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The educationR package provides a comprehensive collection of datasets related to education, covering topics such as student performance, learning methods, test scores, absenteeism, and other educational metrics. This package is designed as a resource for educational researchers, data analysts, and statisticians to explore and analyze data in the field of education.

The datasets included in educationR span various aspects of education, offering a range of formats, from tabular to tibbles. Each dataset is named with a suffix indicating its structure or type, making it easier to understand and work with the data.

Installation

You can install the educationR package from CRAN with the following R function:


install.packages("educationR")

Usage

After installation, you can load the package and begin exploring the datasets. The consistent naming convention helps you easily identify the structure of each dataset:

  • _tbl_df: Tibble.
  • _df: Data frame.
  • _table: Table.

Example Code:


# Load the package
library(educationR)

# Load a dataset
data("Achieve_tbl_df")

# View the dataset
head(Achieve_tbl_df)

# Load another dataset
data("UCBAdmissions_table")

# View the tabular dataset
summary(UCBAdmissions_table)

Example Datasets

Here are some example datasets included in the educationR package:

  • Achieve_tbl_df: Math Achievement Test Scores by Gender (_tbl_df for tibble).

  • GPA_college_tbl_df: High School GPA versus College GPA (_tbl_df for tibble).

  • QuizPulse10_df: Quiz vs Lecture Pulse Rates (_df for data frame).

  • UCBAdmissions_table: Student Admissions at UC Berkeley (_table for tabular data).

  • exams_tbl_df: Exam Scores: Class of 19 Students (_tbl_df for tibble).