Forest_Diag: A forest plot for diagnostic accuracy studies

In moritzlindner/metaplot: Convenient plotting of meta-analysis data

Description

This function creates a six column table of the format "median ( LCI - UCI )". Called by Forest_Plot

Usage

Forest_Diag(
  source_tbl,
  study,
  sort_var = NULL,
  group_var = NULL,
  disp_vars = NULL,
  sens_vars = c("sens", "sens.ci.lower", "sens.ci.upper"),
  spec_vars = c("spec", "spec.ci.lower", "spec.ci.upper"),
  weightmark = NULL
)

Arguments

source_tbl	Dataframe containing the meta-analysis data
study	Index column for unique study identifier e.g. "Obelix 50 B.c."
sort_var	Column to sort rows by.
group_var	Column variable containig group identifiers for subplots. Leave empty if not required.
disp_vars	Column to display in tabulat part of the plot
sens_vars	Columns to use for Sensitivity Forest Plot (median,lci,uci)
spec_vars	Columns to use for Specificity Forest Plot (median,lci,uci)
weightmark	column with values for weightings

moritzlindner/metaplot documentation built on May 10, 2021, 9:38 p.m.