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strohne

volker:High-Level Functions for Tabulating, Charting and Reporting Survey Data

Craft polished tables and plots in Markdown reports. Simply choose whether to treat your data as counts or metrics, and the package will automatically generate well-designed default tables and plots for you. Boiled down to the basics, with labeling features and simple interactive reports. All functions are 'tidyverse' compatible.

Maintained by Jakob Jünger. Last updated 3 days ago.

5 stars 7.18 score 125 scripts

joon-e

tidycomm:Data Modification and Analysis for Communication Research

Provides convenience functions for common data modification and analysis tasks in communication research. This includes functions for univariate and bivariate data analysis, index generation and reliability computation, and intercoder reliability tests. All functions follow the style and syntax of the tidyverse, and are construed to perform their computations on multiple variables at once. Functions for univariate and bivariate data analysis comprise summary statistics for continuous and categorical variables, as well as several tests of bivariate association including effect sizes. Functions for data modification comprise index generation and automated reliability analysis of index variables. Functions for intercoder reliability comprise tests of several intercoder reliability estimates, including simple and mean pairwise percent agreement, Krippendorff's Alpha (Krippendorff 2004, ISBN: 9780761915454), and various Kappa coefficients (Brennan & Prediger 1981 <doi: 10.1177/001316448104100307>; Cohen 1960 <doi: 10.1177/001316446002000104>; Fleiss 1971 <doi: 10.1037/h0031619>).

Maintained by Julian Unkel. Last updated 11 months ago.

16 stars 6.62 score 52 scripts

patzaw

ReDaMoR:Relational Data Modeler

The aim of this package is to manipulate relational data models in R. It provides functions to create, modify and export data models in json format. It also allows importing models created with 'MySQL Workbench' (<https://www.mysql.com/products/workbench/>). These functions are accessible through a graphical user interface made with 'shiny'. Constraints such as types, keys, uniqueness and mandatory fields are automatically checked and corrected when editing a model. Finally, real data can be confronted to a model to check their compatibility.

Maintained by Patrice Godard. Last updated 1 months ago.

18 stars 6.26 score 17 scripts 1 dependents

hugaped

MBNMAtime:Run Time-Course Model-Based Network Meta-Analysis (MBNMA) Models

Fits Bayesian time-course models for model-based network meta-analysis (MBNMA) that allows inclusion of multiple time-points from studies. Repeated measures over time are accounted for within studies by applying different time-course functions, following the method of Pedder et al. (2019) <doi:10.1002/jrsm.1351>. The method allows synthesis of studies with multiple follow-up measurements that can account for time-course for a single or multiple treatment comparisons. Several general time-course functions are provided; others may be added by the user. Various characteristics can be flexibly added to the models, such as correlation between time points and shared class effects. The consistency of direct and indirect evidence in the network can be assessed using unrelated mean effects models and/or by node-splitting.

Maintained by Hugo Pedder. Last updated 2 months ago.

jagscpp

7 stars 6.10 score

cedricbatailler

JSmediation:Mediation Analysis Using Joint Significance

A set of helper functions to conduct joint-significance tests for mediation analysis, as recommended by Yzerbyt, Muller, Batailler, & Judd. (2018) <doi:10.1037/pspa0000132>.

Maintained by Cédric Batailler. Last updated 2 months ago.

mediationmediation-analysispsychology

8 stars 5.76 score 36 scripts

guifabre

fabR:Wrapper Functions Collection Used in Data Pipelines

The goal of this package is to provide wrapper functions in the data cleaning and cleansing processes. These function helps in messages and interaction with the user, keep track of information in pipelines, help in the wrangling, munging, assessment and visualization of data frame-like material.

Maintained by Guillaume Fabre. Last updated 12 months ago.

1 stars 5.14 score 23 scripts 4 dependents

forestgeo

fgeo.tool:Import and Manipulate 'ForestGEO' Data

To help you access, transform, analyze, and visualize 'ForestGEO' data, we developed a collection of R packages (<https://forestgeo.github.io/fgeo/>). This package, in particular, helps you to easily import, filter, and modify 'ForestGEO' data. To learn more about 'ForestGEO' visit <https://forestgeo.si.edu/>.

Maintained by Mauro Lepore. Last updated 3 years ago.

dynamicsecologyfgeoforestgeomiscelaneastoolstreeutils

2 stars 4.86 score 27 scripts 3 dependents

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