R for dummies: [Learn to: use R for data analysis and processing, write functions and scripts for repeatable analysis, create high-quality charts and graphics, perform statistical analysis and build models]
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, NJ
Wiley
2015
|
| Ausgabe: | 2. ed. |
| Schriftenreihe: | ... for dummies
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Inhaltsverzeichnis |
| Beschreibung: | XII, 418 S. Ill., graph. Darst. |
| ISBN: | 9781119055808 |
Internformat
MARC
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| 245 | 1 | 0 | |a R for dummies |b [Learn to: use R for data analysis and processing, write functions and scripts for repeatable analysis, create high-quality charts and graphics, perform statistical analysis and build models] |c by Andrie de Vries and Joris Meys |
| 250 | |a 2. ed. | ||
| 264 | 1 | |a Hoboken, NJ |b Wiley |c 2015 | |
| 300 | |a XII, 418 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
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Datensatz im Suchindex
| _version_ | 1826929484395184128 |
|---|---|
| adam_text |
Titel: R for dummies
Autor: De Vries, Andrie
Jahr: 2015
® # n* m m Table of Contents Introduction . 1 About This Book.1 Changes in the Second Edition.2 Conventions Used in This Book.3 What You’re Not to Read.4 Foolish Assumptions.4 How This Book Is Organized.5 Part I: Getting Started with R Programming.5 Part II: Getting Down to Work in R.5 Part III: Coding in R.5 Part IV: Making the Data Talk.5
Part V: Working with Graphics.6 Part VI: The Part of Tens.6 Icons Used in This Book.6 Beyond the Book.7 Where to Go from Here.7 Part I: Getting Started lOitfi R Programming . 9 Chapter 1: Introducing R: The Big Picture.11 Recognizing the Benefits of Using R.12 It comes as free, open-source code.12 It runs anywhere.13 It supports extensions.13
It provides an engaged community.13 It connects with other languages.14 Looking At Some of the Unique Features of R.15 Performing multiple calculations with vectors.15 Processing more than just statistics.16 Running code without a compiler.16 Chapter 2: Exploring R.19 Working with a Code Editor.20 Exploring RGui. 21 Dressing up with RStudio.23 Starting Your First R Session.25 Saying hello to the world. 25 Doing simple math.26 Using vectors.26
aV R For Dummies_ Storing and calculating values.27 Talking back to the user.28 Sourcing a Script.29 Echoing your work.30 Navigating the Environment.32 Manipulating the content of the environment.32 Saving your work.33 Retrieving your work.34 Chapter 3: The Fundamentals of R.35 Using the Full Power of Functions.35 Vectorizing your functions.36
Putting the argument in a function.37 Making history.39 Keeping Your Code Readable.40 Following naming conventions.40 Structuring your code.43 Adding comments.45 Getting from Base R to More.45 Finding packages.45 Installing packages.46 Loading and unloading packages.46 Part II: Getting bourn to Work in
R . b9 Chapter 4: Getting Started with Arithmetic.51 Working with Numbers, Infinity, and Missing Values.51 Doing basic arithmetic.52 Using mathematical functions.54 Calculating whole vectors.57 To infinity and beyond.58 Organizing Data in Vectors.60 Discovering the properties of vectors.61 Creating vectors.63 Combining vectors.64 Repeating vectors.64 Getting Values in and out of Vectors.65 Understanding indexing in R.65 Extracting values from a vector.66 Changing values in a vector.67 Working with Logical Vectors.68 Comparing values.69 Using logical vectors as indices.70
Table of Contents Combining logical statements.71 Summarizing logical vectors.72 Powering Up Your Math.73 Using arithmetic vector operations.73 Recycling arguments. 76 Chapter 5: Getting Started with Reading and Writing.79 Using Character Vectors for Text Data.79 Assigning a value to a character vector.80 Creating a character vector with more than one element.80 Extracting a subset of a vector.81 Naming the values in your vectors.82 Manipulating Text.84
String theory: Combining and splitting strings.84 Sorting text.88 Finding text inside text.89 Substituting text.91 Revving up with regular expressions.92 Factoring in Factors.94 Creating a factor.95 Converting a factor.96 Looking at levels.98 Distinguishing data types.99 Working with ordered
