On Mar 21, 2011, at 2:59 PM, Tóth Dénes wrote:
Hi,
I guess you have commas as decimals in your data. Replace it to
decimal
points.
If that is true then the easiest fix would be to set the proper
decimal argument in read.table
?read.table # with ... , dec = "," ,
--
david.
Best,
Denes
On Mar 21, 2011, at 1:57 PM, pat...@gmx.de wrote:
Hi list,
I have problems with the as.numeric function. I have imported
probabilities from external data, but they are classified as factors
as str() shows. Therefore my goal is to convert the colum from
factor to numeric level with keeping the decimals.
I have googled the problem for a while now and kept to several
advices like
http://cran.r-project.org/doc/FAQ/R-FAQ.html#How-do-I-convert-factors-to-numeric_003f
and history from the list but it is impossible for me to convert
the data to numeric without rounding or ranking the values.
Are you sure about rounding? The console display of numbers is
determined by options that can be changed:
?options
The "ranking" may represent an error on your part. You offer nothing
that can be used to check your interpretations. Why not offer:
dput(head(data_object))
E.g.:
Simply using as.numeric puts the values into ranked classes as
explained in the manual,
As.numeric(as.character(probas)) as well as as.numeric(levels(probas
$forecast_probs))[as.integer(probas$forecast_probs)]
return “NA” for every row.
Then maybe they were NA to begin with?
Have you tried importing with colClasses set to "numeric" for the
columns you knew to be such?
--
David Winsemius, MD
Heritage Laboratories
West Hartford, CT
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David Winsemius, MD
Heritage Laboratories
West Hartford, CT
______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
