README.md

In johannes-titz/bts: Provides Data Sets for Burkhardt, Titz, Sedlmeier

• BTS
• Installation and use
• Data sets
• Errata

BTS

The package provides data sets for the book “Datenanalyse mit R: Fortgeschrittene Verfahren”, Burkhardt, Titz, Sedlmeier, Pearson Studium Psychologie, (ISBN-10: 3868944133, ISBN-13: 978-3868944136)

Installation and use

Install it via devtools (choose your own repo):

install.packages("devtools", repos = "https://ftp.fau.de/cran/")
devtools::install_github("johannes-titz/bts")

or via librarian (choose your own repo):

install.packages("librarian", repos = "https://ftp.fau.de/cran/")
librarian::shelf(johannes-titz/bts)

To load the data, for instance icecream:

library(bts)
data(icecream)
head(icecream)
#>   Observations    Flavor       Packaging      Light     Organic   individual
#> 1    Profile 1 Raspberry Homemade waffle No low fat Not organic Individual 1
#> 2    Profile 1 Raspberry Homemade waffle No low fat Not organic Individual 2
#> 3    Profile 1 Raspberry Homemade waffle No low fat Not organic Individual 3
#> 4    Profile 1 Raspberry Homemade waffle No low fat Not organic Individual 4
#> 5    Profile 1 Raspberry Homemade waffle No low fat Not organic Individual 5
#> 6    Profile 1 Raspberry Homemade waffle No low fat Not organic Individual 6
#>   ranking
#> 1       1
#> 2       6
#> 3       5
#> 4       1
#> 5       2
#> 6       7

Data sets

Currently available data sets are:

data(package = "bts")

| Item | Title | |:----------------|:----------------------------------------------------------------| | Arbeit | Befragung zur Arbeitszufriedenheit | | FW_abbrecher | Fehlende Werte 3 (Missing Values 3) | | FW_mar | Fehlende Werte 2 (Missing Values 2) | | FW_mcar | Fehlende Werte 1 (Missing Values 1) | | Lehr_Lern | Mediation von Lernleistung (Meadiation of learning achievement) | | Meditation | 6 Meditationsstudien (6 Studys of Meditation) | | Mehrere_AVs | Mehrere AVs in einem Einzelfall | | Obst | Präferenz für Früchte (fruit rating) | | Power_Pose | Power_Pose | | St_dist_aggr | Straftaten agreggierte Distanzen | | St_dist_ind | Individuelle Distanzen von Straftaten | | Stadt_dist | Distanzen von 5 deutschen Städten | | Straftaten | Straftaten | | VL_17 | VL_17 | | Wellbeing_Daten | 6 Meditierende im Multiple Baseline Design (scan-Paket) | | Wellbeing_kurz | Lebenszufriedenheit von 6 Einzelfällen | | hdp | Hospital Doctor Patient Dataset | | icecream | Ice cream rankings | | pedersen_2002 | pedersen_2002 | | pub_bias0 | dataset without publication bias | | pub_bias1 | A dataset with publication bias | | school | School data set |

Data sets in bts

To get information about a data set use

help(icecream)
Ice cream rankings

Description:

     A dataset containing ice cream attributes and rankings from 15
     (fictitious) participants.

Usage:

     icecream

Format:

     A data frame with 150 rows and 7 variables:

     Observations profile number

     Flavor flavor of ice cream

     Packaging packaging of ice cream

     Light fat content of ice cream

     Organic is ice cream organic?

     individual ID for participant

     ranking ranking of ice cream, from 1 to 10

Source:

     <URL:
     https://help.xlstat.com/s/article/conjoint-analysis-in-excel-tutorial-new?language=en_US>
     <URL:
     http://users.telenet.be/samuelfranssens/tutorial_data/icecream.xlsx>

Errata

johannes-titz/bts documentation built on July 1, 2022, 11:45 a.m.