factors.100 Chapter 6: Going on a Date with R.103 Working with Dates.104 Presenting Dates in Different Formats.106 Adding Time Information to Dates.107 Formatting Dates and Times.109 Performing Operations on Dates and Times.109 Addition and subtraction. 109 Comparison of dates.110 Extraction.Ill Chapter 7: Working in More Dimensions.113 Adding a Second Dimension.113 Discovering a new dimension.114 Combining vectors into a matrix.117 Using the Indices.118 Extracting values from a matrix.118 Replacing values in a matrix.120 Naming Matrix Rows and Columns.121 Changing the row and column names.122 Using names as indices.123
R For Dummies Calculating with Matrices.123 Using standard operations with matrices.124 Calculating row and column summaries.125 Doing matrix arithmetic.126 Adding More Dimensions.127 Creating an array. 128 Using dimensions to extract values.129 Combining Different Types of Values in a Data Frame.130 Creating a data frame from a matrix.130 Creating a data frame from scratch.132 Naming variables and observations.133 Manipulating Values in a Data Frame.134
Extracting variables, observations, and values.135 Adding observations to a data frame.136 Adding variables to a data frame.139 Combining Different Objects in a List.140 Creating a list.141 Extracting components from lists.142 Changing the components in lists.144 Reading the output of strQ for lists.146 Seeing the forest through the trees.:.148 Part III: Coding in R . 149 Chapter 8: Putting the Fun in Functions.151 Moving from Scripts to Functions.151
Making the script.152 Transforming the script.153 Using the function.154 Reducing the number of lines.155 Using Arguments the Smart Way.157 Adding more arguments.157 Conjuring tricks with dots.159 Using functions as arguments.161 Coping with Scoping.163 Crossing the borders.164 Dispatching to a Method.165 Finding the methods behind the function.166 Doing it yourself.168 Chapter 9: Controlling the Logical Flow.171 Making Choices with if Statements.172 Doing Something Else with an if. .else Statement.174
Table of Contents Vectorizing Choices.176 Looking at the problem.176 Choosing based on a logical vector.176 Making Multiple Choices.178 Chaining if. .else statements.178 Switching between possibilities.180 Looping Through Values.181 Constructing a for loop.181 Calculating values in a for loop.182 Looping without Loops: Meeting the Apply Family.184 Looking at the family features.185
Meeting three of the members.185 Applying functions on rows and columns.186 Applying functions to listlike objects.188 Chapter 10: Debugging Your Code.193 Knowing What to Look For.193 Reading Errors and Warnings.194 Reading error messages.194 Caring about warnings (or not).195 Going Bug Hunting.197 Calculating the logit.197 Knowing where an error comes from.197 Looking
inside a function.198 Generating Your Own Messages.202 Creating errors.203 Creating warnings.203 Recognizing the Mistakes You’re Sure to Make.204 Starting with the wrong data.204 Having your data in the wrong format.205 Chapter 11: Getting Help.209 Finding Information in the R Help Files.209 When you know exactly what you’re looking for.210 When you don’t know exactly what you’re looking for.211 Searching the Web for Help with R.212 Getting Involved in the R Community.213 Discussing R on Stack Overflow and Stack Exchange.213 Using the R mailing lists.214 Tweeting about R.215 Making a Minimal Reproducible Example.215 Creating sample data with random values.215 Producing minimal code.217 Providing the necessary information.217
R For Dummies Part W: Making the Data Talk . 219 Chapter 12: Getting Data into and out of R.221 Getting Data into R.221 Entering data in the R tekt editor.222 Using the Clipboard to copy and paste.223 Reading data in CSV files.225 Reading data from Excel.229 Working with other data types.230 Getting Your Data out of R.232 Working with Files and Folders.233 Understanding the working directory.233 Manipulating
files.234 Chapter 13: Manipulating and Processing Data.239 Deciding on the Most Appropriate Data Structure.239 Creating Subsets of Your Data.241 Understanding the three subset operators.241 Understanding the five ways of specifying the subset.242 Subsetting data frames.242 Adding Calculated Fields to Data.247 Doing arithmetic on columns of a data frame.247 Using with and transform to improve code readability.248 Creating subgroups or bins of data.249 Combining and Merging Data Sets.251
