Josh,
thanks so much for your detailed reply. This is exactly what I was looking
for.
--
View this message in context:
http://r.789695.n4.nabble.com/Using-changing-names-in-loop-in-R-tp3030132p3031899.html
Sent from the R help mailing list archive at Nabble.com.
_
A more detailed example:
Say I would like to read in data files that are set-up identically and have
identical (but somewhat) different text names (see below):
data_1 <- read.csv("data1.txt")
data_2 <- read.csv("data2.txt")
data_3 <- read.csv("data3.txt")
How do I automate this process?
(I ass
Hello everybody,
I have usually solved this problem by repeating lines of codes instead of a
loop, but it's such a waste of time, I thought I should really learn how to
do it with loops:
What I want to do:
Say, I have several data files that differ only in a number, e.g. data
points (or vector
Thanks for the swift replies.
I have found this to work for my purpose:
data <- subset(X, !duplicated(X[,3])
--
View this message in context:
http://n4.nabble.com/Deleting-rows-based-on-duplicate-entries-in-one-columns-in-a-data-matrix-tp1018110p1018126.html
Sent from the R help mailing list
Hi everybody,
I would like to delete rows based on duplicate entries in column 3 in the
data matrix X (size 6 x 57). I have tried the unique(x) command as
> data <- X[unique(X[,3]),]
however, for some reason the command introduces a lot of NA's into the
dataset.
So, now I'm looking for a
5 matches
Mail list logo