• library (readxl) • FMD_RV <- read_excel ("C:/Metanalysis_Raphael/database_analysis/FMD_RV.xlsx") • View (FMD_RV) • Meta_1 = FMD_RV <- metacont (t_n, t_mean, t_dp, c_n, c_mean, c_dp, Study, predict = TRUE, data = FMD_RV, sm = "MD") • Meta_1 • forest (Meta_1, sortvar = Study, xlim = c (-10.0, 10.0), predict = TRUE, col.square = "grey", col.diamond = "black", digits = 2) • forest (Meta_1, comb.fixed = FALSE, sortvar = Study, xlim = c (-10.0, 10.0), digits.sd = 2, digits.I2= 2, print.I2.ci = TRUE , digits.tau2 = 2, digits.pval.Q = 3, squaresize = 0.5, lab.e = "Experimental", lab.c = "Control", col.inside = "black", col.square = "grey", col.diamond = "black", col.predict = "transparent", digits = 2) • baujat (Meta_1, ylim = c (-1.0, 1.0), xlim = c (-200, 200)) • metainf (Meta_1, pooled = "random") • metabias (Meta_1, method.bias = "linreg") • funnel (meta_Rapha1) |