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نویسندگان: Jd Long. Paul Teetor
سری:
ISBN (شابک) : 1492040681, 9781492040682
ناشر: O′Reilly
سال نشر: 2019
تعداد صفحات: 601
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 8 مگابایت
در صورت تبدیل فایل کتاب R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب کتاب آشپزی R: دستور العمل های اثبات شده برای تجزیه و تحلیل داده ها، آمار و گرافیک نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
https://www.oreilly.com/library/view/r-cookbook-2nd/9781492040675/
تجزیه و تحلیل داده ها را با R به سرعت و کارآمد با بیش از 275
دستور العمل عملی در این نسخه دوم توسعه یافته انجام دهید. زبان R
همه چیزهایی را که برای انجام کارهای آماری نیاز دارید فراهم می
کند، اما تسلط بر ساختار آن می تواند دشوار باشد. این دستور
العملهای وظیفهمحور شما را بلافاصله با R مفید میسازد. راه حل
ها از وظایف اساسی گرفته تا ورودی و خروجی، آمار عمومی، گرافیک و
رگرسیون خطی را شامل می شود. هر دستور غذا به یک مشکل خاص می
پردازد و شامل بحثی است که راه حل را توضیح می دهد و بینشی در
مورد نحوه عملکرد آن ارائه می دهد. اگر مبتدی هستید، R Cookbook
به شما کمک می کند تا شروع کنید. اگر کاربر متوسطی هستید، این
کتاب حافظه شما را تقویت می کند و افق های شما را گسترش می دهد.
کار را سریعتر انجام میدهید و در این فرآیند درباره R اطلاعات
بیشتری کسب خواهید کرد. ایجاد بردارها، مدیریت متغیرها و انجام
توابع اساسی ساده کردن ورودی و خروجی دادهها مقابله با ساختارهای
داده مانند ماتریسها، فهرستها، عوامل و فریمهای داده کار با
احتمال، توزیع احتمال و متغیرهای تصادفی محاسبه آمار و فواصل
اطمینان و انجام آزمونهای آماری ایجاد یک انواع نمایشگرهای
گرافیکی ساخت مدلهای آماری با رگرسیون خطی و تحلیل واریانس
(ANOVA) تکنیکهای آماری پیشرفته، مانند یافتن خوشهها در
دادههای خود را کاوش کنید.
https://www.oreilly.com/library/view/r-cookbook-2nd/9781492040675/
Perform data analysis with R quickly and efficiently with more
than 275 practical recipes in this expanded second edition. The
R language provides everything you need to do statistical work,
but its structure can be difficult to master. These
task-oriented recipes make you productive with R immediately.
Solutions range from basic tasks to input and output, general
statistics, graphics, and linear regression. Each recipe
addresses a specific problem and includes a discussion that
explains the solution and provides insight into how it works.
If you're a beginner, R Cookbook will help get you started. If
you're an intermediate user, this book will jog your memory and
expand your horizons. You'll get the job done faster and learn
more about R in the process. Create vectors, handle variables,
and perform basic functions Simplify data input and output
Tackle data structures such as matrices, lists, factors, and
data frames Work with probability, probability distributions,
and random variables Calculate statistics and confidence
intervals and perform statistical tests Create a variety of
graphic displays Build statistical models with linear
regressions and analysis of variance (ANOVA) Explore advanced
statistical techniques, such as finding clusters in your data
Cover Copyright Table of Contents Welcome to the R Cookbook, 2nd Edition The Recipes A Note on Terminology Software and Platform Notes Other Resources Conventions Used in This Book Using Code Examples O’Reilly Online Learning How to Contact Us Acknowledgments Chapter 1. Getting Started and Getting Help 1.1 Downloading and Installing R Problem Solution Discussion See Also 1.2 Installing RStudio Problem Solution Discussion 1.3 Starting RStudio Problem Solution Discussion 1.4 Entering Commands Problem Solution Discussion See Also 1.5 Exiting from RStudio Problem Solution Discussion See Also 1.6 Interrupting R Problem Solution Discussion See Also 1.7 Viewing the Supplied Documentation Problem Solution Discussion See Also 1.8 Getting Help on a Function Problem Solution Discussion See Also 1.9 Searching the Supplied Documentation Problem Solution Discussion See Also 1.10 Getting Help on a Package Problem Solution Discussion See Also 1.11 Searching