fx_PropTest_1p: Determine Alpha/Beta values for 1-sample Proportion Test
In crcastillo/DSTools: My Collection of Data Science Functions
Description
Usage
Arguments
Value
Description
This function takes a provided set of constraints for a one sample proportion test including a vector of test observation counts
and determines the number of observations (from the provided vector) required to surpass the provided Alpha and Beta thresholds.
Essentially, this is to combine both significance testing and power analysis.
Usage
1
fx_PropTest_1p(siglevel, betalevel, obs, alternative, nullp, altp)
Arguments
siglevel
The desired Alpha level, i.e. Type I Error - probability of a false positive
betalevel
The desired Beta level, i.e. Type II Error - probability of a false negative
obs
Vector of potential sample sizes
alternative
The method of determining a difference in provided proportions: "greater", "less", "two.sided"
nullp
The null hypothesis proportion
altp
The alternative hypothesis proportion
Value
A named list that includes: a data.frame with alpha, beta, and power values for the given vector of observations;
a plot that shows the aforementioned data.frame as well as the observation counts that meet the given alpha and beta
thresholds; the observation counts that meet the given alpha and beta thresholds.
crcastillo/DSTools documentation built on Nov. 4, 2019, 9:17 a.m.
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Description Usage Arguments Value
Description
This function takes a provided set of constraints for a one sample proportion test including a vector of test observation counts and determines the number of observations (from the provided vector) required to surpass the provided Alpha and Beta thresholds. Essentially, this is to combine both significance testing and power analysis.
Usage
1 | fx_PropTest_1p(siglevel, betalevel, obs, alternative, nullp, altp)
|
Arguments
siglevel |
The desired Alpha level, i.e. Type I Error - probability of a false positive |
betalevel |
The desired Beta level, i.e. Type II Error - probability of a false negative |
obs |
Vector of potential sample sizes |
alternative |
The method of determining a difference in provided proportions: "greater", "less", "two.sided" |
nullp |
The null hypothesis proportion |
altp |
The alternative hypothesis proportion |
Value
A named list that includes: a data.frame with alpha, beta, and power values for the given vector of observations; a plot that shows the aforementioned data.frame as well as the observation counts that meet the given alpha and beta thresholds; the observation counts that meet the given alpha and beta thresholds.
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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