Displaying 7 results from an estimated 7 matches for "ran1".
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2005 Feb 23
1
How to conctruct an inner grouping for nlme random statement?
Hello. Im hoping someone can help with a grouping
question related to the "random=" statement within the
nlme function. How do you specify that some grouping
levels are inner to others? I tried several things,
given below.
Lets say I have a data frame with five variables,
resp, cov1, ran1, ran2, group1, and group 2. The
formula is resp~cov1 + ran1 + ran2, where the ran are
random variables. The data is of length 80, and there
are 4 unique factors in group1 and 20 unique factors
in group2. These are factors related to ran1 and
ran2, respectively.
The difficult part is that I wa...
2012 Mar 22
2
Randomly select elements based on criteria
Hi,
I want to randomly pick 2 fish born the same day but I need those
individuals to be from different families. My table includes 1787 fish
distributed in 948 families. An example of a subset of fish born in one
specific day would look like:
>fish
fam born spawn
25 46 43
25 46 56
26 46 50
43 46 43
131 46 43
133 46 64
136 46 43
136 46 42
136 46 50
136 46 85
137 46 64
142 46 85
144 46 56
2018 Mar 04
2
Random Seed Location
...ese type of random needs where true random
properties are non-critical. This type of
"draw-a-random-number-and-reset-the-seed" is for instance used in
parallel:::initDefaultClusterOptions() which is called when the
'parallel' package is loaded:
seed <- .GlobalEnv$.Random.seed
ran1 <- sample.int(.Machine$integer.max - 1L, 1L) / .Machine$integer.max
port <- 11000 + 1000 * ((ran1 + unclass(Sys.time()) / 300) %% 1)
if(is.null(seed)) ## there was none, initially
rm( ".Random.seed", envir = .GlobalEnv, inherits = FALSE)
else # reset
assign(".Random.seed",...
2018 Mar 04
0
Random Seed Location
...random
> properties are non-critical. This type of
> "draw-a-random-number-and-reset-the-seed" is for instance used in
> parallel:::initDefaultClusterOptions() which is called when the
> 'parallel' package is loaded:
>
> seed <- .GlobalEnv$.Random.seed
> ran1 <- sample.int(.Machine$integer.max - 1L, 1L) / .Machine$integer.max
> port <- 11000 + 1000 * ((ran1 + unclass(Sys.time()) / 300) %% 1)
> if(is.null(seed)) ## there was none, initially
> rm( ".Random.seed", envir = .GlobalEnv, inherits = FALSE)
> else # reset
> assign(...
2018 Mar 05
1
Random Seed Location
...are non-critical. This type of
>> "draw-a-random-number-and-reset-the-seed" is for instance used in
>> parallel:::initDefaultClusterOptions() which is called when the
>> 'parallel' package is loaded:
>>
>> seed <- .GlobalEnv$.Random.seed
>> ran1 <- sample.int(.Machine$integer.max - 1L, 1L) / .Machine$integer.max
>> port <- 11000 + 1000 * ((ran1 + unclass(Sys.time()) / 300) %% 1)
>> if(is.null(seed)) ## there was none, initially
>> rm( ".Random.seed", envir = .GlobalEnv, inherits = FALSE)
>> else # re...
2018 Mar 04
0
Random Seed Location
Thank you, everybody, who replied! I appreciate your valuable advise! I will move the location of the set.seed() command to after all packages have been installed and loaded.
Best regards,
Gary
Sent from my iPad
> On Mar 4, 2018, at 12:18 PM, Paul Gilbert <pgilbert902 at gmail.com> wrote:
>
> On Mon, Feb 26, 2018 at 3:25 PM, Gary Black <gwblack001 at sbcglobal.net>
>
2018 Mar 04
3
Random Seed Location
On Mon, Feb 26, 2018 at 3:25 PM, Gary Black <gwblack001 at sbcglobal.net>
wrote:
(Sorry to be a bit slow responding.)
You have not supplied a complete example, which would be good in this
case because what you are suggesting could be a serious bug in R or a
package. Serious journals require reproducibility these days. For
example, JSS is very clear on this point.
To your question
>