As part of Data Science with R, this is third tutorial after basic data types,control structures in r.
One of the issues with for loop is its memory consumption and its slowness in executing a repetitive task at hand. Often dealing with large data and iterating it, for loop is not advised. R provides many few alternatives to be applied on vectors for looping operations. In this section, we deal with apply function and its variants:
?apply
Datasets for apply family tutorial
For understanding the apply functions in R we use,the data from 1974 Motor Trend
US magazine which comprises fuel consumption and 10 aspects of automobile design and
performance for 32 automobiles (1973–74 models).
data("mtcars")
head(mtcars)
mpg cyl disp hp drat wt qsec vs am gear carb
Mazda RX4 21.0 6 160 110 3.90 2.620 16.46 0 1 4 4
Mazda RX4 Wag 21.0 6 160 110 3.90 2.875 17.02 0 1 4 4
Datsun 710 22.8 4 108 93 3.85 2.320 18.61 1 1 4 1
Hornet 4 Drive 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1
Hornet Sportabout 18.7 8 360 175 3.15 3.440 17.02 0 0 3 2
Valiant 18.1 6 225 105 2.76 3.460 20.22 1 0 3 ...read moreSource:: r-bloggers.com