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Overview: how to write your first R package

less than 1 minute read

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This blog post provides a brief overview of the key steps involved in creating, documenting, and publishing your first R package.

Learning R with swirl

1 minute read

Published:

Recently, I enrolled in an online course and stumbled upon swirl, a package for learning R, in R. I think that this is a great tool and an excellent way for beginners to learn R. I quickly fall in love with it. I believe there’s something for everyone on swirl, whether you’re a complete beginner or an experienced R user looking to expand skills. Thus, in this blog post, I’d like to share some of the courses in swirl that I found helpful. More information about swirl can be found in this link.

Continuous Updates: R Tricks I Found Useful

5 minute read

Published:

Welcome to this continuously updated blog post where I’ll be sharing R tips and tricks that I find helpful while coding. These range from simple one-liners to more complex functions that can save you time and effort. Some of the examples below may be too specific and not useful to you, while others are general R tips. I’m always interested in finding efficient solutions to complex problems and simplifying my code.

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teaching

GRE Subject Math Preparation workshop (Summer 2018 Instructor)

Face-to-Face, summer workshop, Miami University, Department of Mathematics, 2018

Instructor

As part of the SUMSRI program, I held problem-solving discussions and taught courses to undergraduate students. For each class, I prepared lecture notes, problem sets, and provided detailed solutions to each problem.

Introduction to Applied Nonlinear Dynamics (Summer 2018 GA)

Face-to-Face, undergraduate course, Miami University, Department of Mathematics, 2018

Graduate Assistant

As part of the SUMSRI program, I was given the chance to fill in for a professor who was away attending a conference. This gave me the valuable opportunity to lead several classes and take on the responsibility of teaching the material. I prepared lecture notes on phase plane (Textbook: Steven H. Strogatz, “Nonlinear Dynamics and Chaos”), created problem sets and provided detailed solutions for each one. In addition, I maintained close communication with the professor, providing regular progress reports to ensure that I was meeting his expectations. Looking back on the experience, I can say with certainty that it was incredibly rewarding, and I feel extremely fortunate to have been given such a chance.

Precalculus (Spring 2019, Fall 2018, Spring 2018 GA)

Face-to-Face, undergraduate course, Miami University, Department of Mathematics, 2019

Graduate Assistant

My primary responsibilities were attending each lecture in person with students and lecturer, grading exams, leading smaller sessions twice a week where students actively engaged in problem-solving, reviewing course materials from the large lectures. Additionally, I posted weekly summaries on Canvas, provided detailed solutions to problem sets, assisted with WebAssign homework, and offered in person office hours.

Statistical Computing with SAS (Summer 2020 TA)

Asynchronous, graduate course, University of Kentucky, Dr. Bing Zhang Department of Statistics, 2020

Teaching Assistant

My primary responsibilities were grading homework assignments (4) and projects (2), providing solutions and detailed feedback on student work, monitoring discussion board (3) and promptly replying to posts. Additionally, I posted weekly summaries (4) on Canvas to keep students informed about their progress. To ensure effective communication and support, I maintained a high level of organization and ensured that the students’ grades were accurate. I made myself readily available to students by responding promptly to emails.

Introduction to Statistical Reasoning (Fall 2020, Spring 2020, Fall 2019 TA)

Face-to-Face, undergraduate course, University of Kentucky, Dr. Bing Zhang Department of Statistics, 2020

Teaching Assistant

My primary responsibilities were attending each class in person with students and lecturer, grading homework assignments, providing details feedback on students’ work to enhance learning experience, assisting the primary instructor to maintain classroom discipline, grading exams and quizzes, and entering attendance grades for each class. In addition to this, I also held two-hour-long help sessions each week, answering any questions that students had on their homework. I made myself readily available to students via prompt email responses. Additionally, I stayed late after each class to answer questions and assisted the primary instructor where necessary. I made sure all student grades were accurate and kept up-to-date at all times.

Statistical Methods and Motivations (Spring 2021 TA)

Asynchronous, undergraduate course, University of Kentucky, Dr. Bing Zhang Department of Statistics, 2021

Teaching Assistant

My primary responsibilities were grading workbook assignments (4), final project (1), helping with WileyPLUS homework, promptly addressing any questions or concerns they had via email, particularly during three online exams. To ensure effective communication and support, I maintained a high level of organization and made sure the students’ grades were accurate.