the Web for Help Problem Solution Discussion See Also 1.12 Finding Relevant Functions and Packages Problem Solution Discussion See Also 1.13 Searching the Mailing Lists Problem Solution Discussion See Also 1.14 Submitting Questions to Stack Overflow or Elsewhere in the Community Problem Solution Discussion See Also Chapter 2. Some Basics 2.1 Printing Something to the Screen Problem Solution Discussion See Also 2.2 Setting Variables Problem Solution Discussion See Also 2.3 Listing Variables Problem Solution Discussion See Also 2.4 Deleting Variables Problem Solution Discussion See Also 2.5 Creating a Vector Problem Solution Discussion See Also 2.6 Computing Basic Statistics Problem Solution Discussion See Also 2.7 Creating Sequences Problem Solution Discussion See Also 2.8 Comparing Vectors Problem Solution Discussion See Also 2.9 Selecting Vector Elements Problem Solution Discussion See Also 2.10 Performing Vector Arithmetic Problem Solution Discussion See Also 2.11 Getting Operator Precedence Right Problem Solution Discussion See Also 2.12 Typing Less and Accomplishing More Problem Solution Discussion 2.13 Creating a Pipeline of Function Calls Problem Solution Discussion 2.14 Avoiding Some Common Mistakes Problem Discussion See Also Chapter 3. Navigating the Software 3.1 Getting and Setting the Working Directory Problem Solution Discussion See Also 3.2 Creating a New RStudio Project Problem Solution Discussion 3.3 Saving Your Workspace Problem Solution Discussion See Also 3.4 Viewing Your Command History Problem Solution Discussion 3.5 Saving the Result of the Previous Command Problem Solution Discussion See Also 3.6 Displaying Loaded Packages via the Search Path Problem Solution Discussion See Also 3.7 Viewing the List of Installed Packages Problem Solution Discussion See Also 3.8 Accessing the Functions in a Package Problem Solution Discussion See Also 3.9 Accessing Built-in Datasets Problem Solution Discussion See Also 3.10 Installing Packages from CRAN Problem Solution Discussion See Also 3.11 Installing a Package from GitHub Problem Solution Discussion 3.12 Setting or Changing a Default CRAN Mirror Problem Solution Discussion See Also 3.13 Running a Script Problem Solution Discussion See Also 3.14 Running a Batch Script Problem Solution Discussion See Also 3.15 Locating the R Home Directory Problem Solution Discussion 3.16 Customizing R Startup Problem Solution Discussion See Also 3.17 Using R and RStudio in the Cloud Problem Solution Discussion Chapter 4. Input and Output 4.1 Entering Data from the Keyboard Problem Solution Discussion See Also 4.2 Printing Fewer Digits (or More Digits) Problem Solution Discussion See Also 4.3 Redirecting Output to a File Problem Solution Discussion 4.4 Listing Files Problem Solution Discussion See Also 4.5 Dealing with “Cannot Open File” in Windows Problem Solution Discussion 4.6 Reading Fixed-Width Records Problem Solution Discussion See Also 4.7 Reading Tabular Data Files Problem Solution Discussion See Also 4.8 Reading from CSV Files Problem Solution Discussion See Also 4.9 Writing to CSV Files Problem Solution Discussion See Also 4.10 Reading Tabular or CSV Data from the Web Problem Solution Discussion See Also 4.11 Reading Data from Excel Problem Solution Discussion See Also 4.12 Writing a Data Frame to Excel Problem Solution Discussion See Also 4.13 Reading Data from a SAS File Problem Solution Discussion See Also 4.14 Reading Data from HTML Tables Problem Solution Discussion See Also 4.15 Reading Files with a Complex Structure Problem Solution Discussion An Example 4.16 Reading from MySQL Databases Problem Solution Discussion See Also 4.17 Accessing a Database with dbplyr Problem Solution Discussion See Also 4.18 Saving and Transporting Objects Problem Solution Discussion See Also Chapter 5. Data Structures 5.1 Appending Data to a Vector Problem Solution Discussion 5.2 Inserting Data into a Vector Problem Solution Discussion 5.3 Understanding the Recycling Rule