plot.rrma: Forest plot of an rrma object

In seananderson/robustmeta: Robust random-effect meta-regression with dependent effect sizes

Description

Creates a forest plot of an rrma object, which shows the effect sizes and confidence intervals grouped by study along with the robust meta-analytic mean and confidence intervals.

Usage

  plot.rrma(x, xlab = "Effect size", xlim = NULL,
    mar = c(4, 11, 1, 1), cex.axis = 1,
    bg_col = "#00000020", bg_line_col = "white", pch = 21,
    zero_lty = 2, diamond_col = "grey40")

References

Hedges, L.V., Tipton, E. & Johnson, M.C. (2010). Robust variance estimation in meta-regression with dependent effect_size estimates. Res. Synth. Method., 1, 39-65.

Examples

data(broad)
m <- rrma(formula = lnorReg ~ d18OresidualMean.cent, data =
broad, study_id = study.ID, var_eff = vlnorReg, rho = 0.5)
plot(m)

seananderson/robustmeta documentation built on May 29, 2019, 4:25 p.m.