chisq.ppow: Compute the power using a chi-squared test by bootstrapping...
In julianje/mcpa: Intuitive power analyses through monte carlo simulations
Description
Usage
Arguments
Value
See Also
Examples
Description
chisq.ppow computes (via simulation) the power of an experiment that will be analyzed using a chi-square test by bootstrapping pilot data.
This function directly calls chisq.pow but is included to maintaing consistency with other power functions in the package.
Usage
1
chisq.ppow(x, y = NULL, n, r = 10000, alpha = 0.05, conf.level = 0.95)
Arguments
x
a list containing count data of pilot observations.
y
an optional list with the count observations of a second group.
n
sample size.
r
number of simulations to compute power.
alpha
significance threshhold.
conf.level
size of confidence intervals.
Value
The probability of finding p < α with the experiment description.
See Also
chisq.pow, chisq.ppow, chisq.explore, and chisq.pexplore.
Examples
1
2
chisq.ppow(x=c(3, 5, 2), n=32) # Chi-squared distribution against chance with 32 observations.
chisq.ppow(x=c(2, 2, 2), y=c(8, 14, 1)) # Compare both group with 16 observations in each group.
julianje/mcpa documentation built on May 13, 2019, 6:14 p.m.
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Description Usage Arguments Value See Also Examples
Description
chisq.ppow computes (via simulation) the power of an experiment that will be analyzed using a chi-square test by bootstrapping pilot data.
This function directly calls chisq.pow but is included to maintaing consistency with other power functions in the package.
Usage
1 | chisq.ppow(x, y = NULL, n, r = 10000, alpha = 0.05, conf.level = 0.95)
|
Arguments
x |
a list containing count data of pilot observations. |
y |
an optional list with the count observations of a second group. |
n |
sample size. |
r |
number of simulations to compute power. |
alpha |
significance threshhold. |
conf.level |
size of confidence intervals. |
Value
The probability of finding p < α with the experiment description.
See Also
chisq.pow, chisq.ppow, chisq.explore, and chisq.pexplore.
Examples
1 2 | chisq.ppow(x=c(3, 5, 2), n=32) # Chi-squared distribution against chance with 32 observations.
chisq.ppow(x=c(2, 2, 2), y=c(8, 14, 1)) # Compare both group with 16 observations in each group.
|
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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