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L1 <- list(x = sample(1:5, 20, rep=T), y = rep(letters[1:5], 4), z = rpois(20, 1)) > L1 $x [1] 2 1 1 4 5 3 4 5 5 3 3 3 4 3 2 3 3 2 3 1 $y [1] "a" "b" "c" "d" "e" "a" "b" "c" "d" "e" "a" "b" c CSIRO Australia, 2005 Course Materials and Exercises R Objects 57 [13] "c" "d" "e" "a" "b" "c" "d" "e" $z [1] 1 3 0 0 3 1 3 1 0 1 2 2 0 3 1 1 0 1 2 0 There are a number of ways of accessing the first component of a list. We can either access it through the name of that component (if names are assigned) or by using a number corresponding to the position the component corresponds to.

Vals4 Figure 16: Histograms of simulated data from Normal distributions with a mean of 0 and standard deviation of 1. 7978427 The interpretation of the Central Limit theorem is appropriate here for this example. The theorem states that as the sample size n taken from a population with a mean µ and variance σ 2 approaches infinity, then the statistics from the sampled distribution will converge to the theoretical distribution of interest. vals4, the object where we generated 10,000 random values from a N(0, 1) distribution, we find that the summary statistics are close to the actual values.

Capacity" "Horsepower" .... highway" "AirBags" > names(Cars93) .... room" [25] "Weight" "Origin" "Make" > find(Cars93) [1] "package:MASS" Assignments to Objects Avoid using the names of built-in functions as object names. If you mistakenly assign an object or value to a built-in function and it is passed to another function you may get a warning but not always. . things may go wrong. R has a number of built-in functions. Some examples include c, T, F, t. An easy way to avoid assigning values/objects to built-in functions is to check the contents of the object you wish to use.

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