Quantitative methods in the context of education research by Peter EJ Kemp, Richard Brock, Amy O’Brien, Carla Finesilver, Lulu Healy and David Pepper
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Posts by Big Book of R
An introduction to psychometric theory with applications in R by William Revelle
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Introduction to urban accessibility by Rafael H. M. Pereira and Daniel Herszenhut
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An R Platform for Social Scientists by Burak AYDIN, James ALGINA, Walter LEITE and Hakan ATILGAN
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Data Wrangling Essentials by Mark Banghart
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The lidR package by Jean-Romain Roussel, Tristan R.H. Goodbody and Piotr Tompalski
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Computing for the Social Sciences by Dr. Benjamin Soltoff
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Handbook of Regression Modeling in People Analytics by Keith McNulty
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Paquetes de R by Hadley Wickham and Jenny Bryan
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Visualization for Social Data Science by Roger Beecham
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R in Action, Third Edition, Data analysis and graphics with R and Tidyverse by Robert I. Kabacoff
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The targets R Package Design Specification by Will Landau
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Spatial Statistics for Data Science: Theory and Practice with R by Paula Moraga
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Ráster con Terra by Danilo Verdugo Chaura
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Getting Started in Data Science by Ayodele Odubela
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Flexible Imputation of Missing Data by Stef van Buuren
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Experimental Design for Laboratory Biologists Maximising Information and Improving Reproducibility by Stanley E. Lazic
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Composite Indicator Development and Analysis in R with COINr by William Becker
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Reproducible Medical Research with R by Peter D.R. Higgins, MD, PhD, MSc
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Population Health Data Science with R by Tomás J. Aragón
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The targets R Package Design Specification by Will Landau
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Computer-age Calculus with R by Daniel Kaplan
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R para la Ciencia de Datos 2nda edición by Hadley Wickham, Mine Çetinkaya-Rundel and Garrett Grolemund
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Business Intelligence with R by Dwight Barry
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Spatial Microsimulation with R by Robin Lovelace and Morgane Dumont
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R Avanzado by Hadley Wickham
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Build Your Career in Data Science by Emily Robinson and Jacqueline Nolis
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The targets R Package Design Specification by Will Landau
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Hands-On Time Series Analysis with R by Rami Krispin
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Data Visualization - A practical introduction by Kieran Healy
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