[R] Time Series Data

[Bill Vedder]

Happy Holidays All,

I'm trying to use stl() to extract a seasonal component from a time
series. I believe the root cause of my problem lies in how I imported
the data into R.

In Excel (csv), the data look like:
            Jan     Feb    Mar    ....
1949    12.2    9.0    7.9     ....
1950    17.2    16.9  9.9    ....
1951    8.2       7.0    7.7    ....

I import to R using:
a<-read.csv("d:/programs/r/airpass.csv",header=TRUE, sep = ",")

then I try to coerce a to a .ts object using:
> a.ts<- as.ts(a)

but get the following error:
Error in dimnames<-.data.frame(*tmp*, value = list(NULL, names)) :
        invalid dimnames given for data frame

I have tried everything (except what works).  When I do:

> mode(a)

R returns:
[1] "list"

Other things I've done show me that R is treating the columns as
separate variables.

How do I specify to R that I want the csv data read as a single,
univariate times series sampled once/month over many years?

Any  help is much appreciated.

Best,
Bill Vedder





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