, is there a way to use this dataGrid in the package lhs to get
latin hyper cube samples.
Thanking you
Prasanna
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Dear R helpers
I would like to know if the Ranking and Selection statistical
procedure has been implemented in R. I made a quick search in the R
packages list but I could not find it.
Thanks in advance
Prasanna
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Dear R helpers
I would like to know if the Ranking and Selection statistical
procedure has been implemented in R. I made a quick search in the R
packages list but I could not find it.
Thanks in advance
Prasanna
__
R-help@stat.math.ethz.ch mailing list
=0.8)
Thanks in advance
Prasanna
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tried axis() and log=x, but I am not getting the required output.
Thanks
Prasanna
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the signed difference between these two curves so that I will have only
one curve which shows the difference between these two curves?
Thanks
Prasanna
--
Prasanna BALAPRAKASH
IRIDIA, Université Libre de Bruxelles
50, Av. F. Roosevelt, CP 194/6
1050 Brussels
Belgium.
http://iridia.ulb.ac.be/~prasanna
)
Az - zoo(A[,2], A[,1])
Bz - zoo(B[,2], B[,1])
Cz - na.approx(merge(Az, Bz))
plot(Cz[,1] - Cz[,2])
On 11/25/05, Prasanna [EMAIL PROTECTED] wrote:
Dear Rs
I have two vectors A and B
where
A is
V1d
1 0.00010 1.123278
2 0.002186431 1.120448
3
Gabor:
The zoo lib. works perfectly for my problem. Thanks
On 11/26/05, Gabor Grothendieck [EMAIL PROTECTED] wrote:
In that case you will need to modify the last line to be:
plot(time(Cz), coredata(Cz[,1] - Cz[,2]), log = x, type = l)
On 11/25/05, Prasanna [EMAIL PROTECTED] wrote:
Thanks
(70,75,80,85,90,92,94,96,98,99), n=c(20,25,30,35,40)
but exaustive only with d=c(70,75,80,85,90,92,94,96,98,99). Therefore I
will have only 50+10 combinations not 100.
I need to have combination as shown below
1 nearest-neighbor 70 20
2 exaustive 70
3 nearest-neighbor 75 20
4 exaustive 75
60
Thanks
Prasanna
am getting
unexpected results. I need to see the following values:
p=0.750 .
1 1.323
2 2.773
3 4.108
Thanking you
Prasanna
Prasanna Balaprakash,
Université Libre de Bruxelles,
50, Av. F. Roosevelt, CP 194/6,
B-1050 Brussels,
Belgium
into the source code, I found that R uses
chi-sqaured distribution as below:
PVAL - pchisq(STATISTIC, PARAMETER, lower = FALSE)
but still I cant figure out why they are using this pschisq insted of dchisq.
Sorry I am wrong!!
Thanking you
truly
Prasanna
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