This is a quick example of how to do a fixed meta-analysis using the R package Rmeta, just so I dont have to look it up again next time:

## Create data frame containing betas and standard errors
df <- data.frame()
df <- rbind(df, c(2., 0.2))
df <- rbind(df, c(2.5, 0.4))
df <- rbind(df, c(2.2, 0.2))
## Add study names
df <- cbind(df, c("study 1", "study 2", "study 3"))
colnames(df) <- c("beta", "se_beta", "name") 
## Do the meta-analysis 
ms <- meta.summaries(df$beta, df$se_beta, names=df$name)
## Add some colors
mc <- meta.colors(summary="darkgreen", zero="red")
## Make a forest plot
plot(ms, xlab=expression(beta ~ " (mmol/l)"), 
     ylab="Study", colors=mc, zero=2.6)

The resulting plot looks like this:
Forest plot of fake data