Sorry for the late response. I was away for vacation and was unable to
keep on working on the codes.
Anyway, I was unable to provide *str* of that specific data since they
are all in a big package with lots of inputs/outputs. Quickly gazing
through the code, I narrowed them down (and made a ba
If you want the data in the first column of the dataframe, then you
should be using '[['. Notice what comes back in each of these cases:
> str(dat)
'data.frame': 8 obs. of 5 variables:
$ sample.1.200..n..TRUE.: int 25 199 70 124 93 157 49 137 192 57 ...
$ runif.n. : num 0.
Actually there are different ways of doing subsetting:
[1]
[[1]]
[,1]
$V1
Please let me know which one is the fastest (and most used) one. Thanks.
D.
On 12/30/10 11:28 AM, Duke wrote:
Hi Jim,
Is this really a problem for me to use [1] instead of [[1]]? Will this
make it run slower? Also, if
Hi Jim,
Is this really a problem for me to use [1] instead of [[1]]? Will this
make it run slower? Also, if I use dat$V1 %in% list$V1, will it be fine?
Anyway, my data and list are basically gene lists (tab delimited):
$ head test.txt
Xkr4chr1-3204562366157932061023661
You should be using dat[[1]]. Here is an example with 8 rows that
take about 0.02 seconds to get the subset.
Provide an 'str' of what your data looks like
> n <- 8 # rows to create
> dat <- data.frame(sample(1:200, n, TRUE), runif(n), runif(n), runif(n),
> runif(n))
> lst <- data.frame
Hi all,
First I dont have much experience with R so be gentle. OK, I am dealing
with a dataset (~ tens of thousand lines, each line ~ 10 columns of
data). I have to create some subset of this data based on some certain
conditions (for example, same first column with another dataset etc...).
H
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