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this is the website for modern statistical methods for psychology, a modified version of introduction to modern statistics, first edition by mine etinkaya-rundel and johanna hardin, as modified by gregory cox. the original introduction to modern statistics is a textbook from the openintro project. version date of this modification: may 24, 2022. the original version of the introduction to modern statistics textbook and its supplements, including slides, labs, and interactive tutorials, may be downloaded for free atopenintro.org/book/ims. this textbook is itself a derivative of openintro read more

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this tutorial shows how to create very simple simulation or agent-based models of cultural evolution in r [..] this tutorial shows how to create very simple simulation or agent-based models of cultural evolution in r (r core team 2021). currently these are: each model is contained in a separate rmarkdown (rmd) file. you can either (i) download each of these rmd files from then open them in rstudio or another ide, executing the code as you read the explanatory text, or (ii) read the online version of the tutorial at. read more
this is a tutorial to learn the use of r, rstudio, and r markdown to perform a simple analysis. [] an introduction to user! is provided in the html version of the book, but if you want the more detailed version of this tutorial, you can download the pdf version of the book by clicking on pdf button in the top toolbar of the page. the first part of this tutorial describes the process of downloading data for this tutorial and provides a brief introduction to r to beginners. next, a step-by-step tutorial is provided for how to import data into r, create a data frame, make plots, and perform a simple analysis using ggplot2. these tutorials will provide you read more
user! 2016 tutorial: machine learning algorithmic deep dive. [] user! 2016 tutorial: machine learning algorithmic deep dive this tutorial contains training modules for six popular supervised machine learning methods: here are some practical, related topics we will cover for each algorithm: instructions for how to install the necessary software for this tutorial is available here. data for the tutorial can be downloaded certain algorithms dont scale well when there are millions of features. for example, decision trees require computing some sort of metric (to determine the splits) on all read more
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Apostila De Flores Em E.v.a Download ((LINK))

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