Displaying 4 results from an estimated 4 matches for "proprtion".
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proportion
2010 Jan 04
1
Likelihood Ratio Tests
Is there any package available in R to do the following hypothesis tests?
Testing the means of two Poissons (equivalent to the difference of two
proportions)
Testing the equality of two proportions from binomials
Testing the equality of proprtions of two negative binomials
(both conditional and unconditional tests).
No large sample approximation tests...I need exact tests
Thanks,
Jim
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2019 Jan 31
2
Object.size() should not visit every element for alt-rep strings, or there should be an altstring_objectsize_method
Below is a toy alt-rep string example, that generates N random strings:
https://gist.github.com/traversc/a48a504eb062554f2d6ff8043ca16f9c
example:
`x <- altrandomStrings(1e8)`
`head(x)`
[1] "2PN0bdwPY7CA8M06zVKEkhHgZVgtV1" "5PN2qmWqBlQ9wQj99nsQzldVI5ZuGX" ...
`object.size(1e8)`
Object.size will call the `set_altstring_Elt_method` for every single
element, materializing
2019 Jan 31
0
Object.size() should not visit every element for alt-rep strings, or there should be an altstring_objectsize_method
...ou should really take this up with RStudio. Calling object.size on
every top level assignment as they appear to do is a bad idea, even
without ALTREP. object.size is only a cheap operation for simple
atomic vectors. For anything with recursive sturcture it needs to walk
the object, so the effort is proprtional to object size:
> x <- rep("A", 1e8)
> system.time(object.size(x))
user system elapsed
1.222 0.624 1.850
> x <- rep(list(1), 1e8)
> system.time(object.size(x))
user system elapsed
1.247 0.022 1.273
The current help for object.size says...
2007 Mar 05
3
Mixed effects multinomial regression and meta-analysis
R Experts:
I am conducting a meta-analysis where the effect measures to be pooled
are simple proportions. For example, consider this data from
Fleiss/Levin/Paik's Statistical methods for rates and proportions (2003,
p189) on smokers:
Study N Event P(Event)
1 86 83 0.965
2 93 90 0.968
3 136 129 0.949
4 82 70 0.854
Total