getZ: Z-statistic
In emunozh/testmsim: What the package does (short line)
Description
Usage
Arguments
Value
Examples
Description
The Z-statistic aims to describe the performance of the individual
characteristics of the population used as constrains in the simulation.
r = \frac{\hat{t}x}{∑ Tx}
p = \frac{Tx}{∑ Tx}
Z = \frac{r-p}{√{p\times≤ft(1-p\right)\div∑ Tx}}
Usage
1
getZ(observed, simulated)
Arguments
observed
observed marginal sums
simulated
simulated marginal sums
Value
Z-statistic
Examples
1
2
emunozh/testmsim documentation built on May 16, 2019, 5:11 a.m.
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Description Usage Arguments Value Examples
Description
The Z-statistic aims to describe the performance of the individual characteristics of the population used as constrains in the simulation.
r = \frac{\hat{t}x}{∑ Tx} p = \frac{Tx}{∑ Tx} Z = \frac{r-p}{√{p\times≤ft(1-p\right)\div∑ Tx}}
Usage
1 | getZ(observed, simulated)
|
Arguments
observed |
observed marginal sums |
simulated |
simulated marginal sums |
Value
Z-statistic
Examples
1 2 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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