ClinicoPath jamovi Module πŸ”¬

A jamovi Module that contains main analysis used in ClinicoPathological research. ClinicoPath help researchers to generate natural language summaries of their dataset, generate cross tables with statistical tests, and survival analysis with survival tables, survival curves, and natural language summaries.

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Download ClinicoPathJamoviModule

https://zenodo.org/account/settings/github/repository/sbalci/ClinicoPathJamoviModule

DOI 10.17605/OSF.IO/9SZUD

https://osf.io/9szud/


Installation in jamovi

You can install this module after installing jamovi version >= 1.2.19 from here: https://www.jamovi.org/download.html

Then you can install the submodules directly inside the jamovi, using library.

Submodules are: - ClinicoPathDescriptives - jsurvival - meddecide - jjstatsplot

Installation via sideload jamovi

Step 1:

Download and install jamovi.

Step 2:

Download the relevant jmo file for your operating system from

a: For development version

b: For smaller modules

ClinicoPathDescriptives

ClinicoPathDescriptives functions are separately added to jamovi library under Exploration menu

ClinicoPathDescriptives module can be downloaded inside jamovi (click Modules and jamovi library)

https://github.com/sbalci/ClinicoPathDescriptives/

https://github.com/sbalci/ClinicoPathDescriptives/releases/

https://library.jamovi.org/win64/R4.0.2/ClinicoPathDescriptives-0.0.2.0039.jmo

https://library.jamovi.org/macos/R4.0.2/ClinicoPathDescriptives-0.0.2.0039.jmo

remotes::install_github("sbalci/ClinicoPathDescriptives")
- name: ClinicoPathDescriptives
  url: https://github.com/sbalci/ClinicoPathDescriptives.git
  commit: 190b914807518bf0e9139bc282eabcf3883a9e72
  platforms:
    - win64
    - macos
ClinicoPathLinuxDescriptives

ClinicoPathDescriptives functions for Linux

https://github.com/sbalci/ClinicoPathLinuxDescriptives/

https://github.com/sbalci/ClinicoPathLinuxDescriptives/releases/

https://library.jamovi.org/linux/R4.0.2/ClinicoPathDescriptives-0.0.2.0041.jmo

remotes::install_github("sbalci/ClinicoPathDescriptives")
- name: ClinicoPathDescriptives
  url: https://github.com/sbalci/ClinicoPathLinuxDescriptives.git
  commit: cc63b37bd0a639194baf5a35db72783e05336027
  platforms:
    - linux
    
JJStatsPlot

GGStatsPlot functions are separately added to jamovi library under jjstatsplot menu

JJStastPlot module can be downloaded inside jamovi (click Modules and jamovi library)

https://library.jamovi.org/win64/R4.0.2/jjstatsplot-0.0.2.0038.jmo

https://library.jamovi.org/macos/R4.0.2/jjstatsplot-0.0.2.0038.jmo

https://github.com/sbalci/jjstatsplot

https://github.com/sbalci/jjstatsplot/releases/

remotes::install_github("sbalci/jjstatsplot")
- name: jjstatsplot
  url: https://github.com/sbalci/jjstatsplot.git
  commit: c49c23de8b9ff8a1569da4ee1b6f4fcc8cf61d1f
  platforms:
    - win64
    - macos
jsurvival

https://github.com/sbalci/jsurvival

https://github.com/sbalci/jsurvival/releases/

https://library.jamovi.org/macos/R4.0.2/jsurvival-0.0.2.0044.jmo

https://library.jamovi.org/win64/R4.0.2/jsurvival-0.0.2.0044.jmo

https://library.jamovi.org/linux/R4.0.2/jsurvival-0.0.2.0044.jmo

remotes::install_github("sbalci/jsurvival")
- name: jsurvival
  url: https://github.com/sbalci/jsurvival.git
  commit: 9c57e504ddc0ceb42681f92b63ec0c0adf294436
  platforms:
    - win64
    - macos
    - linux
jbbplot

https://github.com/sbalci/jbbplot/

https://github.com/sbalci/jbbplot/releases/

remotes::install_github("sbalci/jbbplot")

Step 3: And install using side-load as shown below:


Screenshots of Module


Exploration

ClinicoPath Descriptives

TableOne

Summary of Continuous Variables

Summary of Categorical Variables

Benford Analysis

ClinicoPath Descriptive Plots

Variable Tree

Alluvial Diagrams

Age Pyramid


ClinicoPath Comparisons

Cross Tables

Pairwise Chi-Square Tests

πŸ”¬πŸ”¬πŸ”¬πŸ”¬ UNDER CONSTRUCTION πŸ› β›”οΈβš οΈπŸ”©

JJStatsPlot

Graphs and Plots


Survival

jsurvival

Univariate Survival Analysis

Multivariate Survival Analysis

Univariate Survival Analysis for Continuous Explanatory Variable
Odds Ratio Table and Plot

Competing Survival

πŸ”¬πŸ”¬πŸ”¬πŸ”¬ UNDER CONSTRUCTION πŸ› β›”οΈβš οΈπŸ”©


meddecide

Agreement

Interrater Reliability

ICC coefficients

πŸ”¬πŸ”¬πŸ”¬πŸ”¬ UNDER CONSTRUCTION πŸ› β›”οΈβš οΈπŸ”©


Decision

Medical Decision

Decision Calculator

Decision Tree
explore

πŸ”¬πŸ”¬πŸ”¬πŸ”¬ UNDER CONSTRUCTION πŸ› β›”οΈβš οΈπŸ”©

FFTrees

πŸ”¬πŸ”¬πŸ”¬πŸ”¬ UNDER CONSTRUCTION πŸ› β›”οΈβš οΈπŸ”©

rpart

πŸ”¬πŸ”¬πŸ”¬πŸ”¬ UNDER CONSTRUCTION πŸ› β›”οΈβš οΈπŸ”©

ROC

πŸ”¬πŸ”¬πŸ”¬πŸ”¬ UNDER CONSTRUCTION πŸ› β›”οΈβš οΈπŸ”©


Correlation

Correlation

πŸ”¬πŸ”¬πŸ”¬πŸ”¬ UNDER CONSTRUCTION πŸ› β›”οΈβš οΈπŸ”©


Installation in R

You can install the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("sbalci/ClinicoPathJamoviModule")

Current Package Versions:

R: 4.0.2

MRAN: https://cran.microsoft.com/snapshot/2020-08-24

Acknowledgement

Made possible via the codes, help, and guidence of

See https://github.com/ClinicoPath for forked packages.


Buy me a coffeeBuy me a coffee

https://paypal.me/serdarbalci


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Development Status

Launch Rstudio Binder Gitpod Ready-to-Code Download ClinicoPathJamoviModule Project Status: Active – The project has reached a stable, usable state and is being actively developed.
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Code
Launch Rstudio Binder Gitpod Ready-to-Code Download ClinicoPathJamoviModule

Status
Project Status: Active – The project has reached a stable, usable state and is being actively developed.
lifecycle stability-unstable GitHub issues GitHub issues

Check, CI
R-CMD-check

Codacy Badge CodeFactor Coverage Status Build Status Build status codecov CircleCI GuardRails badge Maintainability Test Coverage

Recency, Updates
GitHubGitHub last commit Last-changedate GitHub Release DateGitHub commit activity

Webpage, Links, Size, Download
Website GitHub code size in bytes

Dependencies
minimal R version Libraries.io dependency status for GitHub repo Requirements Status

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GitHub forks GitHub forksGitHub stars Github Stars GitHub starsTwitter contributions welcome GitHub watchers

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