Grouped forest plot
Usage
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.