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Extra resources for An Introduction to R Software for Statistical Modelling & Computing
This could lead to problems if ’recycling’ was not meant to happen. An example is shown below. 127254 Some functions take vectors of values and produce results of the same length. Table 4 lists a number of functions that behave this way. Other functions return a single value when applied to a vector. Some of these functions are summarised in Table 5. The following script makes use of some of this functionality. 488393e-16 > sd(z) c CSIRO Australia, 2005 Course Materials and Exercises R Objects 48 Table 4: Functions that produce results of the same length.
This behaviour is controlled by the mfrow or mfcol graphics parameter. For example > par(mfrow=c(3,2)) will produce a plotting region with three rows and two columns. Each high-level plotting command starts plotting on a new figure. When all figures are exhausted, a new page is generated. The mfg graphics parameter keeps track of the row c CSIRO Australia, 2005 Course Materials and Exercises Graphics: An Introduction 64 and column of the current figure and the dimensions of the figure array. By setting this parameter unusual figure arrangements can be achieved.
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.
An Introduction to R Software for Statistical Modelling & Computing by Kuhnert&Venable