Final Exam: Getting Started with R Programming
R Programming 4.0+
- 1 Video | 35s
- Includes Assessment
- Earns a Badge
Final Exam: Getting Started with R Programming will test your knowledge and application of the topics presented throughout the Getting Started with R Programming track of the Skillsoft Aspire Data Analysis with R Journey.
WHAT YOU WILL LEARN
combine two data frames using the rbind() and cbind() functionscreate arrays and store multi-dimensional data in themcreate data frames to store data as indexed rows and columnscreate variables using different techniquescreate vectors and explore the nuances of vectorsfilter data frames to view rows that satisfy a conditiongenerate vectors using the c() and vector() functionsimplement logical and relational operations on vectorsimplement matrix multiplication using the %*% operatorindex into the individual values stored in cells in data frames
install the R kernel on Jupyter Notebook on Windowslabel the rows in data frames and view statisticsname dimensions in matrices and index into them using namesperform cell-wise math operations on data stored in matricesperform indexing, slicing, and dicing operations with vectorsperform vectorized or element-wise operationsset up the R kernel on Jupyter Notebook on macOSuse matrices to store 2-dimensional data and index into themuse the ? operator to view docs for functionsuse various built-in functions such as print() and abs()
IN THIS COURSE
1.Getting Started with R Programming36sUP NEXT
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platformDigital badges are yours to keep, forever.
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