Thanks a lot for your answers, Dennis and Bernhard!
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Dear Users, please help with the following DF test:
=
library(tseries)
library(timeSeries)
Y=c(3519,3803,4332,4251,4661,4811,4448,4451,4343,4067,4001,3934,3652,3768
,4082,4101,4628,4898,4476,4728,4458,4004,4095,4056,3641,3966,4417,4367
,4821,5190,4638,4904,4528,4383,4339,4327,3856,4072,4563,4
Thanks David. grid graphic works pretty well.
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I appreciate all you help. This is only for instructional purpose:
A = matrix(c(0,1,1,-2,-3,1,2,-1,0,2,2,4,1,-3,-2,1,-4,-7,-1,-19), ncol=5,
byrow=T)
B =matrix(sample(c(0,1,1,-2,-3,1,2,-1,0,2,2,4,1,-3,-2,1,-4,-7,-1,-19),),
ncol=5, byrow=T)
Which print func( A, B, A+B) can print the resulting m
try:
?pbinom
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Thank you very much, David;
for row swapping: R2<==>R3
> A=diag(1:4)
> A
[,1] [,2] [,3] [,4]
[1,]1000
[2,]0200
[3,]0030
[4,]0004
> A1=A[c(1,3,2,4),]
> A1
[,1] [,2] [,3] [,4]
[1,]1000
[2,]0030
Thank all help help. Ted's intuitive single step definition is what I want.
I try to teach elementary Linear Algebra using R to manupilate matrices.
Since my students have no programming experience at all, any fancy and
muliple step definition in matrix row operation will confuse them. Again, I
a
Thanks for respose.
you still used two steps to get the new matrix tst2:
step 1: tst2 = tst
step 2: perform the row operation in tst2.
Can you do this in a single step?
A similar example:
> tst
[,1] [,2] [,3] [,4]
[1,]159 13
[2,]26 10 14
[3,]37 11
Is this what you want?
x=rnorm(10)
y1=0.5*rnorm(10)+0.5*rexp(10)
y2=0.5*rnorm(10)+0.5*runif(10)
xlimit=range(x)
ylimit=range(c(y1,y2))
plot(x,y1,pch="1",col=2,xlim=xlimit, ylim=ylimit, ylab="Y", xlab="X",
cex=0.7)
points(x,y2,pch="2", col=4,cex=0.7)
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Thanks for constrctive comments. I was very careful when I wrote the code. I
wrote many functions and then wrapped up to get a single function.
Originally, I used optim() to get MLE, it was at least 10 times slower than
the code based on Newton method. I also vectorized all objects whenever
possib
Dear All,
I have an issue on memory use in R programming.
Here is the brief story: I want to simulate the power of a nonparameteric
test and compare it with the existing tests. The basic steps are
1. I need to use Newton method to obtain the nonparametric MLE that involves
the inversion of a l
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