## ---- echo = FALSE------------------------------------------------------- knitr::opts_chunk$set(include = TRUE, echo = TRUE, eval = TRUE, message = FALSE, warning = FALSE, out.width = "100%", fig.align = "center", cache = T, fig.asp = 0.75, fig.width = 9) ## ------------------------------------------------------------------------ library(metaviz) ## ---- echo = FALSE------------------------------------------------------- set.seed(2) ## ---- message = TRUE, dpi = 300------------------------------------------ funnelinf(homeopath[, c("d", "se")]) ## ------------------------------------------------------------------------ nullabor::decrypt("EwkU v7d7 9S YTV9d9TS Wo") ## ---- dpi = 300---------------------------------------------------------- # set.seed(2) # funnelinf(homeopath[, c("d", "se")]) set.seed(2) # same random seed as used above funnelinf(homeopath[, c("d", "se")], show_solution = TRUE) ## ---- echo = FALSE------------------------------------------------------- set.seed(3) ## ---- dpi = 300---------------------------------------------------------- funnelinf(homeopath[, c("d", "se")], n = 4) ## ------------------------------------------------------------------------ nullabor::decrypt("EwkU v7d7 9S YTV9d9TS Wu") ## ---- echo = FALSE------------------------------------------------------- set.seed(4) ## ---- dpi = 300---------------------------------------------------------- funnelinf(homeopath[, c("d", "se")], n = 4, null_model = "FEM") ## ------------------------------------------------------------------------ nullabor::decrypt("EwkU v7d7 9S YTV9d9TS WW") ## ---- dpi = 300---------------------------------------------------------- funnelinf(homeopath[, c("d", "se")], n = 4, null_model = "FEM", rorschach = TRUE) ## ---- echo = FALSE------------------------------------------------------- set.seed(4) ## ---- dpi = 300---------------------------------------------------------- funnelinf(homeopath[, c("d", "se")], n = 4, y_axis = "precision") ## ---- echo = FALSE------------------------------------------------------- set.seed(4) ## ---- dpi = 300---------------------------------------------------------- funnelinf(homeopath[, c("d", "se")], n = 4, egger = TRUE, trim_and_fill = TRUE, trim_and_fill_side = "right") ## ------------------------------------------------------------------------ age <- factor(homeopath$year > 2000, levels = c(FALSE, TRUE), labels = c("old", "new")) ## ------------------------------------------------------------------------ set.seed(4) ## ---- dpi = 300---------------------------------------------------------- funnelinf(homeopath[, c("d", "se")], n = 4, null_model = "FEM", group = age)