| ci.mean.ps {statpsych} | R Documentation |
Confidence interval for a paired-samples mean difference
Description
Computes a confidence interval for a population paired-samples mean difference using the estimated means, estimated standard deviations, estimated correlation, and sample size. Also computes a paired-samples t-test. Use the t.test function for raw data input.
Usage
ci.mean.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 between measurements |
n |
sample size |
Value
Returns a 1-row matrix. The columns are:
Estimate - estimated mean difference
SE - standard error
t - t test statistic
df - degrees of freedom
p - two-sided p-value
LL - lower limit of the confidence interval
UL - upper limit of the confidence interval
Examples
ci.mean.ps(.05, 58.2, 51.4, 7.43, 8.92, .537, 30)
# Should return:
# Estimate SE t df p LL UL
# 6.8 1.455922 4.670578 29 6.33208e-05 3.822304 9.777696