Introduction | Loading your data | Example data sets | Summary plots (rob_summary()) | Examples: | RoB2.0 tool for randomized controlled trials | ROBINS-I tool for non-randomized studies of interventions | QUADAS-2 tool for diagnostic test accuracy studies | rob_summary() options | Overall risk-of-bias judgments (overall) | Weighted or un-weighted bar plots (weighted) | Colour scheme (colour) | Traffic light plots (rob_traffic_light()) | rob_traffic_light() options | Point size (psize) | The "Generic" template | Motivation | Varying numbers of domains | Domain names
This package is considered a duplicate. The official version of this package is found at:https://mcguinlu.r-universe.dev/robvis
Package: robvis 0.3.0.900
Luke McGuinness
robvis: Visualize the Results of Risk-of-Bias (ROB) Assessments
Helps users in quickly visualizing risk-of-bias assessments performed as part of a systematic review. It allows users to create weighted bar-plots of the distribution of risk-of-bias judgments within each bias domain, in addition to traffic-light plots of the specific domain-level judgments for each study. The resulting figures are of publication quality and are formatted according the risk-of-bias assessment tool use to perform the assessments. Currently, the supported tools are ROB2.0 (for randomized controlled trials; Sterne et al (2019) <doi:10.1136/bmj.l4898>), ROBINS-I (for non-randomised studies of interventions; Sterne (2016) <doi:10.1136/bmj.i4919>), and Quality & Applicability of Diagnostic Accuracy Studies V2 (Whiting et al (2011) <doi:10.7326/0003-4819-155-8-201110180-00009>), and QUIPS (Hayden et al (2013) <doi:10.7326/0003-4819-158-4-201302190-00009>.
Authors:
robvis_0.3.0.900.tar.gz
robvis_0.3.0.900.zip(r-4.7)robvis_0.3.0.900.zip(r-4.6)robvis_0.3.0.900.zip(r-4.5)
robvis_0.3.0.900.tgz(r-4.6-any)robvis_0.3.0.900.tgz(r-4.5-any)
robvis_0.3.0.900.tar.gz(r-4.7-any)robvis_0.3.0.900.tar.gz(r-4.6-any)
robvis_0.3.0.900.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
robvis/json (API)
| # Install 'robvis' in R: |
| install.packages('robvis', repos = c('https://mrcieu.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mcguinlu/robvis/issues
Datasets:
- data_bias_direction - Example directional risk-of-bias dataset
- data_quadas - Example QUADAS-2 assessment dataset
- data_quips - Example QUIPS assessment dataset
- data_rob1 - Example ROB1 assessment dataset
- data_rob2 - Example ROB2.0 assessment dataset
- data_rob2_cluster - Example ROB2.0 (cluster variant) assessment dataset
- data_robins_e - Example ROBINS-E assessment
- data_robins_i - Example ROBINS-I assessment dataset
Last updated from:1ad2e27d5d (on suggestions). Checks:9 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 268 | ||
| source / vignettes | OK | 203 | ||
| linux-release-x86_64 | OK | 270 | ||
| macos-release-arm64 | OK | 198 | ||
| macos-oldrel-arm64 | OK | 209 | ||
| windows-devel | OK | 271 | ||
| windows-release | OK | 208 | ||
| windows-oldrel | OK | 215 | ||
| wasm-release | OK | 118 |
Exports:%>%rob_append_weightsrob_dummyrob_forestrob_saverob_summaryrob_toolsrob_traffic_light
Dependencies:clicpp11digestdplyrfarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrmathjaxrMatrixmetadatmetafornlmenumDerivpbapplypillarpkgconfigpurrrR6RColorBrewerrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Example directional risk-of-bias dataset | data_bias_direction |
| Example QUADAS-2 assessment dataset | data_quadas |
| Example QUIPS assessment dataset | data_quips |
| Example ROB1 assessment dataset | data_rob1 |
| Example ROB2.0 assessment dataset | data_rob2 |
| Example ROB2.0 (cluster variant) assessment dataset | data_rob2_cluster |
| Example ROBINS-E assessment | data_robins_e |
| Example ROBINS-I assessment dataset | data_robins_i |
| Extract weights from metafor results object and append to risk-of-bias data. | rob_append_weights |
| Create "realistic" dummy risk of bias assessment data | rob_dummy |
| Append a risk-of-bias traffic-light plot to a forest plot | rob_forest |
| Save risk-of-bias plots to a file using sensible parameters | rob_save |
| Produce summary weighted barplots of risk-of-bias assessments. | rob_summary |
| List the risk-of-bias tools for which templates are available within the package. | rob_tools |
| Produce traffic-light plots of risk-of-bias assessments. | rob_traffic_light |
