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In Module 13 we cover the implementation of basic statistical methods in R. We begin with a discussion of some functions to compute summary statistics and to characterize univariate distributions. In…
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Although plot() can produce bar charts, the barplot() function is often more convenient. In this video we introduce this function and illustrate its use to produce bar charts that display one and…
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The "..." or ellipsis argument to a function allows the function to accept unnamed and unspecified arguments to pass along to other functions called by the original function. Such an…
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There are several different functions and methods available in R to compute statistics or, more generally, apply functions to groups of observations within a data set. The tapply() function is one…
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This video covers how to combined data frames in R both horizontally and vertically. The primary tool for the former operation is the merge() function, whereas the rbind.fill() function from the plyr…
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We continue to discuss data structures in R, this time focusing on arrays. An array is a generalization of a matrix with an arbitrary number of dimensions. We illustrate the structure with a three…
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In this video we describe partial correlation coefficients and why they are useful. Then we demonstrate the computation of such measures in PROC CORR using an example involving measures of body girth…
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