Creating sample data to illustrate merging.252 Using the merge() function.253 Working with lookup tables.255 Sorting and Ordering Data.257 Sorting vectors.257 Sorting data frames.258 Traversing Your Data with the Apply Functions.260 Using the apply() function to summarize arrays.261 Using lapply() and sapply() to traverse a list or data frame.263 Using tapply() to create tabular summaries.264 Getting to Know the Formula Interface.266 Whipping Your Data into Shape.268 Understanding data in long and wide formats.269 Getting started with the reshape2 package.270 Melting data to long format.270 Casting data to wide format.271
Table of Contents IK Chapter 14: Summarizing Data.275 Starting with the Right Data.275 Using factors or numeric data.276 Counting unique values.277 Preparing the data.277 Describing Continuous Variables.278 Talking about the center of your data.278 Describing the variation.279 Checking the quantiles.279 Describing Categories.281 Counting appearances.281
Calculating proportions.282 Finding the center.282 Describing Distributions.283 Plotting histograms.283 Using frequencies or densities.285 Describing Multiple Variables.287 Summarizing a complete dataset.287 Plotting quantiles for subgroups.288 Tracking correlations.290 Working with Tables.293 Creating a two-way table.294
Converting tables to a data frame.295 Looking at margins and proportions.296 Chapter 15: Testing Differences and Relations.299 Taking a Closer Look at Distributions.300 Observing beavers.300 Testing normality graphically.301 Using quantile plots.302 Testing normality in a formal way.304 Comparing Two Samples.305 Testing differences.305 Comparing paired data.308 Testing Counts and Proportions.309 Checking out proportions.309 Analyzing tables.310 Extracting test results.312 Working with Models. 313 Analyzing variances.313 Evaluating the differences.315 Modeling linear relations.318 Evaluating linear models.320 Predicting new values.323
R For Dummies Part V: Working With Graphics . 325 Chapter 16: Using Base Graphics.327 Creating Different Types of Plots.327 Getting an overview of plot.328 Adding points and lines to a plot.329 Different plot types.332 Controlling Plot Options and Arguments.334 Adding titles and axis labels.335 Changing plot options.335 Putting multiple plots on a single page.339 Saving Graphics to Image Files.340 Chapter
17: Creating Faceted Graphics with Lattice.343 Creating a Lattice Plot.344 Loading the lattice package.345 Making a lattice scatterplot. 345 Adding trend lines.346 Changing Plot Options.348 Adding titles and labels.348 Changing the font size of titles and labels.349 Using themes to modify plot options.350 Plotting Different Types.351 Making a bar chart.352 Making
a box-and-whisker plot.353 Plotting Data in Groups.354 Using data in tall format.354 Creating a chart with groups.356 Adding a key.356 Printing and Saving a Lattice Plot.357 Assigning a lattice plot to an object.358 Printing a lattice plot in a script.358 Saving a lattice plot to file.358 Chapter 18: Looking At ggplot2 Graphics.361 Installing and Loading ggplot2.361
Looking At Layers.362 Using Geoms and Stats.363 Defining what data to use.364 Mapping data to plot aesthetics.364 Getting geoms.365 Sussing Stats.369 Adding Facets, Scales, and Options.371 Adding facets.371 Changing options.372 Getting More Information.374
Table of Contents XI Part Vi: The Part of Tens . 375 Chapter 19: Ten Things You Can Do in R That You Would've Done in Microsoft Excel. .377 Adding Row and Column Totals.377 Formatting Numbers.378 Sorting Data.380 Making Choices with If.380 Calculating Conditional Totals.381 Transposing Columns or Rows.382 Finding Unique or Duplicated Values.383 Working with Lookup Tables.383 Working
with Pivot Tables.384 Using the Goal Seek and Solver.385 Chapter 20: Ten Tips on Working with Packages.387 Poking Around the Nooks and Crannies of CRAN .387 Finding Interesting Packages.388 Installing Packages.389 Loading Packages.389 Reading the Package Manual and Vignette.390 Updating Packages.390 Forging Ahead with R-Forge.391 Getting packages from github.392
Conducting Installations from BioConductor.392 Reading the R Manual.393 Appendix A: Installing R and RStudio.395 Installing and Configuring R.395 Installing R.395 Configuring R.396 Installing and Configuring RStudio.398 Installing RStudio.398 Configuring RStudio.398 Appendix B: The rfordummies Package.401 Using rfordummies.401 index . 03
