ff_proportions: Difference and confidence interval of difference between two...
In forsythfuture/FFtools: Consolidates common functions and commands used by Forsyth Futures
ff_proportions R Documentation
Difference and confidence interval of difference between two binomial observations
Description
This function calculates the percentile difference between two observations that
are binomial (true / false, yes / no, etc) in nature. It also calculates the confidence
interval of this difference. The function is used in 'ff_estiamtes_ci'.
Usage
ff_proportions(successes, trials, rate_per_unit = 1)
Arguments
successes
Vector of two numbers that represent the number of successes in each
of the observations.
trials
Vector of two numbers that represent the number of trials in each
of the observation
rate_per_unit
Integer used to calculate the rate per x number of people. For example, the crime rate
is the number of crimes per 100,000 people, so 100,000 would be entered. Defaults to 1, which is no adjustment.
Only used if format equals 'binomial'.
forsythfuture/FFtools documentation built on April 5, 2022, 10:02 p.m.
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| ff_proportions | R Documentation |
Difference and confidence interval of difference between two binomial observations
Description
This function calculates the percentile difference between two observations that are binomial (true / false, yes / no, etc) in nature. It also calculates the confidence interval of this difference. The function is used in 'ff_estiamtes_ci'.
Usage
ff_proportions(successes, trials, rate_per_unit = 1)
Arguments
successes |
Vector of two numbers that represent the number of successes in each of the observations. |
trials |
Vector of two numbers that represent the number of trials in each of the observation |
rate_per_unit |
Integer used to calculate the rate per x number of people. For example, the crime rate is the number of crimes per 100,000 people, so 100,000 would be entered. Defaults to 1, which is no adjustment. Only used if format equals 'binomial'. |
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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