- 6.3k Downloads
An old rule of thumb says that 80% of your data analysis time is spent transforming, reshaping, merging, and otherwise managing your data. SAS and SPSS have a reputation of being more flexible than R for data management. However, as you will see in this chapter, R can do everything SAS and SPSS can do on these important tasks
KeywordsData Management Data Frame Aggregate Function Character Vector Logical Comparison
Unable to display preview. Download preview PDF.