Introduction | Data Conversion and Modification | Classical Univariate Time Series | ts_data | as_ts | ts_moving_average | ts_trend_season | Confidence Intervals | CImulen_data | CIpilen_data | Data Generation | add_data | cor_data and meanint_data | Number of Observations | data_n, data_n25 and data_nsq | Result Generation with Rounding | as_result, rounded, tol, val and digits | Tables | as_table | assoc_data | Vector Generation and Transformation | random | refer | transformif | vec2mat | Statistical Analysis | Bivariate Descriptive Statistics | nom.cc, nom.cramer, ord.spearman and ord.kendall (Association) | pearson_data | sumofsquares | Univariate Descriptive Statistics | grouped_data | means and means_choice | mcval | scale_to | Combinatorics | combinatorics, permutation, variation and combination | lfact, lfactquot and lbinom | Distributions | ddunif2, pdunif2, qdunif2 and rdunif2 | distribution | distribution and prob1 | is.distribution | binom_param and sqrtnp | cdf | pmdf | sample_size_freq | q2norm | Approximations: binom2norm, clt2norm and t2norm | Histogram Analysis | histbreaks | histdata | histwidth | histx | Probability Theory | data_prob2 | ddiscrete | ddiscrete2 | is.prob | pprobability | prob | Simple Linear Regression | lm1_data | lmr_data | incomplete_table | table_data | Tests | proptests, proptest_data and proptest_num | ttests, ttest_data and ttest_num | Mathematical Computations | Intervals | dbl, pos and neg | Number Utilities | all_integer | divisor_25 | has_digits | lcmval | prime_numbers | primes | Polynomials | monomial | pminimum | Rational Approximation | fractions and is_terminal | Solving Equations | equal | equations | print.equations | variables | num_solve | Value and Extremes Analysis | extremes | nearest_arg | unique_max | Exercise Generation | Structured Exercise Development | all_different and values_different | calledBy | exercise | Solution Handling and Result Formatting | solutions | int_result and num_result | File Manipulation and Document Enhancement | makekey | moodle_m2s | spell | String Manipulation | Conditional String Output | catif | nosanitize | Number to String Conversion | fcvt | num2str | Quote and Prefix and/or Suffix Manipulation | affix, unaffix | cdata, uncdata | bracket | math | unquote | breaks | Vector to String Conversion | as_fraction | as_obs | as_string | as_sum | Miscellaneous Functions | Function Helper | gapply | Formatting | replace_fmt | LaTeX and HTML Functions (Multi-Format Rendering Functions) | Introductory LaTeX Functions | answercol | hypothesis_latex | latexdef | rv | pdensity and toLatex | toLatex | toLatex.distribution | toLatex.equation_solve | toLatex.html_matrix | toLatex.polynomial | toLatex.prob_solve | toHTMLorLatex | Supporting Functions for Math LaTeX Output | lsumprod, lsum, lprod, lmean, lvar, lbr, lsgn and lvec | lprob and prob_solve | Markdown Functions | inline | template | to_choice | HTML Functions | html_e2m | html_matrix_sk | html_matrix, zebra and toHTML | General Purpose Functions | Output Checker | firstmatch | gsimplify | hyperloop and unique_elem | open_files | select_menu | Text Processing and Formatting | knitif | now | nsprintf (round_de and schoice_de) | MIME | mime_image

Sum of Squares Dataset | Using sos() for other datasets | List of Available Exercises | Exploring Exercises with view() | Key Features | Parameters | Workflow Example

Introduction | Getting Started | Integrating Timers in Shiny Applications | Creating Timer Inputs with timerInput | Updating Timers Dynamically | Controlling Timers Programmatically | Managing Example Applications with openApp and runAppx | Shiny apps | Mini | K-Means

Introduction | Aim | Installation | Getting started | Using a ZIP file or repository | ghget | Full and short names for files | ghopen, ghload, ghsource | ghlist, ghquery | ghfile, ghpath, ghdecompose | RStudio addins | Creating an own ZIP file | Preparation 1: Libraries/Modules used | Preparation 2: Scripts run independently | Preparation 3: Searching for (and removing) duplicate files | ZIP file and access names | Frequently asked questions | Something is not working properly. Where can I get help? | Can I use a password protected ZIP file? | How can I force a reload of a zip file? | How can I store a zip file permanently? | How can I find all directories with Shiny apps? | How can I find all csv data files? | What should I install to use Python scripts? | init_py.R is only called if the virtual environment is created. Can I force a new call? | Default repositories | Lecture Notes Sigbert Klinke, HU Berlin | Basic statistics I+II (in german) | Data analysis | Lecture Notes Bernd Rönz, HU Berlin (in german) | Computergestützte Statistik I mit SPSS 10 (2001) | Computergestützte Statistik II mit SPSS 10 (2000) | Generalisierte lineare Modelle mit SPSS 10 (2001)

General | Using stranslate | A first example | A more complex example | Languages | Domains | Making translations | Create translations in a txt file | Create translations in R | Translation files in stranslate | messages.txt | Rdewiki.txt | stranslate.txt | messages.R

General | Extensions | Scaling the window height and width | Line type and width | Colouring the curves | Alpha compositing/blending of curves | Curve types | Some theoretical properties | References

General | Installation | Main window | Log tab | Variables tab | Plot tab | R code & R Help tab | Problems | aplpack::bagplot, aplpack::bagplot.pairs | psych::fa, psych::principal

Introduction to Statistics | Contents | Portrait of the authors | Interactive examples from the book | Use of the examples | Old and new apps

General | First examples | Assigning colors and breaks | Choosing color palettes/functions | Structure of the plot | Formal parameters | Set global parameters | Frequently asked questions | How can I delete the grid lines? | How can I get squared boxes? | How can I rotate the axis labels such they do no overlap? | How can I show a matrix of parameters and, for example, their standard errors below? | How can I use plot.matrix and the default scatter plot in parallel? | Solution 1: Convert the matrix to a data.frame | Solution 2: Use plot.default | Solution 3: Unload the package plot.matrix permanently | Modifying a plot | Defaults | Modifying the breaks | Modifying the colors | Cell colors | Missing values and out-of-range matrix entries | Modifying the key | Delete the key | Move the key | Change the output format of the key labels | Modifying the row and column axes | Show matrix entries | NA handling | Automatic text color adjustment | Information about drawn elements | Example: Add shading lines | Example: Adding images | Plotting special matrices | Loadings matrix | Gray scale | No matrix entries | No reordering of rows | Correlations and associations | P values

General | Example 1: Comparing whole files | Example 2: Comparing expressions in files | Step 1: Reading in source codes | Step 2: Create documents | type | minlen and ignore.case | Step 3a: Calculate similarity coefficients | coeff (similarity) | Step 3b: Similarity based on term frequency–inverse document frequency (td-idf) | Step 4: Get an overview about the results | matrix2dataframe | as_igraph | same_file | Step 5: Detailed analysis of the source code

General | Generate a listArray from a vector, matrix or array | Unnamed or named vectors | Matrix | Names or numbers as indices | Ignore entries in a vector, matrix or array | List or environment as base? | Access a listArray object | Extract operators | Difference between listArray and vector | Difference between listArray and matrix/array | Normalization and the options listArray.XXX | The workhorse function key | Acknowledgments

Which Shiny apps are available? | How to run a single example app? | App installation for a package in inst/shiny