Type: Package
Title: Tools for Interactive Data Exploration
Version: 0.2.0
Description: Tools for interactive data exploration built using 'shiny'. Includes apps for descriptive statistics, visualizing probability distributions, inferential statistics, linear regression, logistic regression and RFM analysis.
Depends: R(≥ 3.2.4)
Imports: Rcpp, shiny, utils
Suggests: blorr, data.table, descriptr, DT, haven, highcharter, jsonlite, magrittr, olsrr, plotly, readr, readxl, rfm, shinyBS, shinycssloaders, standby, tools, vistributions
URL: https://github.com/rsquaredacademy/xplorerr, https://xplorerr.rsquaredacademy.com/
BugReports: https://github.com/rsquaredacademy/xplorerr/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2024-10-29 10:49:53 UTC; HP
Author: Aravind Hebbali ORCID iD [aut, cre]
Maintainer: Aravind Hebbali <hebbali.aravind@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-29 11:30:02 UTC

xplorerr package

Description

R Shiny app for interactive statistical analysis

Details

See the README on GitHub

Author(s)

Maintainer: Aravind Hebbali hebbali.aravind@gmail.com (ORCID)

See Also

Useful links:

Descriptive Statistics

Description

Launches the descriptive statistics app.

Usage

app_descriptive()

Examples

## Not run: 
app_descriptive()

## End(Not run)

Inferential Statistics

Description

Launches the inferential statistics app.

Usage

app_inference()

Examples

## Not run: 
app_inference()

## End(Not run)

Linear Regression

Description

Launches the linear regression app.

Usage

app_linear_regression()

Examples

## Not run: 
app_linear_regression()

## End(Not run)

Logistic Regression

Description

Launches the logistic regression app.

Usage

app_logistic_regression()

Examples

## Not run: 
app_logistic_regression()

## End(Not run)

RFM Analysis

Description

Launches the RFM analysis app.

Usage

app_rfm_analysis()

Examples

## Not run: 
app_rfm_analysis()

## End(Not run)

Visualize distributions

Description

Launches app for visualizing probability distributions.

Usage

app_vistributions()

Examples

## Not run: 
app_vistributions()

## End(Not run)

Visualization

Description

Launches the visualizer app.

Usage

app_visualizer()

Examples

## Not run: 
app_visualizer()

## End(Not run)

Dummy data set for Cochran's Q test

Description

A dataset containing information about results of three exams.

Usage

data(exam)

Format

A data frame with 15 rows and 3 variables:

exam1

result of exam1

exam2

result of exam2

exam3

result of exam3

Source

https://www.spss-tutorials.com/spss-cochran-q-test/

High School and Beyond Data Set

Description

A dataset containing demographic information and standardized test scores of high school students.

Usage

data(hsb)

Format

A data frame with 200 rows and 10 variables:

id

id of the student

female

gender of the student

race

ethnic background of the student

ses

socio-economic status of the student

schtyp

school type

prog

program type

read

scores from test of reading

write

scores from test of writing

math

scores from test of math

science

scores from test of science

socst

scores from test of social studies

Source

https://nces.ed.gov/surveys/hsb/

Dummy data set for 2 Sample Proportion test

Description

A dataset containing information about two treatments

Usage

data(treatment)

Format

A data frame with 50 rows and 2 variables:

treatment1

result of treatment type 1

treatment2

result of treatment type 2

Repeat data

Description

Repeat data

Usage

xpl_gvar(ln, ly)

Arguments

ln

A list

ly

A list

Return sign

Description

Return sign

Usage

xpl_nsignC(x)

Arguments

x

A numeric vector