Linear Regression Models with Logarithmic Transformations
Some properties of logarithms and exponential functions that you may find useful include: 1.log(e) = 1 2.log(1) = 0 3.log(xr) = r log(x) 4.logeA = A With valuable input and edits from Jouni Kuha. 1The bivariate case is used here for simplicity only, as the results generalize directly to models involving more than
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Linear Regression Models with Logarithmic …
kenbenoit.netLinear Regression Models with Logarithmic Transformations Kenneth Benoit Methodology Institute London School of Economics kbenoit@lse.ac.uk March 17, 2011
Text Analysis in R - Ken Benoit's website
kenbenoit.netText Analysis in R Kasper Welbersa, Wouter Van Atteveldtb, and Kenneth Benoit c aInstitute for Media Studies, University of Leuven, Leuven, Belgium; bDepartment of Communcation Science, VU University Amsterdam, Amsterdam, The Netherlands; cDepartment of Methodology, London School of Economics and Political Science, London, UK ABSTRACT Computational text analysis …
Text Analysis in R - Ken Benoit
kenbenoit.netTable 1 presents an overview of the text analysis operations that we address, categorized in three sections. In the data preparation section we discuss five steps to prepare texts for analysis. The first step, importing text, covers the functions for reading texts from various types of file formats (e.g., txt, csv, pdf) into a raw text corpus in R.
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