ci_d: Creates a confidence interval for the standardized mean...
In jbiesanz/fabs: Functions for Applied Behavioural Sciences
View source: R/confidence_intervals.R
ci_d R Documentation
Creates a confidence interval for the standardized mean difference. Assumes predictors are fixed.
Description
Creates a confidence interval for the standardized mean difference. Assumes predictors are fixed.
Usage
ci_d(d, n1, n2, conf = 0.95, iter = 50)
Arguments
d
The estimated standardized mean difference.
n1
The sample size for group 1.
n2
The sample size for group 2.
conf
The desired (1-α) confidence level. Default is .95.
iter
Number of iterations for the stochastic approximation optimization. Default is 50.
Value
Returns the lower and upper endpoints of the confidence interval.
jbiesanz/fabs documentation built on July 15, 2022, 11:02 p.m.
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View source: R/confidence_intervals.R
| ci_d | R Documentation |
Creates a confidence interval for the standardized mean difference. Assumes predictors are fixed.
Description
Creates a confidence interval for the standardized mean difference. Assumes predictors are fixed.
Usage
ci_d(d, n1, n2, conf = 0.95, iter = 50)
Arguments
d |
The estimated standardized mean difference. |
n1 |
The sample size for group 1. |
n2 |
The sample size for group 2. |
conf |
The desired (1-α) confidence level. Default is .95. |
iter |
Number of iterations for the stochastic approximation optimization. Default is 50. |
Value
Returns the lower and upper endpoints of the confidence interval.
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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