turnover : num 0.04 0.03 0.02 0.03 0.05 0.02 0.03 0.02 0.08 0.02 ...
$ Rehab.Rate : num 0.33 0.42 0.35 0.38 0.36 0.45 0.42 0.4 0.38 0.37 ...
$ Unemployment.Rate: num 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 ...
> tsdata=ts(mydata2,start=c(2015,7),frequency=12) # convert it to time series. It is monthly and starts July 2015
> str(tsdata)
Time-Series [1:60, 1:4] from 2016 to 2020: 16617 16648 16679 16709 16740 ... #I don't understand any of this
- attr(*, "dimnames")=List of 2
..$ : NULL
..$ : chr [1:4] "Month" "Turnover" "Rehab.Rate" "Unemployment.Rate"
> tsdata
Month Turnover Rehab.Rate Unemployment.Rate # this looks right.
Jul 2015 16617 0.04 0.33 0.05
Aug 2015 16648 0.03 0.42 0.05
Sep 2015 16679 0.02 0.35 0.05
Oct 2015 16709 0.03 0.38 0.05