ROCplot: Draws ROC curves for diagnostic accuracy studies

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

Description

This function creates an ROC plot. Returns or prints a ggplot object.

Usage

ROCplot(
  source_tbl,
  study,
  TP = "TP",
  FN = "FN",
  FP = "FP",
  TN = "TN",
  group_var = NULL,
  marker = NULL,
  colours = NULL,
  fontsize = 8,
  plabs = TRUE,
  axlabs = NULL
)

Arguments

source_tbl	Dataframe containing the meta-analysis data
study	Index column for unique study identifier e.g. "Obelix 50 B.c."
TP	Column name for column containing the True Positive values
FN	Column name for column containing the False Negative values.
FP	Column name for column containing the False Positive values.
TN	Column name for column containing the True Negative values.
group_var	Name of the column containig group identifiers for setting marker shape. Leave empty if not required.
marker	Name of the column containing values for setting marker size. Leave empty if not required.
colours	List of colours for group_var. Standard is greyscale.
fontsize	Font Size
plabs	Should each point be labled?
axlabs	X and Y axis lables, given as a list: c("X","Y")

Value

none

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