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Titlebook: Beginning R; An Introduction to S Joshua F. Wiley,Larry A. Pace Book 2015Latest edition Larry Pace and Joshua Wiley 2015

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發(fā)表于 2025-3-21 16:40:55 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Beginning R
期刊簡稱An Introduction to S
影響因子2023Joshua F. Wiley,Larry A. Pace
視頻videohttp://file.papertrans.cn/183/182495/182495.mp4
發(fā)行地址Beginning R, Second Edition is a hands-on book showing how to use the R language, write and save R scripts, build and import data files, and write your own custom statistical functions.
圖書封面Titlebook: Beginning R; An Introduction to S Joshua F. Wiley,Larry A. Pace Book 2015Latest edition Larry Pace and Joshua Wiley 2015
影響因子.Beginning R, Second Edition. is a hands-on book showing howto use the R language, write and save R scripts, read in data files, and writecustom statistical functions as well as use built in functions. This book showsthe use of R in specific cases such as one-way ANOVA analysis, linear andlogistic regression, data visualization, parallel processing, bootstrapping,and more. It takes a hands-on, example-based approach incorporating bestpractices with clear explanations of the statistics being done. It has beencompletely re-written since the first edition to make use of the latestpackages and features in R version 3...R is a powerful open-source language and programmingenvironment for statistics and has become the de facto standard for doing,teaching, and learning computational statistics.? R is both an object-oriented language and afunctional language that is easy to learn, easy to use, and completely free. Alarge community of dedicated R users and programmers provides an excellentsource of R code, functions, and data sets, with a constantly evolvingecosystem of packages providing new functionality for data analysis. R has alsobecome popular in commercial use at companies such as Mic
Pindex Book 2015Latest edition
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Chapter 6: Probability Distributions, random) to preface the function, so for the normal distribution, . returns the density, . returns the probability associated with an area under the curve, . returns the score associated with a given probability, and . produces the desired number of randomly generated scores from a normal distribution with a given mean and standard deviation.
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Chapter 18: High-Performance Computing, that has .. Note that some of the code examples in this chapter may take some time to run. That is deliberate so it is both more realistic and starts to convey the "feel" of larger data. Making a typo can be more painful when it takes minutes or hours to get your result and you find out it is wrong and you have to run it again!
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