Maybe I'm missing something, but after reading the reshape package, I'm still
not quite sure how reshaping the data will help me with storing the
previously used samples and preventing me from selecting previously used
samples in the future.
This is my pseudo code thought process, but I'm not s
sample(data, 3, replace=FALSE)[,-1:2]
or
sample(data, 3, replace=FALSE)[,-c("id","pID50")]
Tyler
On Wed, Jul 14, 2010 at 1:17 PM, Addi Wei [via R] <
ml-node+2289092-1912443153-77...@n4.nabble.com
> wrote:
> id pID50 apol a_acca_acid a_aro a_base a_count
> 1 mol.11 3.63
I would use "melt" from the reshape package so that "sample" could be used,
rather than trying to process various selections of columns from a wide
data.frame.
"Addi Wei" wrote:
>
>Sorry to post multiple questions, but this is still related to the sample
>function.
>
>In my previous example, h
Sorry to post multiple questions, but this is still related to the sample
function.
In my previous example, how do I save/store the current sample so when I run
sample again (after analysis) I can exclude the samples that were previously
chosen.
For example if I have 180 factors or columns...an
On Wed, Jul 14, 2010 at 10:24 AM, Federico Andreis
wrote:
> I guess you could just use as an argument to sample
>
> data[,-c(1,2)]
>
> where 1 and 2 are id and pID50 column number
or if you do not know them and do not want to find out:
sample(data[ , - match(c("id", "x3"), names(data))], 3, repl
I guess you could just use as an argument to sample
data[,-c(1,2)]
where 1 and 2 are id and pID50 column number
On Wed, Jul 14, 2010 at 7:17 PM, Addi Wei wrote:
>
> id pID50 apol a_acca_acid a_aro a_base a_count
> 1 mol.11 3.63 -0.882267 -0.527967 -0.298197 -1.032380
id pID50 apol a_acca_acid a_aro a_base a_count
1 mol.11 3.63 -0.882267 -0.527967 -0.298197 -1.032380 0 -1.063410
2 mol.14 3.38 -1.007330 -0.527967 -0.298197 -1.032380 0 -1.063410
3 mol.19 3.18 1.153560 1.407910 -0.298197 1.254100 0 1.160080
4 mol.20
It's not really clear what the structure of your data is, nor how exactly you
are sampling it (you need to provide an example), but you could try adding
this to the end of your sample command (if the result is a data.frame or
matrix): [,-1]
Tyler
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http://r.789695
For example: When I take a sample of 5 from 10 columns, I want to exclude
from the sample column 1 from being chosen. How do I do this?
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