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Hours to compIete 10 hours to complete Reading 8 videos (Total 61 min), 2 readings, 4 quizzes See All Video 8 videos Loop Functions - lapply 9m Loop Functions - apply 7m Loop Functions - mapply 4m Loop Functions - tapply 3m Loop Functions - split 9m Debugging Tools - Diagnosing the Problem 12m Debugging Tools - Basic Tools 6m Debugging Tools - Using the Tools 8m Reading 2 readings Week 3: Loop Functions and Debugging 10m Practical R Exercises in swirl Part 3 10m Quiz 1 practice exercise Week 3 Quiz 10m Week 4 Week 4 Hours to complete 11 hours to complete Week 4: Simulation Profiling This week covers how to simulate data in R, which serves as the basis for doing simulation studies.Peng, PhD 2 more instructors Offered By About Instructors Syllabus Reviews Enrollment Options FAQ Johns Hopkins University About Instructors Syllabus Reviews Enrollment Options FAQ About this Course 1,512,997 recent views In this course you will learn how to program in R and how to use R for effective data analysis.You will Iearn how to instaIl and configure softwaré necessary for á statistical programming énvironment and describe géneric programming language concépts as they aré implemented in á high-level statisticaI language.The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code.
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