# ds4psy v0.1.0

Monthly downloads

## Data Science for Psychologists

All data sets required for the examples and exercises in the book "Data Science for Psychologists" (by Hansjoerg Neth, Konstanz University, 2019), freely available at <https://bookdown.org/hneth/ds4psy/>. The book and course introduce principles and methods of data science to students of psychology and other biological or social sciences. The 'ds4psy' package primarily provides datasets, but also functions for graphics and text-manipulation that are used in the book and its exercises.

## Readme

# Data Science for Psychologists (ds4psy)

Welcome to the R package **ds4psy** — a software companion to the book and course

Data Science for Psychologists.

This R package provides datasets and functions used in the ds4psy book and course. The book and course introduce the principles and methods of data science for students of psychology and other biological or social sciences.

## Installation

The current release of **ds4psy** is available from CRAN at https://CRAN.R-project.org/package=ds4psy:

```
install.packages('ds4psy') # install ds4psy from CRAN client
library('ds4psy') # load to use the package
```

The current development version can be installed from its GitHub repository at https://github.com/hneth/ds4psy/:

```
# install.packages('devtools') # (if not installed yet)
devtools::install_github('hneth/ds4psy')
library('ds4psy') # load to use the package
```

The most recent version of the ds4psy book is freely available at https://bookdown.org/hneth/ds4psy/.

## Course Coordinates

- PSY-15150, at the University of Konstanz by Hansjörg Neth (h.neth@uni.kn, SPDS, office D507).
- Summer/Fall 2019: Mondays, 15:15–16:45.
- Links to current course syllabus | ZeUS | Ilias
- The ds4psy book with examples and weekly programming exercises (WPAs) is available at https://bookdown.org/hneth/ds4psy/.

## Description

This book and course provide an introduction to data science that is tailored to the needs of psychologists, but is also suitable for students of the humanities and other biological or social sciences. This audience typically has some knowledge of statistics, but rarely an idea how data is prepared and shaped to allow for statistical testing. By using various data types and working with many examples, we teach tools for transforming, summarizing, and visualizing data. By keeping our eyes open for the perils of misleading representations, the book fosters fundamental skills of data literacy and cultivates reproducible research practices that enable and precede any practical use of statistics.

### Audience

Students of psychology and other social sciences are trained to analyze data. But the data they learn to work with (e.g., in courses on statistics and empirical research methods) is typically provided to them and structured in a (rectangular or "tidy") format that presupposes many steps of data processing regarding the aggregation and spatial layout of variables. When beginning to collect their own data, students inevitably struggle with these pre-processing steps which — even for experienced data scientists — tend to require more time and effort than choosing and conducting statistical tests.

This course develops the foundations of data analysis that allow students to collect data from real-world sources and transform and shape such data to answer scientific and practical questions. Although there are many good introductions to data science (e.g., Grolemund & Wickham, 2017) they typically do not take into account the special needs — and often anxieties and reservations — of psychology students. As social scientists are not computer scientists, we introduce new concepts and commands without assuming a mathematical or computational background. Adopting a task-oriented perspective, we begin with a specific problem and then solve it with some combination of data collection, manipulation, and visualization.

### Goals

Our main goal is to develop a set of useful skills in analyzing real-world data and conducting reproducible research. Upon completing this course, you will be able to use R to read, transform, analyze, and visualize data of various types. Many interactive exercises allow students to continuously check their understanding, practice their skills, and monitor their progress.

### Requirements

This course assumes some basic familiarity with statistics and the R programming language, but enthusiastic programming novices are also welcome.

## Resources

This package and the corresponding book are still being developed and are updated as new materials become available.

A current version of the book is available at https://bookdown.org/hneth/ds4psy/.

There are 2 GitHub repositories to be distinguished:

The repository for the ds4psy book is https://github.com/hneth/ds4psy_book.

The repository for the ds4psy package is https://github.com/hneth/ds4psy.

The current course syllabus and raw versions of all data files used in examples and exercises are available at http://rpository.com/ds4psy/.

## References

### Course materials

- A current version of Data science for psychologists is available online at https://bookdown.org/hneth/ds4psy/.

The script was originally based on the following textbook:

- Wickham, H., & Grolemund, G. (2017).
*R for data science: Import, tidy, transform, visualize, and model data.*Sebastopol, Canada: O'Reilly Media, Inc. [Available online at http://r4ds.had.co.nz.]

