Your example is not reproducible. I recommend using the reprex package to get
your examples in shape.
You don't have to have NA in your data to encounter a problem... all you need
is transformations during your analysis that runs into domain violations to
create NA along the way... negative num
Thanks for helping thanoon.
I used the if() {
} else {
.
}
and it worked better
On 9 February 2016 at 15:56, thanoon younis
wrote:
> Hi,
>
> Try to check the function only
> if (runif
Hi all,
I'm trying to write a function to implement a Metropolis-within-Gibbs
algorithm for two parameters.I'm including a naive version here so as to be
able to spot the error I got. So I first generate the vectors, X and R,
that will help to start the algorithm using (for example):
n=8; m=5; p=
Given that the maximum floating point value is:
$double.xmax
[1] 1.797693e+308
and the number you are trying to calculate is 5E323 you are exceeding
the size of numbers you can process.
Have a happy holiday and glad I could help.
On Fri, Dec 23, 2011 at 11:24 AM, Michael Pearmain
wrote:
> Tha
Apologies, I was using top = 0.0001
I had looked at browser and did show notconverged = NA. But I couldn't
understand why it worked for one and not the other?
On Friday, 23 December 2011, jim holtman wrote:
> Does this look similar to the error you are getting:
>
>> while(NA == TRUE) 1
> Erro
Does this look similar to the error you are getting:
> while(NA == TRUE) 1
Error in while (NA == TRUE) 1 : missing value where TRUE/FALSE needed
SO 'notconverged' is probably equal to NA. BTW, what is the value of
'tol'; I do not see it defined. So when computing 'notconverged' you
have generat
Merry Xmas to all,
I am writing a function and curiously this runs sometimes on one data set
and fails on another and i cannot figure out why.
Any help much appreciated.
If i run the code below with
data <- iris[ ,1:4]
The code runs fine, but if i run on a large dataset i get the following
error
To answer the actual question, your i and j indices are not what you expect (but are what
you specify).
Consider the following, which follows your algorithm:
> vector1 <- sample(1:100,2)
> vector2 <- sample(1:100,2)
> for (i in vector1) {
+ for (j in vector2) {
+ show(c(i, j))
+ }
+ }
[
They may be the same length; that's not what the error message is
complaining about: it says there is a missing value (i.e., an NA) where
a TRUE/FALSE value is needed, therefore the 'if' doesn't know what to
do, since it is not TRUE or FALSE. So, try
summary(vector1)
summary(vector2)
sum(is.
It would be useful to learn how to use debug/browser. Here is the
state of the machine when the error occurs:
> test()
Error in if (vector1[i] == vector2[j]) { :
missing value where TRUE/FALSE needed
Enter a frame number, or 0 to exit
1: test()
Selection: 1
Called from: eval(expr, envir, enc
is this what you want?
> vector1
[1] 65 1 34 100 42 20 79 43 89 10
> vector2
[1] 34 65 47 91 48 32 23 74 92 86
>
> for (i in 1:10) {
+ for (j in 1:10) {
+ if (vector1[i] == vector2[j])
+ show(c(i,j))
+ }
+ }
[1] 1 2
[1] 3 1
On Sat, Nov 8, 2008
Hello dear R people,
for my MSc thesis I need to program some functions, and some of them
simply do not work. In the following example, I made sure both vectors
have the same length (10), but R gives me the following error:
Error in if (vector1[i] == vector2[j]) { :
missing value where TRUE
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