Problem Discussion 5.4 Creating a Factor (Categorical Variable) Problem Solution Discussion See Also 5.5 Combining Multiple Vectors into One Vector and a Factor Problem Solution Discussion 5.6 Creating a List Problem Solution Discussion See Also 5.7 Selecting List Elements by Position Problem Solution Discussion 5.8 Selecting List Elements by Name Problem Solution Discussion See Also 5.9 Building a Name/Value Association List Problem Solution Discussion 5.10 Removing an Element from a List Problem Solution Discussion 5.11 Flattening a List into a Vector Problem Solution Discussion See Also 5.12 Removing NULL Elements from a List Problem Solution Discussion See Also 5.13 Removing List Elements Using a Condition Problem Solution Discussion See Also 5.14 Initializing a Matrix Problem Solution Discussion See Also 5.15 Performing Matrix Operations Problem Solution Discussion 5.16 Giving Descriptive Names to the Rows and Columns of a Matrix Problem Solution Discussion 5.17 Selecting One Row or Column from a Matrix Problem Solution Discussion 5.18 Initializing a Data Frame from Column Data Problem Solution Discussion 5.19 Initializing a Data Frame from Row Data Problem Solution Discussion See Also 5.20 Appending Rows to a Data Frame Problem Solution Discussion 5.21 Selecting Data Frame Columns by Position Problem Solution Discussion See Also 5.22 Selecting Data Frame Columns by Name Problem Solution Discussion See Also 5.23 Changing the Names of Data Frame Columns Problem Solution Discussion See Also 5.24 Removing NAs from a Data Frame Problem Solution Discussion 5.25 Excluding Columns by Name Problem Solution Discussion 5.26 Combining Two Data Frames Problem Solution Discussion 5.27 Merging Data Frames by Common Column Problem Solution Discussion See Also 5.28 Converting One Atomic Value into Another Problem Solution Discussion 5.29 Converting One Structured Data Type into Another Problem Solution Discussion See Also Chapter 6. Data Transformations 6.1 Applying a Function to Each List Element Problem Solution Discussion See Also 6.2 Applying a Function to Every Row of a Data Frame Problem Solution Discussion 6.3 Applying a Function to Every Row of a Matrix Problem Solution Discussion 6.4 Applying a Function to Every Column Problem Solution Discussion See Also 6.5 Applying a Function to Parallel Vectors or Lists Problem Solution Discussion See Also 6.6 Applying a Function to Groups of Data Problem Solution Discussion 6.7 Creating a New Column Based on Some Condition Problem Solution Discussion See Also Chapter 7. Strings and Dates 7.1 Getting the Length of a String Problem Solution Discussion 7.2 Concatenating Strings Problem Solution Discussion 7.3 Extracting Substrings Problem Solution Discussion 7.4 Splitting a String According to a Delimiter Problem Solution Discussion See Also 7.5 Replacing Substrings Problem Solution Discussion See Also 7.6 Generating All Pairwise Combinations of Strings Problem Solution Discussion See Also 7.7 Getting the Current Date Problem Solution Discussion See Also 7.8 Converting a String into a Date Problem Solution Discussion 7.9 Converting a Date into a String Problem Solution Discussion 7.10 Converting Year, Month, and Day into a Date Problem Solution Discussion 7.11 Getting the Julian Date Problem Solution Discussion 7.12 Extracting the Parts of a Date Problem Solution Discussion 7.13 Creating a Sequence of Dates Problem Solution Discussion Chapter 8. Probability 8.1 Counting the Number of Combinations Problem Solution Discussion See Also 8.2 Generating Combinations Problem Solution Discussion See Also 8.3 Generating Random Numbers Problem Solution Discussion See Also 8.4 Generating Reproducible Random Numbers Problem Solution Discussion See Also 8.5 Generating a Random Sample Problem Solution Discussion See Also 8.6 Generating Random Sequences Problem Solution Discussion 8.7 Randomly Permuting a Vector Problem Solution Discussion See Also 8.8 Calculating Probabilities for Discrete