Please check the following pdf file.
http://tw.nextmedia.com/applenews/article/art_id/32119622/IssueID/20091127
1. First install.packages("Flury")
2. library(Flury")
3. data("wines")
'wines’ is a data frame with 26 observations, one factor denoting the
country of origin and 15
quantitative variables denoting 15 free monoterpenes and
C[13]-norisoprenoids. It is thought these
influence the wine’s aroma.
Country a factor with levels South Africa Germany Italy
Y1 a numeric vector
Y2 a numeric vector
Y3 a numeric vector
Y4 a numeric vector
Y5 a numeric vector
Y6 a numeric vector
Y7 a numeric vector
Y8 a numeric vector
Y9 a numeric vector
Y10 a numeric vector
Y11 a numeric vector
Y12 a numeric vector
Y13 a numeric vector
Y14 a numeric vector
Y15 a numeric vector
If you do not know how to get these value, you can read ``R introduction''.
I hope this can help you.
Guo-Hao
Huang
--------------------------------------------------
From: "Brock Tibert" <btibe...@yahoo.com>
Sent: Friday, November 27, 2009 12:46 PM
To: <r-help@r-project.org>
Subject: [R] Learning R - View datasets
Hi All,
I am making a serious effort to try to learn R, but one hurdle I am facing
is that I need to "see" the data as I walk through the examples in the
packages. For instance, many examples on the web start by a command like
data("wines"). How can I actually view what the dataset looks like prior to
transformations and analysis? I have tried to use edit() , print, and head.
In short, I know that data() lists all of the available datasets,
data("wines") will load the dataset wines, but how can I look at the raw
data?
I figure this is probably an easy question, but any help you can provide
will be greatly appreciated.
Thanks,
Brock
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
