Thanks everyone for your helpful responses. I looked at the csv file in a
text editor and saw no spaces or non-numerical characters (other than
periods as decimals) outside of the header. str() says me that the
variables are either num or int.
David was spot-on; I was trying
storage.mode(~miles)
[1] language
instead of
storage.mode(hikes$miles)
[1] double
The fault was in my grasp of R's syntax, not the data.
Thanks!
On Wed, May 2, 2012 at 10:09 AM, David Winsemius dwinsem...@comcast.netwrote:
On May 1, 2012, at 8:47 PM, Eve Proper wrote:
I am a raw novice to R, playing around with a mini .csv dataset created in
Excel. I can read it in and the data looks OK in Excel and upon initial
inspection in R:
hikes - read.csv(/Users/eproper/**Desktop/hikes.csv, header=TRUE)
print(hikes)
does exactly what it is supposed to do.
Two of the variables are genuine strings, but the others ought to be
numeric, and R will calculate their min, max etc. However, is.numeric
returns FALSE for all of them;
How did you do this? What code did you use? It should have been:
lapply(hikes, is.numeric)
storage.mode returns language.
Well, that suggests that you were trying to use unquoted variable names
without the data objects name. Did you use attach() on the basis of some
misguided instructions?
as.numeric
returns Error: 'pairlist' object cannot be coerced to type 'double'. In
what I suspect is a related problem, any command that calls for a variable
name requires an initial ~ to work. That is, instead of plot(miles) I have
to use plot(~miles).
As I said, you are not correctly referencing column names within data
objects.
No doubt there is some very elementary mistake I am making, but I can't
figure it out. Any help would be appreciated.
http://theturducken.blogspot.**com/ http://theturducken.blogspot.com/
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And you should read the Posting Guide and correct your posting format.
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Heritage Laboratories
West Hartford, CT
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