Dear all I am trying to use the forest.robu option in the robumeta R package <https://cran.r-project.org/web/packages/robumeta/vignettes/robumetaVignette.pdf>for computing robust variance estimations. However, though I get no error when I run the code (attached at the end), I get a forest plot where the visualization only shows a part of my studies, like a portion was cut from the whole forest plot. I have 65 studies and 75 effects (some studies have multiple outcomes) grouped in 3 categories using a categorical variable (SOR, selective outcome reporting, which has 3 possible labesl 0, 1, 8). I tried to zoom to save as pdf to save as image but I still do not get anything I can use. Maybe this is a pretty trivial question, but how can I visualize and save a forest plot that includes all of my studies? (I did load the grid package) Code: #Robust variance estimator, intercept-only model# Reported_intercept <- robu(formula = SMD ~ 1, data=Reported01, studynum = Study, var.eff.size = Var, modelweights = "CORR", rho = 0.8, small = TRUE) print(Reported_intercept) forest.robu(Reported_intercept, es.lab = "SOR_study", study.lab = "Study", "Effect Size" = effect.size, # optional column "Weight" = r.weights) # optional column Thank you! Ioana
Ioana-Alina Cristea, Ph.D. Assistant Professor Department of Brain and Behavioral Sciences University of Pavia, Piazza Botta 11, 27100 Pavia, Italy Research affiliate METRICS (Meta-research Innovation Center at Stanford) Stanford University, California, USA Associate editor Systematic Reviews <https://systematicreviewsjournal.biomedcentral.com/> ORCid: http://orcid.org/0000-0002-9854-7076 Publons: https://publons.com/author/1196647/ioana-alina-cristea#profile Researchgate: https://www.researchgate.net/profile/Ioana_Cristea Twitter: https://twitter.com/IoanaA_Cristea [[alternative HTML version deleted]]