You could use the strapply function from the gsubfn package to extract the
data from strings. This will return a list that you could use with
do.call(rbind(
The stringr package may have something similar or an alternative (but I am
less familiar with that package).
On Thu, Jan 17, 2013 at 9:21 PM, Frank Singleton <b17fly...@gmail.com>wrote:
> Hi,
>
> Thanks for a great environmentfor statistical computing :-)
>
> I have some input data in a file ("input_kvpairs.csv") of the form
>
> key1=23, key2=67, key3="hello there"
> key1=7, key2=22, key3="how are you"
> key1=2, key2=77, key3="nice day, thanks"
>
> Now in my head I wish it was of the form ("input.csv")
>
> #key1, key2, key3
> 23, 67, "hello there"
> 7, 22, "how are you"
> 2, 77, "nice day, thanks"
>
> so I could do
>
> data <- read.csv("input.csv", header=TRUE)
>
> where the header column names are derived from the key names dynamically,
> and I could access the data using normal data$key1 or data$key2 mechanism.
>
> I guess I could just pre process the file first using python etc to create
> a CSV file with column header derived from key names, and values derived
> from
> key values, but I am interested to see how experienced R folks would
> handle this
> inside R.
>
> Thanks,
>
> Frank
>
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>
--
Gregory (Greg) L. Snow Ph.D.
538...@gmail.com
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