For a 2-level within-subjects experiment, this function computes a
prediction interval for how the response variable score for one randomly
selected person from the study population would differ under the two
treatment conditions.
Usage
pi.score.ps(alpha, m1, m2, sd1, sd2, cor, n)
Arguments
- alpha
alpha level for 1-alpha confidence
- m1
estimated mean for measurement 1
- m2
estimated mean for measurement 2
- sd1
estimated standard deviation for measurement 1
- sd2
estimated standard deviation for measurement 2
- cor
estimated correlation of paired scores
- n
sample size
Value
Returns a 1-row matrix. The columns are:
Predicted - predicted difference in scores
df - degrees of freedom
LL - lower limit of the prediction interval
UL - upper limit of the prediction interval
Examples
pi.score.ps(.05, 265.1, 208.6, 23.51, 19.94, .814, 30)
#> Predicted df LL UL
#> 56.5 29 28.05936 84.94064
# Should return:
# Predicted df LL UL
# 56.5 29 28.05936 84.94064