pi.score.ps | R Documentation |
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.
pi.score.ps(alpha, m1, m2, sd1, sd2, cor, n)
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 |
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
pi.score.ps(.05, 265.1, 208.6, 23.51, 19.94, .814, 30)
# Should return:
# Predicted df LL UL
# 56.5 29 28.05936 84.94064
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