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Titlebook: R 4 Data Science Quick Reference; A Pocket Guide to AP Thomas Mailund Book 2022Latest edition Thomas Mailund 2022 Programming Language.R 4.

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41#
發(fā)表于 2025-3-28 15:25:37 | 只看該作者
Working with Strings: ,,The . package gives you functions for string manipulation. The package will be loaded when you load the . package:..
42#
發(fā)表于 2025-3-28 22:00:06 | 只看該作者
Working with Dates: ,,The . package is essential for working with dates and fits well with the Tidyverse. It is not, however, loaded when you import the . package, so you need to explicitly load it...
43#
發(fā)表于 2025-3-29 02:51:07 | 只看該作者
44#
發(fā)表于 2025-3-29 05:38:49 | 只看該作者
Thomas MailundFocuses on data science using R version 4 release.Covers the specific APIs and packages that let you build R-based data science applications.Includes how to use these packages to do data, statistical
45#
發(fā)表于 2025-3-29 10:35:53 | 只看該作者
Book 2022Latest editionll be covered concisely, with many illustrative examples using the following APIs: readr, dibble, forecasts, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more..With .R 4 Data Science Quick Reference., you‘ll have the code, APIs, and insights to write data science-based app
46#
發(fā)表于 2025-3-29 12:41:27 | 只看該作者
47#
發(fā)表于 2025-3-29 18:34:42 | 只看該作者
48#
發(fā)表于 2025-3-29 20:26:57 | 只看該作者
49#
發(fā)表于 2025-3-30 03:05:03 | 只看該作者
Pipelines: ,,l construction. In practical terms, this means that your R code will consist of a series of function calls where the output of one is the input of the next. The pattern is typical, but a straightforward implementation of it has several drawbacks. The Tidyverse has for many years provided a “pipe ope
50#
發(fā)表于 2025-3-30 07:37:31 | 只看該作者
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