{"id":24871255,"url":"https://github.com/SimranShaikh20/R-Fundamentals","last_synced_at":"2025-10-15T14:32:02.458Z","repository":{"id":274145566,"uuid":"922054153","full_name":"SimranShaikh20/R-Fundamentals","owner":"SimranShaikh20","description":null,"archived":false,"fork":false,"pushed_at":"2025-05-15T05:05:40.000Z","size":302,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-07T15:46:56.500Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/SimranShaikh20.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-01-25T07:28:16.000Z","updated_at":"2025-05-15T05:05:44.000Z","dependencies_parsed_at":"2025-05-15T06:20:02.344Z","dependency_job_id":"bf6a2dd8-aa70-484f-82aa-8176b18d6304","html_url":"https://github.com/SimranShaikh20/R-Fundamentals","commit_stats":null,"previous_names":["simranshaikh20/r_language_assignments","simranshaikh20/r-data-science-fundamentals","simranshaikh20/r-fundamentals"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/SimranShaikh20/R-Fundamentals","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SimranShaikh20%2FR-Fundamentals","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SimranShaikh20%2FR-Fundamentals/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SimranShaikh20%2FR-Fundamentals/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SimranShaikh20%2FR-Fundamentals/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/SimranShaikh20","download_url":"https://codeload.github.com/SimranShaikh20/R-Fundamentals/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SimranShaikh20%2FR-Fundamentals/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279085462,"owners_count":26100017,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-10-15T02:00:07.814Z","response_time":56,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-02-01T04:31:28.824Z","updated_at":"2025-10-15T14:32:02.453Z","avatar_url":"https://github.com/SimranShaikh20.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# R-Fundamentals\n \n\n## 📌 Lab Work\n**R Lab Assignment**  \n\n\n## 🎯 Objective  \nThis lab focuses on hands-on practice with **R programming**, covering arithmetic operations, data structures, subsetting, and built-in functions in **RStudio**.  \n\n## 📖 Topics Covered  \n- Arithmetic operations and variable assignments  \n- Built-in functions and data types  \n- Data structures: Vectors, Matrices, Lists, Data Frames  \n- Advanced practice: Logarithmic, Exponential, and Trigonometric functions  \n\n\n## 📖 Tasks  \n1. Perform and print addition, subtraction, division, and multiplication of two numbers.  \n2. Convert temperature between **Celsius** and **Fahrenheit**.  \n3. Convert an amount in **rupees** to **dollars** and vice versa.  \n4. Swap values of two variables using a third variable.  \n5. Swap values of two variables **without** using a third variable.  \n6. Calculate and display the **volume of a cube** with given dimensions.  \n7. Calculate and print **simple interest**.  \n\n\n---\n\n## 📁 Folder Structure\n\nThis lab is organized into the following subfolders and files:\n\n### 🔹 Directories\n\n- **Basic_Syntax/**  \n  Contains basic R syntax demonstrations including variables, operators, conditional statements, loops, and functions.\n\n- **Correlation Analysis/**  \n  Covers how to calculate and visualize correlation between numerical variables using functions like `cor()`, `cor.test()`, and plotting correlation matrices.\n\n- **Curve Fitting/**  \n  Demonstrates how to perform curve fitting using polynomial and non-linear regression techniques.\n\n- **Regression Analysis/**  \n  Includes examples of simple linear regression and multiple linear regression using R's `lm()` function. Also covers residual analysis and model interpretation.\n\n- **Statistical/**  \n  Contains various statistical analysis methods, including hypothesis testing (t-tests, chi-squared tests), descriptive statistics, and data distribution checks.\n\n### 🔹 File\n\n- **Lab_4.ipynb**  \n  A Jupyter Notebook version of the above scripts combining explanations, code, and visual outputs for easier understanding and execution.\n\n---\n\n## 🎯 Objectives\n\nThis lab helps learners:\n\n- Understand and implement basic R programming syntax\n- Conduct correlation and regression analysis\n- Perform statistical tests and hypothesis validation\n- Apply data modeling and curve fitting techniques\n- Gain hands-on experience with real-world data manipulation\n\n---\n\n## ⚙️ Requirements\n\nMake sure you have the following installed:\n\n### For R Scripts\n\n- R (≥ 4.0.0)\n- RStudio (optional, but preferred)\n\nInstall required packages in R:\n```r\ninstall.packages(c(\"ggplot2\", \"car\", \"readr\", \"tidyverse\", \"MASS\"))\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FSimranShaikh20%2FR-Fundamentals","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FSimranShaikh20%2FR-Fundamentals","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FSimranShaikh20%2FR-Fundamentals/lists"}