As a statistical programming language, R allows users to access precise statistics instead of simply printing a mass of output to the screen. The examples below highlight how to create…
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If the default color scheme for the lines and the symbol are not to your liking it is possible to change them using the following code. We are using the…
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Binary files offer an efficient and easy-to-recover way to store data. If you wish to convert a data frame in R to binary form, there are a few basics to…
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Binary files offer an efficient and easy-to-recover way to store data. If you wish to convert data in R to binary form, there are a few basics to learn that…
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A categorical variable of K categories is usually entered in a regression analysis as a sequence of K-1 variables, e.g. as a sequence of K-1 dummy variables. Subsequently, the regression…
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R Library: Introduction to functions The R program (as a text file) for the code on this page. In order to see more than just the results from the computations…
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R Library: Matrices and matrix computations The R program (as a text file) for the code on this page. In order to see more than just the results from the…
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Version info: Code for this page was tested in R version 3.0.2 (2013-09-25) On: 2013-11-19 With: lattice 0.20-24; foreign 0.8-57; knitr 1.5 In R there are at least three different…
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Version info: Code for this page was tested in R version 3.0.2 (2013-09-25) On: 2013-11-19 With: lattice 0.20-24; foreign 0.8-57; knitr 1.5 1. Subsetting variables TEST To manipulate data frames…
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Background Generalized linear mixed models (or GLMMs) are an extension of linear mixed models to allow response variables from different distributions, such as binary responses. Alternatively, you could think of…
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