seq_aipe_std_mean: seq_aipe_std_mean

In yelleKneK/SMSD: Sequential Methods for Study Design

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 [e-mail], Francis Bilson Darku [e-mail], Bhargab Chattopadhyay [e-mail]

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.