V2_std_mean: V2_std_mean
In yelleKneK/SMSD: Sequential Methods for Study Design
V2_std_mean R Documentation
V2_std_mean
Description
This function is used internally to calculate the estimate of the asymptotic variance of the standardized mean.
Usage
V2_std_mean(x, na.rm = FALSE)
Arguments
x
The vector for which to calculate the standardized mean.
na.rm
This parameter controls whether NA values are removed from
the data prior to calculation. Default is FALSE.
Value
The estimated asymptotic variance of the standardized mean.
Author(s)
Bhargab Chattopadhyay Bhargab@iiitvadodara.ac.in, Ken Kelley kkelley@nd.edu
References
Kelley, K., Darku, F. B., & Chattopadhyay, B. (2018). Accuracy in parameter estimation for a general class of effect sizes: A sequential approach. Psychological Methods, 23, 226–243.
Examples
x <- c(1:4)
V2_std_mean(x)
yelleKneK/SMSD documentation built on Nov. 23, 2022, 6:40 p.m.
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| V2_std_mean | R Documentation |
V2_std_mean
Description
This function is used internally to calculate the estimate of the asymptotic variance of the standardized mean.
Usage
V2_std_mean(x, na.rm = FALSE)
Arguments
x |
The vector for which to calculate the standardized mean. |
na.rm |
This parameter controls whether NA values are removed from
the data prior to calculation. Default is |
Value
The estimated asymptotic variance of the standardized mean.
Author(s)
Bhargab Chattopadhyay Bhargab@iiitvadodara.ac.in, Ken Kelley kkelley@nd.edu
References
Kelley, K., Darku, F. B., & Chattopadhyay, B. (2018). Accuracy in parameter estimation for a general class of effect sizes: A sequential approach. Psychological Methods, 23, 226–243.
Examples
x <- c(1:4) V2_std_mean(x)
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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