Other packages > Find by keyword >

exploratory  

A Tool for Large-Scale Exploratory Analyses
View on CRAN: Click here


Download and install exploratory package within the R console
Install from CRAN:
install.packages("exploratory")

Install from Github:
library("remotes")
install_github("cran/exploratory")

Install by package version:
library("remotes")
install_version("exploratory", "0.3.31")



Attach the package and use:
library("exploratory")
Maintained by
Jin Kim
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-04-22
Latest Update: 2021-04-22
Description:
Conduct numerous exploratory analyses in an instant with a point-and-click interface. With one simple command, this tool launches a Shiny App on the local machine. Drag and drop variables in a data set to categorize them as possible independent, dependent, moderating, or mediating variables. Then run dozens (or hundreds) of analyses instantly to uncover any statistically significant relationships among variables. Any relationship thus uncovered should be tested in follow-up studies. This tool is designed only to facilitate exploratory analyses and should NEVER be used for p-hacking. Many of the functions used in this package are previous versions of functions in the R Packages 'kim' and 'ezr'. Selected References: Chang et al. (2021) . Dowle et al. (2021) . Kim (2023) . Kim (2021) . Kim (2020) . Simmons et al. (2011) Tingley et al. (2019) . Wickham et al. (2020) .
How to cite:
Jin Kim (2021). exploratory: A Tool for Large-Scale Exploratory Analyses. R package version 0.3.31, https://cran.r-project.org/web/packages/exploratory. Accessed 18 Feb. 2025.
Previous versions and publish date:
0.3.13 (2021-04-22 09:10)
Other packages that cited exploratory R package
View exploratory citation profile
Other R packages that exploratory depends, imports, suggests or enhances
Complete documentation for exploratory
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

MOSS  
Multi-Omic Integration via Sparse Singular Value Decomposition
High dimensionality, noise and heterogeneity among samples and features challenge the omic integrat ...
Download / Learn more Package Citations See dependency  
clustMixType  
k-Prototypes Clustering for Mixed Variable-Type Data
Functions to perform k-prototypes partitioning clustering for mixed variable-type data according to ...
Download / Learn more Package Citations See dependency  
fclust  
Fuzzy Clustering
Algorithms for fuzzy clustering, cluster validity indices and plots for cluster validity and visuali ...
Download / Learn more Package Citations See dependency  
readxlsb  
Read 'Excel' Binary (.xlsb) Workbooks
Import data from 'Excel' binary (.xlsb) workbooks into R. ...
Download / Learn more Package Citations See dependency  
OptGS  
Near-Optimal Group-Sequential Designs for Continuous Outcomes
Optimal group-sequential designs minimise some function of the expected and maximum sample size whil ...
Download / Learn more Package Citations See dependency  
RobustBayesianCopas  
Robust Bayesian Copas Selection Model
Fits the robust Bayesian Copas (RBC) selection model of Bai et al. (2020) for cor ...
Download / Learn more Package Citations See dependency  

23,712

R Packages

205,795

Dependencies

64,332

Author Associations

23,631

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA