This document is a resume for Rex O. Cummings summarizing his education and experience. Cummings attends Rowan University where he majors in Computer Science and minors in Mathematics, maintaining a 3.5 GPA. His experience includes developing websites and assisting students as a lab assistant, designing and implementing robotics applications involving machine learning and finite state machines, and conducting undergraduate research in robotics, computer vision, and chemistry. Cummings also lists computer skills and work experience in packaging, facilities management, and conservation.
Horton+Pruim+Kaplan_MOSAIC-StudentGuide.pdf Nicholas J. .docxwellesleyterresa
Horton+Pruim+Kaplan_MOSAIC-StudentGuide.pdf
Nicholas J. Horton
Randall Pruim
Daniel T. Kaplan
A Student's
Guide to
R
Project MOSAIC
2 horton, kaplan, pruim
Copyright (c) 2015 by Nicholas J. Horton, Randall
Pruim, & Daniel Kaplan.
Edition 1.2, November 2015
This material is copyrighted by the authors under a
Creative Commons Attribution 3.0 Unported License.
You are free to Share (to copy, distribute and transmit
the work) and to Remix (to adapt the work) if you
attribute our work. More detailed information about
the licensing is available at this web page: http:
//www.mosaic-web.org/go/teachingRlicense.html.
Cover Photo: Maya Hanna.
http://www.mosaic-web.org/go/teachingRlicense.html
http://www.mosaic-web.org/go/teachingRlicense.html
Contents
1 Introduction 13
2 Getting Started with RStudio 15
3 One Quantitative Variable 27
4 One Categorical Variable 39
5 Two Quantitative Variables 45
6 Two Categorical Variables 55
7 Quantitative Response, Categorical Predictor 61
8 Categorical Response, Quantitative Predictor 69
9 Survival Time Outcomes 73
4 horton, kaplan, pruim
10 More than Two Variables 75
11 Probability Distributions & Random Variables 83
12 Power Calculations 89
13 Data Management 93
14 Health Evaluation (HELP) Study 107
15 Exercises and Problems 111
16 Bibliography 115
17 Index 117
About These Notes
We present an approach to teaching introductory and in-
termediate statistics courses that is tightly coupled with
computing generally and with R and RStudio in particular.
These activities and examples are intended to highlight
a modern approach to statistical education that focuses
on modeling, resampling based inference, and multivari-
ate graphical techniques. A secondary goal is to facilitate
computing with data through use of small simulation
studies and appropriate statistical analysis workflow. This
follows the philosophy outlined by Nolan and Temple
Lang1. The importance of modern computation in statis- 1 D. Nolan and D. Temple Lang.
Computing in the statistics
curriculum. The American
Statistician, 64(2):97–107, 2010
tics education is a principal component of the recently
adopted American Statistical Association’s curriculum
guidelines2.
2 ASA Undergraduate Guide-
lines Workgroup. 2014 cur-
riculum guidelines for under-
graduate programs in statisti-
cal science. Technical report,
American Statistical Associa-
tion, November 2014. http:
//www.amstat.org/education/
curriculumguidelines.cfm
Throughout this book (and its companion volumes),
we introduce multiple activities, some appropriate for
an introductory course, others suitable for higher levels,
that demonstrate key concepts in statistics and modeling
while also supporting the core material of more tradi-
tional courses.
A Work in Progress
Caution!
Despite our best efforts, you
WILL find bugs both in this
document and in our code.
Please let us know when y ...
Horton+Pruim+Kaplan_MOSAIC-StudentGuide.pdf Nicholas J. .docxwellesleyterresa
Horton+Pruim+Kaplan_MOSAIC-StudentGuide.pdf
Nicholas J. Horton
Randall Pruim
Daniel T. Kaplan
A Student's
Guide to
R
Project MOSAIC
2 horton, kaplan, pruim
Copyright (c) 2015 by Nicholas J. Horton, Randall
Pruim, & Daniel Kaplan.
Edition 1.2, November 2015
This material is copyrighted by the authors under a
Creative Commons Attribution 3.0 Unported License.
You are free to Share (to copy, distribute and transmit
the work) and to Remix (to adapt the work) if you
attribute our work. More detailed information about
the licensing is available at this web page: http:
//www.mosaic-web.org/go/teachingRlicense.html.
Cover Photo: Maya Hanna.
http://www.mosaic-web.org/go/teachingRlicense.html
http://www.mosaic-web.org/go/teachingRlicense.html
Contents
1 Introduction 13
2 Getting Started with RStudio 15
3 One Quantitative Variable 27
4 One Categorical Variable 39
5 Two Quantitative Variables 45
6 Two Categorical Variables 55
7 Quantitative Response, Categorical Predictor 61
8 Categorical Response, Quantitative Predictor 69
9 Survival Time Outcomes 73
4 horton, kaplan, pruim
10 More than Two Variables 75
11 Probability Distributions & Random Variables 83
12 Power Calculations 89
13 Data Management 93
14 Health Evaluation (HELP) Study 107
15 Exercises and Problems 111
16 Bibliography 115
17 Index 117
About These Notes
We present an approach to teaching introductory and in-
termediate statistics courses that is tightly coupled with
computing generally and with R and RStudio in particular.
These activities and examples are intended to highlight
a modern approach to statistical education that focuses
on modeling, resampling based inference, and multivari-
ate graphical techniques. A secondary goal is to facilitate
computing with data through use of small simulation
studies and appropriate statistical analysis workflow. This
follows the philosophy outlined by Nolan and Temple
Lang1. The importance of modern computation in statis- 1 D. Nolan and D. Temple Lang.
Computing in the statistics
curriculum. The American
Statistician, 64(2):97–107, 2010
tics education is a principal component of the recently
adopted American Statistical Association’s curriculum
guidelines2.
2 ASA Undergraduate Guide-
lines Workgroup. 2014 cur-
riculum guidelines for under-
graduate programs in statisti-
cal science. Technical report,
American Statistical Associa-
tion, November 2014. http:
//www.amstat.org/education/
curriculumguidelines.cfm
Throughout this book (and its companion volumes),
we introduce multiple activities, some appropriate for
an introductory course, others suitable for higher levels,
that demonstrate key concepts in statistics and modeling
while also supporting the core material of more tradi-
tional courses.
A Work in Progress
Caution!
Despite our best efforts, you
WILL find bugs both in this
document and in our code.
Please let us know when y ...
1. Rex O. Cummings
230 County Rd. 513, cummingsr8@students.rowan.edu
Glen Gardner, NJ 08826 (908) 442 - 3375
Education
Rowan University
Expected Graduation: Spring 2017
Major: Computer Science
Minor: Mathematics
Cumulative GPA: 3.5
Professional Experience
Micro-Computing Lab Assistant May 2014 – Dec. 2015
Developed a website to organize employee’s schedules on a LAMP server.
Performed routine maintenance on laboratory computers including computer reimaging.
Assisted students with software and hardware questions on programming assignments.
Robotics Capstone Spring 2015
Cooperated with three students and a faculty member to design a robotics application.
Implemented a finite-state-machine with multiple search algorithms that allows a Turtlebot
via machine learning to track a user’s personal possessions.
Integrated various software packages in ROS with Sklearn-Theano (neural network library).
UAV Development Spring 2015
Built an autonomous Quadcopter using Arduino software to investigate flight mobility.
Improved Quadcopter software to reduce recovery time by 35% when avoiding obstacles.
Trained to properly cut metal and attach hardware components together by soldering.
Undergraduate Robotics Research Assistant Summer 2014
Implemented Python scripts with OpenCV to demonstrate human interaction for real-time
hand tracking and computer mouse control using an Asus Xtion Pro (depth camera).
Collaborated directly with a professor 10 – 15 hours a week to investigate human-computer
interaction using computer vision.
Undergraduate Chemistry Research Fall 2012 - Spring 2013
Collaborated 5 to 10 hours per week with graduate students and faculty from several departments.
Assisted in research to improve the adhesion of Au thin films onto poly (methyl methacrylate)
substrates using spun-cast organic solvents.
Analyzed and modeled 3-D molecules and compounds using advanced modeling programs.
Computer Skills
C, Python, C++, Java, SQL, ROS, OpenCV, R, Arduino
Work Experience
Packaging Operator for 3M Feb. 2016 – Aug. 2016
Led small crews on specialized projects requested by senior executives and faculty.
Packaging a variety of products such as SteriGage, E. O. Indicators, test packages.
Trained on collating, guillotine, loading, packing. palletizing, boxes and paper count.
Facilities Management Summer 2013
Organized crews to evaluate future projects and effective approaches.
Worked on a crew repairing and painting James Madison University dorm rooms
after receiving training on proper techniques and safety procedures.
Student Conservation Association (SCA) Summers 2008 – 2011
Built and repaired hiking trails as a member and assistant leader for NJ Green team.
Discussed environmental concerns and reflected on our impacts on the local community.
Awards, Achievements, Activities
Honorable Mention in an International Mathematical Contest for Modeling (MCM – COMAP) Spring 2013
Member, Association of Computing Machinery (ACM) Club Spring 2013 – Present
Member, Club Cross Country Fall 2015 – Present