rob_traffic_light {robvis}

Produce traffic-light plots of risk-of-bias assessments.

Description

A function to take a summary table of risk of bias assessments and produce a traffic light plot from it.

Usage

rob_traffic_light(data, tool, colour = "cochrane", psize = 20,
  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.

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').

psize

Control the size of the traffic lights. Default is 20.

quiet

An option to quietly produce the plot without displaying it.

Value

Risk-of-bias assessment traffic light plot (ggplot2 object)

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_traffic_light(data, "ROB2")