LEADER 05708nam 22006855 450 001 9910300469103321 005 20220627150349.0 010 $a1-4842-0130-2 024 7 $a10.1007/978-1-4842-0130-5 035 $a(CKB)3710000000324479 035 $a(EBL)1964899 035 $a(OCoLC)899211341 035 $a(SSID)ssj0001408368 035 $a(PQKBManifestationID)11856293 035 $a(PQKBTitleCode)TC0001408368 035 $a(PQKBWorkID)11346973 035 $a(PQKB)10280867 035 $a(MiAaPQ)EBC1964899 035 $a(DE-He213)978-1-4842-0130-5 035 $a(CaSebORM)9781484201305 035 $a(PPN)183147677 035 $a(EXLCZ)993710000000324479 100 $a20141224d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aR Recipes$b[electronic resource] $eA Problem-Solution Approach /$fby Larry Pace 205 $a1st ed. 2014. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2014. 215 $a1 online resource (253 p.) 225 0 $aThe Expert's Voice in R Programming 300 $aIncludes index. 311 $a1-4842-0131-0 327 $aContents at a Glance; Contents; About the Author; About the Technical Reviewer; Acknowledgments; Introduction; Chapter 1: Migrating to R: As Easy As 1, 2, 3; Getting R Up and Running on Your System; Okay, So I Have R. What's Next?; Understanding the Data Types in R; Handling Missing Data in R; Working with Vectors in R; Working with Matrices in R; Looking Backward and Forward; Chapter 2: Input and Output; Recipe 2-1. Inputting and Outputting Data; Problem; Solution; Keyboard and Monitor Access; Reading and Writing Data Files; Reading Data Files; Writing Data Files 327 $aRecipe 2-2. Cleaning Up DataProblem; Solution; Recipe 2-3. Dealing with Text Data; Problem; Solution; Recipe 2-4. Getting Data from the Internet; Problem; Solution; Chapter 3: Data Structures; Recipe 3-1. How to Work with Vectors; Problem; Solution; Recipe 3-2. How to Work with Matrices; Problem; Solution; Recipe 3-3. How to Work with Lists; Problem; Solution; Creating a List; Adding and Deleting List Components; Applying Functions to Lists; Recipe 3-4. Working with Data Frames; Problem; Solution; Creating a Data Frame and Accessing Data Frame Elements; Dealing with Missing Data, Take 2 327 $aSubsetting DataSaving Datasets; Chapter 4: Merging and Reshaping Datasets; Recipe 4-1. Merging Datasets by a Common Variable; Problem; Solution; Recipe 4-2. Adding Rows and Columns; Problem; Solution; Recipe 4-3. Reshaping a Dataset; Problem; Solution; Recipe 4-4. Stacking and Unstacking Data; Problem; Solution; Chapter 5: Working with Dates and Strings; Recipe 5-1. Working with Dates and Times; Problem; Solution; Recipe 5-2. Working with Character Strings; Problem; Solution; Creating Character Strings; Finding Patterns and Matches in Strings; Using the stringr Package 327 $aThe str_length() and str_c() FunctionsThe str_sub() Function; The str_dup() Function; Padding, Wrapping, and Trimming Strings; Extracting Words; Chapter 6: Working with Tables; Recipe 6-1. Working with One-Way Tables; Problem; Solution; Recipe 6-2. Working with Two-Way Tables; Problem; Solution; Recipe 6-3. Analyzing One- and Two-Way Tables; Problem; Solution; Recipe 6-4. Working with Higher-Order Tables; Problem; Solution; Chapter 7: Summarizing and Describing Data; Recipe 7-1. Creating Simple Frequency Distributions; Problem; Solution; Recipe 7-2. Creating Grouped Frequency Distributions 327 $aProblemSolution; Recipe 7-3. Calculating Summary Statistics; Problem; Solution; Recipe 7-4. Working with Quantiles; Problem; Solution; Chapter 8: Graphics and Data Visualization; Recipe 8-1. Getting the Colors You Want; Problem; Solution; Recipe 8-2. Using the Standard Graphs; Problem; Solution; Histograms; Bar Charts; Line Graphs; Scatterplots; Recipe 8-3. Using Graphics for Exploratory Data Analysis; Problem; Solution; Recipe 8-4. Using Graphics for Data Visualization; Problem; Solution; Chapter 9: Probability Distributions; Recipe 9-1. Finding Areas Under the Standard Normal Curve; Problem 327 $aSolution 330 $aR Recipes is your handy problem-solution reference for learning and using the popular R programming language for statistics and other numerical analysis. Packed with hundreds of code and visual recipes, this book helps you to quickly learn the fundamentals and explore the frontiers of programming, analyzing and using R. R Recipes provides textual and visual recipes for easy and productive templates for use and re-use in your day-to-day R programming and data analysis practice. Whether you're in finance, cloud computing, big or small data analytics, or other applied computational and data science - R Recipes should be a staple for your code reference library. 606 $aBig data 606 $aSoftware engineering 606 $aR (Computer program language) 606 $aBig Data$3https://scigraph.springernature.com/ontologies/product-market-codes/I29120 606 $aSoftware Engineering/Programming and Operating Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I14002 615 0$aBig data. 615 0$aSoftware engineering. 615 0$aR (Computer program language). 615 14$aBig Data. 615 24$aSoftware Engineering/Programming and Operating Systems. 676 $a519.502855133 700 $aPace$b Larry$4aut$4http://id.loc.gov/vocabulary/relators/aut$0913695 801 0$bUMI 801 1$bUMI 906 $aBOOK 912 $a9910300469103321 996 $aR Recipes$92106962 997 $aUNINA