meta.ave.gen {vcmeta} | R Documentation |
Confidence interval for an average of any parameter
Description
Computes the estimate, standard error, and confidence interval for an average of any type of parameter from two or more studies.
Usage
meta.ave.gen(alpha, est, se, bystudy = TRUE)
Arguments
alpha |
alpha level for 1-alpha confidence |
est |
vector of parameter estimates |
se |
vector of standard errors |
bystudy |
logical to also return each study estimate (TRUE) or not |
Value
Returns a matrix. The first row is the average estimate across all studies. If bystudy is TRUE, there is 1 additional row for each study. The matrix has the following columns:
Estimate - estimated effect size
SE - standard error
LL - lower limit of the confidence interval
UL - upper limit of the confidence interval
Examples
est <- c(.022, .751, .421, .287, .052, .146, .562, .904)
se <- c(.124, .464, .102, .592, .864, .241, .252, .318)
meta.ave.gen(.05, est, se, bystudy = TRUE)
# Should return:
# Estimate SE LL UL
# Average 0.393125 0.1561622 0.08705266 0.6991973
# Study 1 0.022000 0.1240000 -0.22103553 0.2650355
# Study 2 0.751000 0.4640000 -0.15842329 1.6604233
# Study 3 0.421000 0.1020000 0.22108367 0.6209163
# Study 4 0.287000 0.5920000 -0.87329868 1.4472987
# Study 5 0.052000 0.8640000 -1.64140888 1.7454089
# Study 6 0.146000 0.2410000 -0.32635132 0.6183513
# Study 7 0.562000 0.2520000 0.06808908 1.0559109
# Study 8 0.904000 0.3180000 0.28073145 1.5272685
[Package vcmeta version 1.4.0 Index]