Pengantar Pemrograman R: Perpustakaan Global: CRAN dan Ekosistem Paket R

The Jaringan Arsip R Komprehensif (CRAN) adalah jaringan server terpusat yang direview oleh rekan sejawat secara global yang menampung lebih dari 19.000 paket. Jaringan ini menjamin integritas struktural melalui proses pengujian yang ketat di berbagai perangkat keras.

1. Perpustakaan vs. Repositori

Sangat penting untuk membedakan keduanya: CRAN adalah repositori berbasis web repositori (sumber), sementara perpustakaan Anda Perpustakaan adalah direktori aktual di disk lokal Anda tempat paket dipasang. Perintah library() memuat kode yang telah dipasang ke sesi aktif Anda.

2. Introspeksi & Aset Asli

R menyediakan alat untuk mengintip isi internal paket. system.file() mengambil jalur lengkap aset paket (seperti dokumentasi atau dataset), sementara file.show() menampilkan mereka. R dasar mencakup paket datasets secara bawaan, bersama dengan paket-paket "Direkomendasikan" seperti boot (digunakan untuk bootstrapping dan resampling statistik).

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QUESTION 1

What is the technical difference between CRAN and a 'Library' in R?

CRAN is for documentation, Library is for code.

CRAN is the remote repository; Library is the local directory of installed packages.

They are synonymous terms for the search path.

Library is a sub-folder within the CRAN server.

QUESTION 2

Which function allows you to programmatically query all available tools on CRAN?

available.packages()

installed.packages()

show.cran()

library(all)

✅ Correct!

available.packages() (the successor to the CRAN.packages concept) queries the repository metadata.

❌ Incorrect

installed.packages() only looks at your local disk; available.packages() queries the remote repository.

QUESTION 3

What is the primary use of system.file()?

To delete temporary system files.

To find the physical file path of an installed package's assets.

To execute a system terminal command.

To download files from the internet.

QUESTION 4

Which of these packages is considered 'Recommended' and included by default in R distributions?

ggplot2

tidyverse

boot

shiny

✅ Correct!

The boot package is part of the 'Recommended' tier, maintained alongside the core engine.

❌ Incorrect

While popular, ggplot2 and tidyverse are third-party packages that must be explicitly installed.

QUESTION 5

What does the datasets package provide to the R ecosystem?

A standard for SQL connectivity.

A collection of built-in data frames for testing and learning.

An interface for cloud storage.

Tools for data cleaning only.

✅ Correct!

It provides 'common language' data like mtcars and iris.