Distributions Problem Solution Discussion See Also 8.9 Calculating Probabilities for Continuous Distributions Problem Solution Discussion See Also 8.10 Converting Probabilities to Quantiles Problem Solution Discussion See Also 8.11 Plotting a Density Function Problem Solution Discussion Chapter 9. General Statistics 9.1 Summarizing Your Data Problem Solution Discussion See Also 9.2 Calculating Relative Frequencies Problem Solution Discussion 9.3 Tabulating Factors and Creating Contingency Tables Problem Solution Discussion See Also 9.4 Testing Categorical Variables for Independence Problem Solution Discussion See Also 9.5 Calculating Quantiles (and Quartiles) of a Dataset Problem Solution Discussion 9.6 Inverting a Quantile Problem Solution Discussion See Also 9.7 Converting Data to z-Scores Problem Solution Discussion 9.8 Testing the Mean of a Sample (t-Test) Problem Solution Discussion See Also 9.9 Forming a Confidence Interval for a Mean Problem Solution Discussion 9.10 Forming a Confidence Interval for a Median Problem Solution Discussion See Also 9.11 Testing a Sample Proportion Problem Solution Discussion 9.12 Forming a Confidence Interval for a Proportion Problem Solution Discussion See Also 9.13 Testing for Normality Problem Solution Discussion See Also 9.14 Testing for Runs Problem Solution Discussion See Also 9.15 Comparing the Means of Two Samples Problem Solution Discussion See Also 9.16 Comparing the Locations of Two Samples Nonparametrically Problem Solution Discussion See Also 9.17 Testing a Correlation for Significance Problem Solution Discussion See Also 9.18 Testing Groups for Equal Proportions Problem Solution Discussion See Also 9.19 Performing Pairwise Comparisons Between Group Means Problem Solution Discussion See Also 9.20 Testing Two Samples for the Same Distribution Problem Solution Discussion Chapter 10. Graphics 10.1 Creating a Scatter Plot Problem Solution Discussion See Also 10.2 Adding a Title and Labels Problem Solution Discussion 10.3 Adding (or Removing) a Grid Problem Solution Discussion See Also 10.4 Applying a Theme to a ggplot Figure Problem Solution Discussion See Also 10.5 Creating a Scatter Plot of Multiple Groups Problem Solution Discussion See Also 10.6 Adding (or Removing) a Legend Problem Solution Discussion 10.7 Plotting the Regression Line of a Scatter Plot Problem Solution Discussion See Also 10.8 Plotting All Variables Against All Other Variables Problem Solution Discussion 10.9 Creating One Scatter Plot for Each Group Problem Solution Discussion See Also 10.10 Creating a Bar Chart Problem Solution Discussion See Also 10.11 Adding Confidence Intervals to a Bar Chart Problem Solution Discussion See Also 10.12 Coloring a Bar Chart Problem Solution Discussion See Also 10.13 Plotting a Line from x and y Points Problem Solution Discussion See Also 10.14 Changing the Type, Width, or Color of a Line Problem Solution Discussion See Also 10.15 Plotting Multiple Datasets Problem Solution Discussion 10.16 Adding Vertical or Horizontal Lines Problem Solution Discussion See Also 10.17 Creating a Boxplot Problem Solution Discussion See Also 10.18 Creating One Boxplot for Each Factor Level Problem Solution Discussion See Also 10.19 Creating a Histogram Problem Solution Discussion See Also 10.20 Adding a Density Estimate to a Histogram Problem Solution Discussion See Also 10.21 Creating a Normal Quantile–Quantile Plot Problem Solution Discussion See Also 10.22 Creating Other Quantile–Quantile Plots Problem Solution Discussion 10.23 Plotting a Variable in Multiple Colors Problem Solution Discussion See Also 10.24 Graphing a Function Problem Solution Discussion See Also 10.25 Displaying Several Figures on One Page Problem Solution Discussion See Also 10.26 Writing Your Plot to a File Problem Solution Discussion See Also Chapter 11. Linear Regression and ANOVA 11.1 Performing Simple Linear Regression Problem Solution Discussion 11.2 Performing Multiple Linear Regression Problem Solution