Table of Contents
About This Book.1
Changes in the Second Edition.2
Conventions Used in This Book.3
What You’re Not to Read.4
Foolish Assumptions. 4
How This Book Is Organized.5
Part I: Getting Started with R Programming.5
Part II: Getting Down to Work in R.5
Part III: Coding inR.5
Part IV: Making the Data Talk.5
Part V: Working with Graphics.6
Part VI: The Part of Tens.6
Icons Used in This Book.6
Beyond the Book.7
Where to Go from Here.7
Part /; Getting Started With R Programming.9
Chapter 1: Introducing R: The Big Picture.11
Recognizing the Benefits of Using R.12
It comes as free, open-source code.12
It runs anywhere.13
It supports extensions.13
It provides an engaged community.13
It connects with other languages.14
Looking At Some of the Unique Features of R.15
Performing multiple calculations with vectors.15
Processing more than just statistics.16
Running code without a compiler.16
Chapter 2: Exploring R. 19
Working with a Code Editor. 20
Exploring RGui.21
Dressing up with RStudio.23
Starting Your First R Session.25
Saying hello to the world.25
Doing simple math.26
Using vectors.26
R For Dummies
Storing and calculating values.27
Talking back to the user.28
Sourcing a Script.29
Echoing your work.30
Navigating the Environment.32
Manipulating the content of the environment.32
Saving your work.33
Retrieving your work.34
Chapter 3: The Fundamentals of R.35
Using the Full Power of Functions.35
Vectorizing your functions.36
Putting the argument in a function.37
Making history.39
Keeping Your Code Readable.40
Following naming conventions.40
Structuring your code. 43
Adding comments.45
Getting from Base R to More.45
Finding packages.45
Installing packages.46
Loading and unloading packages. 46
Part II: Getting bouin to Work in .
Chapter 4: Getting Started with Arithmetic.51
Working with Numbers, Infinity, and Missing Values.51
Doing basic arithmetic. 52
Using mathematical functions.54
Calculating whole vectors.57
To infinity and beyond.58
Organizing Data in Vectors.60
Discovering the properties of vectors.61
Creating vectors. 63
Combining vectors.64
Repeating vectors. 64
Getting Values in and out of Vectors.65
Understanding indexing in R.65
Extracting values from a vector.66
Changing values in a vector.67
Working with Logical Vectors.68
Comparing values.69
Using logical vectors as indices.70
Table of Contents 0
Combining logical statements.71
Summarizing logical vectors.!.72
Powering Up Your Math.73
Using arithmetic vector operations.73
Recycling arguments.76
Chapter 5: Getting Started with Reading and Writing.79
Using Character Vectors for Text Data.79
Assigning a value to a character vector.80
Creating a character vector with more than one element.80
Extracting a subset of a vector.81
Naming the values in your vectors.82
Manipulating Text. 84
String theory: Combining and splitting strings.84
Sorting text.88
Finding text inside text. 89
Substituting text.91
Revving up with regular expressions.92
Factoring in Factors.94
Creating a factor.:.95
Converting a factor.96
Looking at levels.98
Distinguishing data types.99
Working with ordered factors.100
Chapter 6: Going on a Date with R. 103
Working with Dates.104
Presenting Dates in Different Formats.106
Adding Time Information to Dates.107
Formatting Dates and Times.109
Performing Operations on Dates and Times.109
Addition and subtraction.109
Comparison of dates.110
Extraction.?, .t.Ill
Chapter 7: Working in More Dimensions.113
Adding a Second Dimension.113
Discovering a new dimension.114
Combining vectors into a matrix.117
Using the Indices.118
Extracting values from a matrix.118
Replacing values in a matrix.120
Naming Matrix Rows and Columns.121
Changing the row and column names.122
Using names as indices.123
R For Dummies
Calculating with Matrices.123
Using standard operations with matrices.124
Calculating row and column summaries.125
Doing matrix arithmetic.126
Adding More Dimensions.127
Creating an array.128
Using dimensions to extract values.129
Combining Different Types of Values in a Data Frame.130
Creating a data frame from a matrix.130
Creating a data frame from scratch.132
Naming variables and observations.133
Manipulating Values in a Data Frame.134
Extracting variables, observations, and values.135
Adding observations to a data frame.136
Adding variables to a data frame.139
Combining Different Objects in a List.140
Creating a list.141
