On May 4, 2012, at 4:22 PM, Petr Savicky wrote:
On Fri, May 04, 2012 at 07:43:32PM +0200, Kehl Dániel wrote:
Dear Petr,
thank you for your input.
I tried to experiment with (probably somewhat biased) truncated means
like in the following code.
How I got the 225 as a truncation limit is a
Dear Petr,
thank you for your input.
I tried to experiment with (probably somewhat biased) truncated means
like in the following code.
How I got the 225 as a truncation limit is a good question. :)
REPS1 - REPS2 - 1000
N1 - 10
N2 - 3
N - N1+N2
x1 - rep(0,N1)
x2 - rnorm(N2,300,100)
x -
On Fri, May 04, 2012 at 07:43:32PM +0200, Kehl Dániel wrote:
Dear Petr,
thank you for your input.
I tried to experiment with (probably somewhat biased) truncated means
like in the following code.
How I got the 225 as a truncation limit is a good question. :)
REPS1 - REPS2 - 1000
N1 -
Dear List-members,
I have a problem where I have to estimate a mean, or a sum of a
population but for some reason it contains a huge amount of zeros.
I cannot give real data but I constructed a toy example as follows
N1 - 10
N2 - 3000
x1 - rep(0,N1)
x2 - rnorm(N2,300,100)
x - c(x1,x2)
n
Although you have provided R code to illustrate your problem, it is
fundamentally a statistics theory question, and belongs somewhere else like
stats.stackexchange.net.
When you post there, I recommend that you spend more effort to identify why the
zeros are present. If they are indicators of
Dear Jeff,
thank you for the response.
Of course I know this is a theory question still I hope to get some
comments on it
(if somebody already dealt with alike problems might suggest a package
and it would not take longer than saying this is a theoretical question)
The values are counts, so 0
On Thu, May 03, 2012 at 03:08:00PM +0200, Kehl Dániel wrote:
Dear List-members,
I have a problem where I have to estimate a mean, or a sum of a
population but for some reason it contains a huge amount of zeros.
I cannot give real data but I constructed a toy example as follows
N1 -
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