Grouped forest plot

mr_forest_plot_grouped(
  name,
  eff_Col = "b",
  exposure_Name = "exposure",
  outcome_Name = "outcome",
  forest_Title = "",
  outfile_Name = "annot_FP.pdf",
  left_Col_Names = c("Exposure", "Outcome"),
  left_Col_Titles = NULL,
  right_Col_Names = c("p", "Outcome.n.case", "Outcome.n.control",
    "Outcome.sample.size"),
  right_Col_Titles = NULL,
  debug = FALSE,
  log_ES = FALSE,
  decrease = TRUE,
  returnRobj = TRUE,
  se_Col = "se"
)

Arguments

name

(character) name of the delimited file containing all of the results on the first sheet (needs to have headers), or of the r object.

eff_Col

(character) name of the column in the delimited file that contains the effect sizes.

exposure_Name

(character) name of the column in the delimited file containing the types of studies.

outcome_Name

(character) name of the column in the delimited file containing the names of each study.

forest_Title

(character) the title to be used for a forest plot.

outfile_Name

(character) name to be used for output file (.pdf) or (.wmf).

left_Col_Names

(character vector) vector containing the names of the left-hand-side annotation columns in the delimited file.

left_Col_Titles

(character vector) vector containing the titles for each left-hand-side annotation column.

right_Col_Names

(character vector) vector containing the names of the right-hand-side annotation columns in the delimited file.

right_Col_Titles

(character vector) vector containing the titles for each right-hand-side annotation column.

debug

(logical) show warnings TRUE/FALSE?

log_ES

(logical) perform natural log transform of effect sizes and confidence bounds TRUE/FALSE?

decrease

(logical) sort the studies by decreasing effect sizes TRUE/FALSE?

returnRobj

(logical) return the graph as an internal R object TRUE/FALSE?

se_Col

(character) name of the column giving the standard error of the effect sizes.

Value

grid object giving the forest plot (or plot as pdf)