Extracting components from lists.142
Changing the components in lists.144
Reading the output of str() for lists.146
Seeing the forest through the trees.148
Part III: Coding in R. 1M
Chapter 8: Putting the Fun in Functions.151
Moving from Scripts to Functions.151
Making the script.152
Transforming the script.153
Using the function.154
Reducing the number of lines.155
Using Arguments the Smart Way.157
Adding more arguments.157
Conjuring tricks with dots.159
Using functions as arguments.161
Coping with Scoping.163
Crossing the borders.164
Dispatching to a Method. 165
Finding the methods behind the function.166
Doing it yourself.168
Chapter 9: Controlling the Logical Flow.171
Making Choices with if Statements.172
Doing Something Else with an if. .else Statement.174
Table of Contents
Vectorizing Choices.176
Looking at the problem.176
Choosing based on a logical vector.176
Making Multiple Choices.178
Chaining if. .else statements. 178
Switching between possibilities.180
Looping Through Values.181
Constructing a for loop.181
Calculating values in a for loop.182
Looping without Loops: Meeting the Apply Family.184
Looking at the family features.185
Meeting three of the members.185
Applying functions on rows and columns.186
Applying functions to listlike objects.188
Chapter 10: Debugging Your Code.193
Knowing What to Look For.193
Reading Errors and Warnings.194
Reading error messages.194
Caring about warnings (or not).195
Going Bug Hunting.197
Calculating the logit.197
Knowing where an error comes from.197
Looking inside a function.198
Generating Your Own Messages.202
Creating errors.203
Creating warnings. 203
Recognizing the Mistakes You’re Sure to Make.204
Starting with the wrong data.204
Having your data in the wrong format.205
Chapter 11: Getting Help.209
Finding Information in the R Help Files.209
When you know exactly what you’re looking for.210
When you don’t know exactly what you’re looking for.211
Searching the Web for Help with R.212
Getting Involved in the R Community.213
Discussing R on Stack Overflow and Stack Exchange.213
Using the R mailing lists.214
Tweeting about R.215
Making a Minimal Reproducible Example.215
Creating sample data with random values.215
Producing minimal code.217
Providing the necessary information.217
(/Hi R For Dummies--------------------------------------------------------------------;---
Part W: Making the Bata Talk. 219
Chapter 12: Getting Data into and out of R.221
Getting Data into R.221
Entering data in the R text editor.222
Using the Clipboard to copy and paste.223
Reading data in CSV files.225
Reading data from Excel.229
Working with other data types.230
Getting Your Data out of R.232
Working with Files and Folders.233
Understanding the working directory.233
Manipulating files.234
Chapter 13: Manipulating and Processing Data.239
Deciding on the Most Appropriate Data Structure.239
Creating Subsets of Your Data.241
Understanding the three subset operators.241
Understanding the five ways of specifying the subset.242
Subsetting data frames.242
Adding Calculated Fields to Data.*.247
Doing arithmetic on columns of a data frame.247
Using with and transform to improve code readability.248
Creating subgroups or bins of data.249
Combining and Merging Data Sets.251
Creating sample data to illustrate merging.252
Using the merge() function.253
Working with lookup tables.255
Sorting and Ordering Data.257
Sorting vectors.257
Sorting data frames.258
Traversing Your Data with the Apply Functions.260
Using the apply() function to summarize arrays.261
Using lapply() and sapply() to traverse a list
or data frame. 263
Using tapply() to create tabular summaries.264
Getting to Know the Formula Interface.266
Whipping Your Data into Shape.268
Understanding data in long and wide formats.269
Getting started with the reshape2 package.270
Melting data to long format.270
Casting data to wide format.271
Table of Contents
Chapter 14: Summarizing Data. 275
Starting with the Right Data.275
Using factors or numeric data.276
Counting unique values.277
Preparing the data.277
Describing Continuous Variables.278
Talking about the center of your data.278
Describing the variation.279
Checking the quantiles.279
Describing Categories.281
Counting appearances.281
Calculating proportions.282
Finding the center.282
Describing Distributions. 283
Plotting histograms.283
Using frequencies or densities. 285
Describing Multiple Variables.287
