Joins
Very often when we are working with datasets, particularly databases, we often want to combine multiple datasets. Traditionally, in R, this was done with the function merge(). Since the development...
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Wrangling data
All the data that we use is in our repository. Now that you have your data in R, no matter the process you took to get it there, you will...
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Inputing data
All the data that we use (and will be used in this course) are available from here. I have also placed a copy of this data in our repository. Getting...
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R Data Structures
Working with data in R There are lots of great references out there to help orient you with R and R data structures. One of the best is the section...
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Getting to know R: a very brief introduction
What is R? R is an open-sourced computer language that allows you to conduct data analysis and programming It is extremly versatile with almost 9000 packages that allow you to...
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Similarities and Dissimilarities
Background The backbone to multivariate analysis is the two-way data matrix. In an ecological sense, we can imagine that each column in the dataset is a species or environmental factor...
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Data Standardization and Transformations
We will go over several data transformations and standardizations (aka relativisations) commonly used in multivariate statistics. This material borrows heavily from Dr. Kevin McGarigals Applied Multivariate Course with some modifications...
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