Hi dear R-users,
I encountered an interesting pattern. Take for example the function
combn(), I copied and pasted the function definition and saved it as a new
function named combn2() (see the end of this email). As it turned out,
combn2() seems to be substantially slower than the original functio
That's a good one, Using cumsum + rowsum would definitely be faster,
On Tue, May 21, 2013 at 6:40 AM, José Verhoeven wrote:
> Thank you, that really worked. Actually received an even shorter version:
>
>
> rowSums((t(apply(D > 0, 1, cumsum)) <= 3) * D)
>
>
>
&
)
#add a right parenthesis.
mat
On Tue, May 21, 2013 at 3:47 AM, Xiao He wrote:
> Does this work? Probably not the fastest, but I think it does the job.
>
> foo<-function(x){
> temp=x[x>0]
> if(length(temp)>=3) sum(temp[1:3])
> else sum(temp)
>
> set.seed(2)
Does this work? Probably not the fastest, but I think it does the job.
foo<-function(x){
temp=x[x>0]
if(length(temp)>=3) sum(temp[1:3])
else sum(temp)
set.seed(2)
mat<-matrix(sample(0:4, 25, replace=T, prob=c(1/2,rep(1/8,4)), ncol=5)
mat
# [,1] [,2] [,3] [,4] [,5]
#[1,]012
Dear R-users:
Hi, I read here (
http://stackoverflow.com/questions/2287616/controlling-digits-in-r) that R
is only accurate up to the 15th decimal place, despite the fact that if you
choose to display more decimal places, it will. I wonder if R uses the
information beyond the 15th decimal place in
Dear R users,
I posted a couple of questions and got no response, so I am giving it
another shot.
I ran an experiment with a TWO-WAY within subject design. A sample dataset
is in http://www-scf.usc.edu/~hex/data.txt
I already ran ANOVA by using the following formula:
aov(RT~Factor1*Factor2 + Er
Sorry, that in the last message the tables were messed up. Here is a link to
the tables http://www-scf.usc.edu/~hex/data.txt
<http://www-scf.usc.edu/~hex/data.txt>Thanks!
On Sun, Jun 6, 2010 at 10:18 AM, Xiao He wrote:
> Dear R people,
>
> I have a couple of questions about po
Dear R people,
I have a couple of questions about post-doc analyses for 2 by 2 within
subjects ANOVA. I conducted a psycholinguistic study that combined a 2 by 2
design and a latin square design. Specifically, I had 32 items each of which
generated 4 conditions. Participants saw each of the 32 ite
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