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Auteur : Krishna Rungta
Catégorie : Livres anglais et étrangers,Computers & Internet,Software
Broché : * pages
Éditeur : *
Langue : Français, Anglais

R is a programming language developed is widely used for statistical and graphical analysis. It can execute advance machine learning algorithms including earning algorithm, linear regression, time series, statistical inference.R programming language is used by Fortune 500 companies and tech bellwethers like Uber, Google, Airbnb, Facebook, Apple.R provides a data scientist tools and libraries (Dplyr) to perform the 3 steps of analysis 1) Extract 2) Transform, Cleanse 3) Analyze.Table of ContentsChapter 1: What is R Programming Language? Introduction & BasicsChapter 2: How to Download & Install R, RStudio, Anaconda on Mac or WindowsChapter 3: R Data Types, Arithmetic & Logical Operators with ExampleChapter 4: R Matrix Tutorial: Create, Print, add Column, SliceChapter 5: Factor in R: Categorical & Continuous VariablesChapter 6: R Data Frame: Create, Append, Select, SubsetChapter 7: List in R: Create, Select Elements with ExampleChapter 8: R Sort a Data Frame using Order()Chapter 9: R Dplyr Tutorial: Data Manipulation(Join) & Cleaning(Spread)Chapter 10: Merge Data Frames in R: Full and Partial MatchChapter 11: Functions in R Programming (with Example)Chapter 12: IF, ELSE, ELSE IF Statement in RChapter 13: For Loop in R with Examples for List and MatrixChapter 14: While Loop in R with ExampleChapter 15: apply(), lapply(), sapply(), tapply() Function in R with ExamplesChapter 16: Import Data into R: Read CSV, Excel, SPSS, Stata, SAS FilesChapter 17: How to Replace Missing Values(NA) in R: na.omit & na.rmChapter 18: R Exporting Data to Excel, CSV, SAS, STATA, Text FileChapter 19: Correlation in R: Pearson & Spearman with Matrix ExampleChapter 20: R Aggregate Function: Summarise & Group_by() ExampleChapter 21: R Select(), Filter(), Arrange(), Pipeline with ExampleChapter 22: Scatter Plot in R using ggplot2 (with Example)Chapter 23: How to make Boxplot in R (with EXAMPLE)Chapter 24: Bar Chart & Histogram in R (with Example)Chapter 25: T Test in R: One Sample and Paired (with Example)Chapter 26: R ANOVA Tutorial: One way & Two way (with Examples)Chapter 27: R Simple, Multiple Linear and Stepwise Regression [with Example]Chapter 28: Decision Tree in R with ExampleChapter 29: R Random Forest Tutorial with ExampleChapter 30: Generalized Linear Model (GLM) in R with ExampleChapter 31: K-means Clustering in R with ExampleChapter 32: R Vs Python: What's the Difference?Chapter 33: SAS vs R: What's the Difference?

Télécharger Learn R Programming in 1 Day: Complete Guide for Beginners de Krishna Rungta Francais PDF

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