Introduction to R for Data Science :: Session 4

######################################################## # Introduction to R for Data Science # SESSION 4 :: 19 May, 2016 # Data Science Community Serbia + Startit # :: Branko Kovač and Goran S. Milovanović :: ########################################################   # Starting with simple ‘if’ num <- 2 # some value to test with if (num > 0) print(“num is positive”) # if condition num > 0 stands than print() # is executed   # Sometimes ‘if’ has its ‘else’ if (num > 0) { # test to see if it’s positive print(“num is positive”) # print in case of positive number } else { print(“num is negative”) # it’s negative if not positive }   # Multiple ‘else’s are also possible if (!is.numeric(num)) { # check if it’s numeric print(“this is not a number”) # print…


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