Thanks Adai. You can tell by the clumsiness of my script that I am new
to R and to programming. After wrestling with it this morning, I found
that the following worked best:
pre.outliers<-subset(final.roi.df, gFDR4FWHM >= 1.96)
detach(final.roi.df)
attach(pre.outlie
Try changing
outliers <- subset(pre.outliers, gtvalue4FWHM >= 0.00)
to
w <- which( gtvalue4FWHM >= 0.00 )
outliers( length(w) > 0, pre.outliers[ w, ], NA )
Other comments:
1. Make sure you detach(data_gcs) at the end of the loops
2. scale() works on columns by default, so try
Hello-
I have a script which steps through a series of subjects, and for the
subjects I remove outlying values. After removing these outliers, I
specify a cutoff, keeping only values over a certain value (e.g., 1.96).
I want to populate a matrix with a statistic of the values that make the
cut
Xian -
I interpret this as a question about subscripting.
Read help("Subscript"), help("Control"). Perhaps
the roughly 40 page pdf document "An Introduction to R"
(or something like that) found under "Manuals" on the
R home page would be helpful in getting started.
I don't understand enough of
hello,
I would like to do a for loop for matrix:
Xm Xm-1 .. X1
Xm+1 Xm .. X2
...
.
Xn Xn-1.. Xn-m+1
How can I do it in R?
Thanks!!!
-
