Essential R Cheatsheets (2nd edition) This compilation is crafted with the aim of delivering a high-quality, color-printed edition of indispensable R cheatsheets. The tangible advantage of having a print version readily available on a data analyst’s desk eliminates the need for online searches, Stack Overflow checks, or occupying precious screen space with PDF cheatsheets. In certain instances, the timeless appeal of old-school print proves to be the optimal choice. Included are 18 cheatsheets on 41 pages: Basic Statistics (descriptive statistics, t-test, ANOVA, contrast analysis, non-parametric tests, power analysis, correlation, regression, exploratory factor analysis, cluster analysis, miscellaneous) Base R Data Import Data Tidying with tidyr Data Transformation with dplyr Data Transformation with data.table Data Visualization with ggplot2 Apply and Lists with purrr Strings with stringr Regular Expressions Dates with lubridate Factors with forcats Reporting with rmarkdown Reporting with quarto (new) IDE Development with usethis and devtools shiny git In this 2nd edition, notable changes have been introduced: The Basic Statistics cheatsheet has been thoroughly revised and extended. A new cheatsheet for quarto has been added. An introductory guide on utilizing the compilation has been incorporated, providing a brief overview of all cheatsheets and elucidating their practical utility. All cheatsheets have been updated to their latest upstream versions. Embrace the enhanced and enriched content of this 2nd edition Essential R Cheatsheets compilation.
Essential R Cheatsheets: 2nd ed.
$13.83
This book provides reference materials for learning the R programming language, a valuable skill in statistics and data science.
Additional information
Weight | 0.177 lbs |
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Dimensions | 21.6 × 0.3 × 27.9 in |
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