Summarizing a complete dataset.287
Plotting quantiles for subgroups.288
Tracking correlations. 290
Working with Tables. 293
Creating a two-way table.294
Converting tables to a data frame.295
Looking at margins and proportions.296
Chapter 15: Testing Differences and Relations.299
Taking a Closer Look at Distributions.300
Observing beavers.300
Testing normality graphically. 301
Using quantile plots.302
Testing normality in a formal way.304
Comparing Two Samples.305
Testing differences.305
Comparing paired data.308
Testing Counts and Proportions.309
Checking out proportions.309
Analyzing tables.310
Extracting test results.312
Working with Models.313
Analyzing variances.313
Evaluating the differences.315
Modeling linear relations.318
Evaluating linear models.320
Predicting new values.323
R For Dummies
Part (/: Working utith Graphics. 325
Chapter 16: Using Base Graphics.327
Creating Different Types of Plots.327
Getting an overview of plot.328
Adding points and lines to a plot.329
Different plot types.332
Controlling Plot Options and Arguments.334
Adding titles and axis labels.335
Changing plot options.335
Putting multiple plots on a single page.339
Saving Graphics to Image Files.340
Chapter 17: Creating Faceted Graphics with Lattice.343
Creating a Lattice Plot.344
Loading the lattice package.345
Making a lattice scatterplot.345
Adding trend lines.346
Changing Plot Options.348
Adding titles and labels.348
Changing the font size of titles and labels.349
Using themes to modify plot options.350
Plotting Different Types. 351
Making a bar chart.352
Making a box-and-whisker plot.353
Plotting Data in Groups.354
Using data in tall format.354
Creating a chart with groups.356
Adding a key.356
Printing and Saving a Lattice Plot.357
Assigning a lattice plot to an object.358
Printing a lattice plot in a script.358
Saving a lattice plot to file.358
Chapter 18: Looking At ggplot2 Graphics.361
Installing and Loading ggplot2.361
Looking At Layers.362
Using Geoms and Stats. 363
Defining what data to use.364
Mapping data to plot aesthetics.364
Getting geoms.365
Sussing Stats. 369
Adding Facets, Scales, and Options.371
Adding facets. 371
Changing options.372
Getting More Information.374
Table of Contents
Part VI: The Part of lens. 375
Chapter 19: Ten Things You Can Do in R That You
Would've Done in Microsoft Excel.377
Adding Row and Column Totals.377
Formatting Numbers.378
Sorting Data.380
Making Choices with Ii.380
Calculating Conditional Totals.381
Transposing Columns or Rows.382
Finding Unique or Duplicated Values.383
Working with Lookup Tables.383
Working with Pivot Tables.384
Using the Goal Seek and Solver.385
Chapter 20: Ten Tips on Working with Packages.387
Poking Around the Nooks and Crannies of CRAN.387
Finding Interesting Packages.1.388
Installing Packages.389
Loading Packages.389
Reading the Package Manual and Vignette.390
Updating Packages.390
Forging Ahead with R-Forge.391
Getting packages from github.392
Conducting Installations from BioConductor.392
Reading the R Manual.393
Appendix A: Installing R and RStudio.395
Installing and Configuring R.*.395
Installing R.395
Configuring R.396
Installing and Configuring RStudio.398
Installing RStudio.398
Configuring RStudio.398
Appendix B: The rfordummies Package .401
Using rfordummies.401
We*.«. 403 |
| any_adam_object | 1 |
| author | De Vries, Andrie Meys, Joris |
| author_GND | (DE-588)106939100X (DE-588)1032934379 |
| author_facet | De Vries, Andrie Meys, Joris |
| author_role | aut aut |
| author_sort | De Vries, Andrie |
| author_variant | v a d va vad j m jm |
| building | Verbundindex |
| bvnumber | BV042535362 |
| classification_rvk | ST 601 ST 250 DF 2520 |
| ctrlnum | (OCoLC)920410449 (DE-599)BVBBV042535362 |
| dewey-full | 005.133 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.133 |
| dewey-search | 005.133 |
| dewey-sort | 15.133 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Pädagogik Informatik |
| edition | 2. ed. |
| format | Book |
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| genre | 1\p (DE-588)4151278-9 Einführung gnd-content |
| genre_facet | Einführung |
| id | DE-604.BV042535362 |
| illustrated | Illustrated |
| indexdate | 2025-03-18T11:02:07Z |
| institution | BVB |
| isbn | 9781119055808 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027969511 |
| oclc_num | 920410449 |
| open_access_boolean | |
