I have a text (csv) file) with two columns: dates and numeric measurements.
I read it using read.table and the dates get read as a factor, with as many
levels as there are dates in the data. How can I create a matrix-like data
structure (data frame?) which has one column of real dates (a vector of
dates, not a factor variable) and one column of the numeric measurements?
The strptime function converts the data into dates, but the naïve
foo <- read.table(
) # foo is a 2-column data
frame with the first column a factor (of dates) and the second column a
return vector
foo.dates <- strptime(fool[,1], format)
cbind(foo.dates, foo[,2])
does not work (because foo.dates is not a vector) and produces a wrong
dimension error:
Warning message:
In cbind(foo.dates, foo[,2]) :
number of rows of result is not a multiple of vector length (arg 1)
I am sure this is a very basic question on types, but I have spent hours on
this without much luck. Any ideas/suggestions would be greatly welcome.
Thank you in advance.
Achilles Venetoulias
Tel: (212) 988-2276
axill...@stanfordalumni.org
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