02972cam a2200529 i 4500 000718164 20241003094101.0 20220228141601.0 m |o d | cr_||||||||||| 210914s2021 flu ob 001 0 eng NEZPRACOVANÝ IMPORT 2021039319 9781000482065 (epub) 9781003228196 (ebook) 9781032132150 (hardback) 9781032135946 (paperback) pcc QA276.45.R3 519.5/202855133 23 Lu, Yan, author. R companion for sampling : design and analysis / Yan Lu and Sharon L. Lohr. First edition. Boca Raton : CRC Press, 2022. 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. "The R Companion for Sampling: Design and Analysis, designed to be read alongside Sampling: Design and Analysis, Third Edition by Sharon L. Lohr (SDA; 2022, CRC Press), shows how to use functions in base R and contributed packages to perform calculations for the examples in SDA. No prior experience with R is needed. Chapter 1 tells you how to obtain R and RStudio, introduces basic features of the R statistical software environment, and helps you get started with analyzing data. Each subsequent chapter provides step-by-step guidance for working through the data examples in the corresponding chapter of SDA, with code, output, and interpretation. Tips and warnings help you develop good programming practices and avoid common survey data analysis errors. R features and functions are introduced as they are needed so you can see how each type of sample is selected and analyzed. Each chapter builds on the knowledge developed earlier for simpler designs; after finishing the book, you will know how to use R to select and analyze almost any type of probability sample"-- Provided by publisher. Description based on print version record and CIP data provided by publisher. R (Computer program language) Sampling (Statistics) Lohr, Sharon L., 1960- author. Print version: Lu, Yan. R companion for sampling First edition. Boca Raton : CRC Press, 2022 9781032135946 (DLC) 2021039318 https://zdroje.vse.cz/login?url=https://doi.org/10.1201/9781003228196 Plný text TF EB PhDinfra PAR 000695588 UEP01 776 E-book Tištěná verze NEPOSILAT EB 7 cbc orignew 1 ecip 20 y-gencatlg acquire ecip ebook policy default ecip ebook 2021-09-17 xn11 2022-01-19 book rec'd LC online resource 2021-09-17