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/>
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And you should read the Posting Guide and correct your posting format.
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