rob_summary {robvis}

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 = FALSE, weighted = TRUE,
  colour = "cochrane", quiet = FALSE)

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 8 columns (1 for study details, 5 for domain level judgments, 1 for overall judgements, and 1 for weights, 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 FALSE.

weighted

An option to specify whether weights should be used in the barplot. Default is TRUE, in line with current Cochrane Collaboration guidance.

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').

quiet

An option to quietly produce the plot without displaying it.

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")