rob_summary: Produce summary weighted barplots of risk-of-bias...
In mcguinlu/robvis: Visualize the Results of Risk-of-Bias (ROB) Assessments

rob_summary

R Documentation

Produce summary weighted barplots of risk-of-bias assessments.

Description

A function to convert standard risk-of-bias output to tidy data and plot a summary barplot.

Usage

rob_summary(
  data,
  tool,
  overall = TRUE,
  weighted = FALSE,
  colour = "cochrane",
  ...
)

Arguments

`data`	A dataframe containing summary (domain) level risk-of-bias assessments, with the first column containing the study details, the second column containing the first domain of your assessments, and the final column containing a weight to assign to each study. The function assumes that the data includes a column for overall risk-of-bias. For example, a ROB2.0 dataset would have 7 columns (1 for study details, 5 for domain level judgments, 1 for overall judgements, in that order).
`tool`	The risk of bias assessment tool used. RoB2.0 (tool='ROB2'), ROBINS-I (tool='ROBINS-I'), and QUADAS-2 (tool='QUADAS-2') are currently supported.
`overall`	An option to include a bar for overall risk-of-bias in the figure. Default is TRUE
`weighted`	An option to specify whether weights should be used in the barplot. Default is FALSE.
`colour`	An argument to specify the colour scheme for the plot. Default is 'cochrane' which used the ubiquitous Cochrane colours, while a preset option for a colour-blind friendly palette is also available (colour = 'colourblind').
`...`	Arguments to be passed to the tool specific functions.

Value

Risk of bias assessment barplot figure.

Examples


data <- data.frame(
  stringsAsFactors = FALSE,
  Study = c("Study 1", "Study 2"),
  D1 = c("Low", "Some concerns"),
  D2 = c("Low", "Low"),
  D3 = c("Low", "Low"),
  D4 = c("Low", "Low"),
  D5 = c("Low", "Low"),
  Overall = c("Low", "Low"),
  Weight = c(33.33333333, 33.33333333)
)

rob_summary(data, "ROB2")

mcguinlu/robvis documentation built on July 4, 2023, 11:15 p.m.