seq_ubdes_norm: seq_ubdes_norm

In yelleKneK/SMSD: Sequential Methods for Study Design

seq_ubdes_norm

Description

Unbalanced Design using Purely Sequential approach for two different size sets of normal random variables

Usage

seq_ubdes_norm(
  data,
  C,
  K,
  w,
  alpha,
  pilot = FALSE,
  verbose = FALSE,
  na.rm = TRUE
)

Arguments

data	The data matrix for which to calculate the
C	A data frame.
K	K
w	The risk bound,A non-negative integer greater than zero.
alpha	The significance level. A value between 0 and 1.
pilot	Should a pilot sample be generated. True/False value. default value is FALSE.
verbose	Should the criterion be printed. Default is FALSE.
na.rm	This parameter controls whether NA values are removed from the data prior to calculation. Default is TRUE.

Value

The calculated mean and an indicator of if the criterion is satisfied.

Author(s)

Ken Kelley [e-mail], Francis Bilson Darku [e-mail], Bhargab Chattopadhyay [e-mail], Neetu Shah [e-mail]

References

Ken Kelley, Francis Bilson Darku, and Bhargab Chattopadhyay. (2018). Accuracy in Parameter Estimation for a General Class of Effect Sizes: A Sequential Approach. Psychological Methods, 23, 226–243.

Examples

C <- matrix(c(2,3), nrow=2)
pilot_ss <- seq_ubdes_norm(alpha=0.05, w=4, C=C, pilot=TRUE)
SLS <- matrix( rnorm(pilot_ss[1],mean=0,sd=1), rnorm(pilot_ss[2],
mean = 0, sd = 1), nrow=2,ncol=2)
seq_ubdes_norm(data=SLS, C=C, 2, w=4, alpha=0.05, pilot=FALSE)

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