Statistical Methods and Motivations (Fall 2021 Primary Instructor)

Face-to-Face, undergraduate course, University of Kentucky, Dr. Bing Zhang Department of Statistics, 2021

Primary Instructor

As a primary instructor, I gave lectures and led discussions, created course syllabus, developed and designed lecture slides (21 sections) using Beamer, provided handouts (19), problem sets, posted weekly summaries (16), wrote exams (3), and quizzes (5). In addition, I set up and managed a Canvas site for the course. I made myself available to students by holding in-person office hours, staying after each class to answer questions, and conducting review sessions (3) and providing study guides (3) before each exam. I was also involved in assisting with WileyPLUS homework, grading non-WileyPLUS assignments (13), exams, and workbook problems (18). At the end of the semester, I assigned an individual final project focused on hypothesis testing based on a given dataset. Throughout the semester, I closely monitored each student’s progress and was quick to respond to their emails. I was nominated for the 2021-2022 R.L. Anderson Outstanding Teaching Award.

Engineering Statistics - A Conceptual Approach (Spring 2022 TA)

Asynchronous, undergraduate course, University of Kentucky, Dr. Bing Zhang Department of Statistics, 2022

Teaching Assistant

My primary responsibilities were grading homework assignments (8), lab assignments (3), and projects (3). In addition, I proctored two synchronous exams and promptly answered and clarified any questions students had. I provided solutions and detailed feedback on student work and created notes on coding examples for lab projects. To ensure effective communication and support, I maintained a high level of organization and made sure the students’ grades were accurate. I made myself readily available to students via prompt email responses, virtual office hours, and assistance both during and outside of working hours. Additionally, I closely monitored students’ progress throughout the semester and scheduled Zoom meetings with students to address any questions or concerns that arose during the course.

Applied Multivariate Statistics (Fall 2022 TA)

Asynchronous, graduate course, University of Kentucky, Dr. Bing Zhang Department of Statistics, 2022

Teaching Assistant

My primary responsibilities were grading homework assignments (12) and exams (3), providing solutions and detailed feedback on student work, monitoring discussion board (12 Modules), and promptly replying to posts. Additionally, I provided handouts with detailed solutions to example questions. To ensure effective communication and support, I maintained a high level of organization and ensured that the students’ grades were accurate. I made myself readily available to students by responding promptly to emails, offering virtual office hours, and providing assistance both during and outside of scheduled office hours. Additionally, I closely monitored students’ progress throughout the semester and scheduled Zoom meetings with students to address any questions or concerns that arose during the course.

Computational Theory and Data Visualization (Fall 2022 TA)

Asynchronous, graduate course, University of Kentucky, Dr. Bing Zhang Department of Statistics, 2022

Teaching Assistant

My primary responsibilities were grading homework assignments (17), providing detailed feedback on student work, monitoring discussion board (10 Modules), promptly replying to posts, and helped with WileyPLUS homework. To ensure effective communication and support, I maintained a high level of organization and ensured that the students’ grades were accurate. I made myself readily available to students by responding promptly to emails, offering virtual office hours, and providing assistance both during and outside of scheduled office hours. Additionally, I closely monitored students’ progress throughout the semester and scheduled Zoom meetings with students to address any questions or concerns that arose during the course.

Regression Analysis and Design of Experiments (Spring 2023 TA)

Asynchronous, graduate course, University of Kentucky, Dr. Bing Zhang Department of Statistics, 2023

Teaching Assistant

My primary responsibilities were grading homework assignments (6) and exams (2), while providing solutions and detailed feedback on student work to enhance students’ leaning experience. To ensure effective communication and support, I maintained a high level of organization and made sure the students’ grades were accurate, and that all documentation was up to date. I made myself readily available to students via prompt email responses, in-person and virtual office hours, and assistance both during and outside of scheduled office hours. Additionally, I closely monitored students’ progress throughout the semester and scheduled Zoom meetings with students to address any questions or concerns that arose during the course.

Introduction to Statistical Reasoning (Fall 2023 Primary Instructor)

Face-to-Face, undergraduate course, University of Kentucky, Dr. Bing Zhang Department of Statistics, 2023

Primary Instructor

As a primary instructor, I gave lectures and led discussions, created course syllabus, developed and designed lecture notes in LaTex, provided handouts, problem sets, posted weekly summaries, wrote exams (2), and quizzes. In addition, I set up and managed a Canvas site for the course. I made myself available to students by holding in-person office hours, holding tutoring ceters (2 hours per week), staying after each class to answer questions, and conducting review sessions (2) and providing study guides (2) before each exam (2). I was also involved in grading homework assignments (10), exams(2), and workbook problems (21). Two projects were assigned during the semester. Throughout the semester, I closely monitored each student’s progress and was quick to respond to their emails.