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Applied Statistics Lab01
Module C: Vectors and Indexing
This module introduces vectors in R and explains how to create, manipulate, and analyze them. Learners will practice creating vectors using c(), seq(), and rep(), performing vectorized arithmetic, understanding vector recycling, and accessing vector elements using positional, name-based, and logical indexing. The module also covers modifying vectors, useful vector functions, worked examples, and practical exercises and quizzes to reinforce the concepts.
Prueba
Connecting civic engagement to organizational civic dimensions
Civic Navigator as an strategic management tool to inform actions towards meeting civic missions.
TUGAS STATISTIKA 3
menganalisis data harian ecotrack menggunakan statistik deskriptif
Module B: Variables and Data Types in R
This lesson introduces variables and core data types in R, including numeric, integer, character, logical, and complex data. It covers how to inspect objects using class(), typeof(), and str(), convert values between data types, understand special values such as NA, NULL, NaN, and Inf, and use arithmetic, relational, logical, and %in% operators in R.