Final Exam: Getting Started with R Programming
R Programming 4.0+ | Beginner
- 1 video | 32s
- 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
install the R kernel on Jupyter Notebook on Windowsset up the R kernel on Jupyter Notebook on macOSuse the ? operator to view docs for functionscreate variables using different techniquesuse various built-in functions such as print() and abs()generate vectors using the c() and vector() functionscreate vectors and explore the nuances of vectorsperform indexing, slicing, and dicing operations with vectorsperform vectorized or element-wise operationsimplement logical and relational operations on vectors
use matrices to store 2-dimensional data and index into themname dimensions in matrices and index into them using namesperform cell-wise math operations on data stored in matricesimplement matrix multiplication using the %*% operatorcreate arrays and store multi-dimensional data in themcreate data frames to store data as indexed rows and columnslabel the rows in data frames and view statisticsindex into the individual values stored in cells in data framesfilter data frames to view rows that satisfy a conditioncombine two data frames using the rbind() and cbind() functions
IN THIS COURSE
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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