### Software

Please install the following open-source programs on your computer:

R Studio is an integrated development environment (IDE) for R.

```
# Tidyverse packages:
install.packages("tidyverse")
# Course packages:
install.packages("ds4psy", "unikn")
# Additional data packages (optional):
install.packages("nycflights13", "babynames", "fueleconomy")
```

### Other resources

#### Online

Further resources on the tidyverse:

- See https://www.tidyverse.org/articles/ for current developments
- See https://www.tidyverse.org/learn/ for learning resources

- See also the collection of links at the end of each chapter of the ds4psy book and http://rpository.com/findr/.

#### R manuals and books

See the free books on R and data science on https://bookdown.org/

## About

If you find these materials useful, or want to adopt or alter them for your purposes, please let me know.

### Citation

To cite **ds4psy** in derivations and publications, please use:

- Neth, H. (2019). ds4psy: Data Science for Psychologists. Social Psychology and Decision Sciences, University of Konstanz, Germany. Textbook and computer software (R package version 0.1.0, August 9, 2019). Retrieved from https://bookdown.org/hneth/ds4psy/.

A **BibTeX** entry for LaTeX users is:

```
@Manual{ds4psy,
title = {ds4psy: Data Science for Psychologists},
author = {Hansjörg Neth},
year = {2019},
organization = {Social Psychology and Decision Sciences, University of Konstanz},
address = {Konstanz, Germany},
note = {Textbook and R package (version 0.1.0, August 9, 2019)},
url = {https://bookdown.org/hneth/ds4psy/},
}
```

### License

**Data science for psychologists** (**ds4psy**) by Hansjörg Neth is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

[Updated 2019-08-09 by hn.]

## Functions in ds4psy

Name | Description | |

plot_n | Plot n tiles. | |

pal_ds4psy | ds4psy default color palette. | |

outliers | Outlier data. | |

table6 | Data table6. | |

l33t_rul35 | l33t_rul35 provides rules for translating into leet/l33t slang. | |

table7 | Data table7. | |

falsePosPsy_all | False Positive Psychology data. | |

pal_n_sq | Get n-by-n dedicated colors of a color palette. | |

pi_100k | Data: 100k digits of pi. | |

t3 | Data table t3. | |

posPsy_p_info | Positive Psychology: Participant data. | |

posPsy_wide | Positive Psychology: All corrected data (in wide format). | |

t4 | Data table t4. | |

posPsy_AHI_CESD | Positive Psychology: AHI CESD data. | |

posPsy_long | Positive Psychology: AHI CESD corrected data (in long format). | |

data_t2 | Data table data_t2. | |

plot_tiles | Plot n-by-n tiles. | |

transl33t | transl33t text into leet slang (using stringr). | |

theme_ds4psy | ds4psy default plot theme (using ggplot2 and unikn). | |

plot_fun | A function to plot some plot. | |

tb | Data table tb. | |

plot_fn | A function to plot a plot. | |

table8 | Data table8. | |

data_t1_tab | Data import data_t1_tab. | |

data_t4 | Data table data_t4. | |

data_t3 | Data table data_t3. | |

ds4psy.guide | Opens user guide of the ds4psy package. | |

data_1 | Data import data_1. | |

exp_wide | Data exp_wide. | |

data_2 | Data import data_2. | |

data_t1 | Data table data_t1. | |

data_t1_de | Data import data_t1_de. | |

No Results! |

## Vignettes of ds4psy

Name | ||

ds4psy.Rmd | ||

No Results! |

## Last month downloads

## Details

Type | Package |

Date | 2019-08-09 |

Collate | 'data.R' 'color_fun.R' 'text_fun.R' 'data_fun.R' 'theme_fun.R' 'plot_fun.R' 'util_fun.R' 'start.R' |

Encoding | UTF-8 |

LazyData | true |

License | CC BY-SA 4.0 |

URL | https://bookdown.org/hneth/ds4psy/, https://github.com/hneth/ds4psy/ |

BugReports | https://github.com/hneth/ds4psy/issues |

VignetteBuilder | knitr |

RoxygenNote | 6.1.1 |

Language | en-US |

NeedsCompilation | no |

Packaged | 2019-08-09 17:52:11 UTC; hneth |

Repository | CRAN |

Date/Publication | 2019-08-10 09:30:10 UTC |

#### Include our badge in your README

```
[![Rdoc](http://www.rdocumentation.org/badges/version/ds4psy)](http://www.rdocumentation.org/packages/ds4psy)
```