Discussion See Also 11.3 Getting Regression Statistics Problem Solution Discussion See Also 11.4 Understanding the Regression Summary Problem Discussion See Also 11.5 Performing Linear Regression Without an Intercept Problem Solution Discussion 11.6 Regressing Only Variables That Highly Correlate with Your Dependent Variable Problem Solution Discussion 11.7 Performing Linear Regression with Interaction Terms Problem Solution Discussion See Also 11.8 Selecting the Best Regression Variables Problem Solution Discussion See Also 11.9 Regressing on a Subset of Your Data Problem Solution Discussion 11.10 Using an Expression Inside a Regression Formula Problem Solution Discussion See Also 11.11 Regressing on a Polynomial Problem Solution Discussion See Also 11.12 Regressing on Transformed Data Problem Solution Discussion See Also 11.13 Finding the Best Power Transformation (Box–Cox Procedure) Problem Solution Discussion See Also 11.14 Forming Confidence Intervals for Regression Coefficients Problem Solution Discussion See Also 11.15 Plotting Regression Residuals Problem Solution Discussion See Also 11.16 Diagnosing a Linear Regression Problem Solution Discussion See Also 11.17 Identifying Influential Observations Problem Solution Discussion See Also 11.18 Testing Residuals for Autocorrelation (Durbin–Watson Test) Problem Solution Discussion See Also 11.19 Predicting New Values Problem Solution Discussion See Also 11.20 Forming Prediction Intervals Problem Solution Discussion 11.21 Performing One-Way ANOVA Problem Solution Discussion See Also 11.22 Creating an Interaction Plot Problem Solution Discussion See Also 11.23 Finding Differences Between Means of Groups Problem Solution Discussion See Also 11.24 Performing Robust ANOVA (Kruskal–Wallis Test) Problem Solution Discussion 11.25 Comparing Models by Using ANOVA Problem Solution Discussion Chapter 12. Useful Tricks 12.1 Peeking at Your Data Problem Solution Discussion See Also 12.2 Printing the Result of an Assignment Problem Solution Discussion See Also 12.3 Summing Rows and Columns Problem Solution Discussion 12.4 Printing Data in Columns Problem Solution Discussion 12.5 Binning Your Data Problem Solution Discussion 12.6 Finding the Position of a Particular Value Problem Solution Discussion See Also 12.7 Selecting Every nth Element of a Vector Problem Solution Discussion See Also 12.8 Finding Minimums or Maximums Problem Solution Discussion See Also 12.9 Generating All Combinations of Several Variables Problem Solution Discussion See Also 12.10 Flattening a Data Frame Problem Solution Discussion See Also 12.11 Sorting a Data Frame Problem Solution Discussion 12.12 Stripping Attributes from a Variable Problem Solution Discussion See Also 12.13 Revealing the Structure of an Object Problem Solution Discussion 12.14 Timing Your Code Problem Solution Discussion 12.15 Suppressing Warnings and Error Messages Problem Solution Discussion See Also 12.16 Taking Function Arguments from a List Problem Solution Discussion See Also 12.17 Defining Your Own Binary Operators Problem Solution Discussion See Also 12.18 Suppressing the Startup Message Problem Solution Discussion 12.19 Getting and Setting Environment Variables Problem Solution Discussion See Also 12.20 Use Code Sections Problem Solution Discussion See Also 12.21 Executing R in Parallel Locally Problem Solution Discussion See Also 12.22 Executing R in Parallel Remotely Problem Solution Discussion See Also Chapter 13. Beyond Basic Numerics and Statistics 13.1 Minimizing or Maximizing a Single-Parameter Function Problem Solution Discussion See Also 13.2 Minimizing or Maximizing a Multiparameter Function Problem Solution Discussion See Also 13.3 Calculating Eigenvalues and Eigenvectors Problem Solution Discussion 13.4 Performing Principal Component Analysis Problem Solution Discussion See Also 13.5 Performing Simple Orthogonal Regression Problem Solution Discussion See Also 13.6 Finding Clusters in Your Data Problem Solution