| se.mean.ps {vcmeta} | R Documentation |
Computes the standard error for a paired-samples mean difference
Description
This function computes the standard error of a paired-samples mean difference using the estimated means, estimated standard deviations, estimated Pearson correlation, and sample size. The effect size estimate and standard error output from this function can be used as input in the meta.ave.gen, meta.lc.gen, and meta.lm.gen functions in applications where compatible mean differences from a combination of 2-group and paired-samples experiments are used in the meta-analysis. Equality of variances is not assumed.
Usage
se.mean.ps(m1, m2, sd1, sd2, cor, n)
Arguments
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 for measurements 1 and 2 |
n |
sample size |
Value
Returns a one-row matrix:
Estimate - estimated mean difference
SE - standard error
References
Snedecor GW, Cochran WG (1980). Statistical methods, 7th edition. ISU University Pres, Ames, Iowa.
Examples
se.mean.ps(23.9, 25.1, 1.76, 2.01, .78, 25)
# Should return:
# Estimate SE
# Mean difference: -1.2 0.2544833