| owner | DE-355 DE-BY-UBR DE-29 DE-29T DE-573 DE-11 DE-739 |
| owner_facet | DE-355 DE-BY-UBR DE-29 DE-29T DE-573 DE-11 DE-739 |
| physical | XII, 418 S. Ill., graph. Darst. |
| publishDate | 2015 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | Wiley |
| record_format | marc |
| series2 | ... for dummies |
| spelling | De Vries, Andrie Verfasser (DE-588)106939100X aut R for dummies [Learn to: use R for data analysis and processing, write functions and scripts for repeatable analysis, create high-quality charts and graphics, perform statistical analysis and build models] by Andrie de Vries and Joris Meys 2. ed. Hoboken, NJ Wiley 2015 XII, 418 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier ... for dummies R Programm (DE-588)4705956-4 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf 1\p (DE-588)4151278-9 Einführung gnd-content Datenanalyse (DE-588)4123037-1 s R Programm (DE-588)4705956-4 s 2\p DE-604 DE-604 Meys, Joris Verfasser (DE-588)1032934379 aut Erscheint auch als Online-Ausgabe, EPUB 978-1-119-05583-9 (DE-604)BV044052877 Erscheint auch als Online-Ausgabe, PDF 978-1-119-05585-3 Überarbeitung von Chichester : Wiley, 2012 978-1-119-96284-7 (DE-604)BV040359618 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027969511&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027969511&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | De Vries, Andrie Meys, Joris R for dummies [Learn to: use R for data analysis and processing, write functions and scripts for repeatable analysis, create high-quality charts and graphics, perform statistical analysis and build models] R Programm (DE-588)4705956-4 gnd Datenanalyse (DE-588)4123037-1 gnd |
| subject_GND | (DE-588)4705956-4 (DE-588)4123037-1 (DE-588)4151278-9 |
| title | R for dummies [Learn to: use R for data analysis and processing, write functions and scripts for repeatable analysis, create high-quality charts and graphics, perform statistical analysis and build models] |
| title_auth | R for dummies [Learn to: use R for data analysis and processing, write functions and scripts for repeatable analysis, create high-quality charts and graphics, perform statistical analysis and build models] |
| title_exact_search | R for dummies [Learn to: use R for data analysis and processing, write functions and scripts for repeatable analysis, create high-quality charts and graphics, perform statistical analysis and build models] |
| title_full | R for dummies [Learn to: use R for data analysis and processing, write functions and scripts for repeatable analysis, create high-quality charts and graphics, perform statistical analysis and build models] by Andrie de Vries and Joris Meys |
| title_fullStr | R for dummies [Learn to: use R for data analysis and processing, write functions and scripts for repeatable analysis, create high-quality charts and graphics, perform statistical analysis and build models] by Andrie de Vries and Joris Meys |
| title_full_unstemmed | R for dummies [Learn to: use R for data analysis and processing, write functions and scripts for repeatable analysis, create high-quality charts and graphics, perform statistical analysis and build models] by Andrie de Vries and Joris Meys |
| title_short | R for dummies |
| title_sort | r for dummies learn to use r for data analysis and processing write functions and scripts for repeatable analysis create high quality charts and graphics perform statistical analysis and build models |
| title_sub | [Learn to: use R for data analysis and processing, write functions and scripts for repeatable analysis, create high-quality charts and graphics, perform statistical analysis and build models] |
| topic | R Programm (DE-588)4705956-4 gnd Datenanalyse (DE-588)4123037-1 gnd |
| topic_facet | R Programm Datenanalyse Einführung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027969511&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027969511&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT devriesandrie rfordummieslearntouserfordataanalysisandprocessingwritefunctionsandscriptsforrepeatableanalysiscreatehighqualitychartsandgraphicsperformstatisticalanalysisandbuildmodels AT meysjoris rfordummieslearntouserfordataanalysisandprocessingwritefunctionsandscriptsforrepeatableanalysiscreatehighqualitychartsandgraphicsperformstatisticalanalysisandbuildmodels |
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