Discussion See Also 13.7 Predicting a Binary-Valued Variable (Logistic Regression) Problem Solution Discussion See Also 13.8 Bootstrapping a Statistic Problem Solution Discussion See Also 13.9 Factor Analysis Problem Solution Discussion See Also Chapter 14. Time Series Analysis 14.1 Representing Time Series Data Problem Solution Discussion See Also 14.2 Plotting Time Series Data Problem Solution Discussion See Also 14.3 Extracting the Oldest or Newest Observations Problem Solution Discussion See Also 14.4 Subsetting a Time Series Problem Solution Discussion See Also 14.5 Merging Several Time Series Problem Solution Discussion 14.6 Filling or Padding a Time Series Problem Solution Discussion 14.7 Lagging a Time Series Problem Solution Discussion 14.8 Computing Successive Differences Problem Solution Discussion 14.9 Performing Calculations on Time Series Problem Solution Discussion See Also 14.10 Computing a Moving Average Problem Solution Discussion See Also 14.11 Applying a Function by Calendar Period Problem Solution Discussion 14.12 Applying a Rolling Function Problem Solution Discussion 14.13 Plotting the Autocorrelation Function Problem Solution Discussion 14.14 Testing a Time Series for Autocorrelation Problem Solution Discussion See Also 14.15 Plotting the Partial Autocorrelation Function Problem Solution Discussion See Also 14.16 Finding Lagged Correlations Between Two Time Series Problem Solution Discussion 14.17 Detrending a Time Series Problem Solution Discussion 14.18 Fitting an ARIMA Model Problem Solution Discussion See Also 14.19 Removing Insignificant ARIMA Coefficients Problem Solution Discussion 14.20 Running Diagnostics on an ARIMA Model Problem Solution Discussion 14.21 Making Forecasts from an ARIMA Model Problem Solution Discussion 14.22 Plotting a Forecast Problem Solution Discussion See Also 14.23 Testing for Mean Reversion Problem Solution Discussion See Also 14.24 Smoothing a Time Series Problem Solution Discussion See Also Chapter 15. Simple Programming 15.1 Choosing Between Two Alternatives: if/else Problem Solution Discussion See Also 15.2 Iterating with a Loop Problem Solution Discussion See Also 15.3 Defining a Function Problem Solution Discussion See Also 15.4 Creating a Local Variable Problem Solution Discussion 15.5 Choosing Between Multiple Alternatives: switch Problem Solution Discussion See Also 15.6 Defining Defaults for Function Parameters Problem Solution Discussion 15.7 Signaling Errors Problem Solution Discussion See Also 15.8 Protecting Against Errors Problem Solution Discussion See Also 15.9 Creating an Anonymous Function Problem Solution Discussion See Also 15.10 Creating a Collection of Reusable Functions Problem Solution Discussion See Also 15.11 Automatically Reindenting Code Problem Solution Discussion See Also Chapter 16. R Markdown and Publishing 16.1 Creating a New Document Problem Solution Discussion 16.2 Adding a Title, Author, or Date Problem Solution Discussion See Also 16.3 Formatting Document Text Problem Solution See Also 16.4 Inserting Document Headings Problem Solution Discussion 16.5 Inserting a List Problem Solution Discussion See Also 16.6 Showing Output from R Code Problem Solution Discussion See Also 16.7 Controlling Which Code and Results Are Shown Problem Solution Discussion See Also 16.8 Inserting a Plot Problem Solution Discussion 16.9 Inserting a Table Problem Solution Discussion See Also 16.10 Inserting a Table of Data Problem Solution Discussion 16.11 Inserting Math Equations Problem Solution Discussion 16.12 Generating HTML Output Problem Solution Discussion See Also 16.13 Generating PDF Output Problem Solution Discussion See Also 16.14 Generating Microsoft Word Output Problem Solution Discussion See Also 16.15 Generating Presentation Output Problem Solution Discussion See Also 16.16 Creating a Parameterized Report Problem Solution Discussion See Also 16.17 Organizing Your R Markdown Workflow Problem Solution See Also Index About the Authors