seq_aipe_std_mean: seq_aipe_std_mean

View source: R/seq_aipe_std_mean.R

seq_aipe_std_meanR Documentation

seq_aipe_std_mean

Description

Sequential approach to Accuracy in Parameter Estimation for Effect Sizes (AIPE): Standardized Mean

Usage

seq_aipe_std_mean(
  alpha = 0.05,
  omega,
  data = NULL,
  pilot = FALSE,
  m0 = 4,
  na.rm = TRUE
)

Arguments

alpha

The significance level. default is 0.05.

omega

omega

data

The data for which to calculate the standardized.

pilot

Should a pilot sample be generated.

m0

The initial sample size.

na.rm

This parameter controls whether NA values are removed from the data prior to calculation. Default is FALSE.

Value

The current sample size, the standardized mean, an indicator of if the criterion is satisfied and the confidence interval.

Author(s)

Ken Kelley KKelley@nd.edu, Francis Bilson Darku FBilsonD@nd.edu, Bhargab Chattopadhyay Bhargab@iiitvadodara.ac.in

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

pilot_ss <- seq_aipe_std_mean(alpha=0.05, omega=0.2, pilot=TRUE)
SLS <- rexp(pilot_ss, rate=0.05)
seq_aipe_std_mean(alpha=0.05, omega=0.2,data = SLS)


yelleKneK/SMSD documentation built on Nov. 23, 2022, 6:40 p.m.