bst290
is an R
package developed for the BST290 ("Kvantitativ forskningsmetode"/"Introduction to quantitative methods") course that is taught to BA Political Science (B-STATSVIT) and BA Sociology (B-SOSIOL) students at the University of Stavanger (UiS), Norway.
The package includes:
- Functions to produce simple descriptive tables;
- An interactive
Shiny
dashboard featuring statistics exercises and illustrations of statistical distributions, the Central Limit Theorem, and confidence intervals; - De-bugging exercises in the form of interactive
learnr
tutorials, in which students have to solve problems with incomplete or erroneous code chunks; - A practice dataset including a small number of respondents and variables from the European Social Survey[1];
You can install the current version of bst290
using the following code:
# Requires devtools or remotes to install from Github
if(!require(remotes)){
install.packages("remotes")
}
remotes::install_github("cknotz/bst290")
Launching the interactive dashboard with statistics exercises:
bst290::practiceStatistics()
Loading the included practice dataset:
data(ess)
# Alternative:
ess <- bst290::ess
A simple summary table:
bst290::oppsumtabell(dataset = ess,
variables = c("agea","weight","height"))
A cross table:
bst290::krysstabell(dataset = ess,
rowvar = "gndr",
colvar = "vote")
A summary table, stats by other variable:
bst290::oppsum_grupp(dataset = ess,
variable = "height",
by.var = "gndr")
Showing numerical values and text labels of factor-type variable:
bst290::visfactor(dataset = ess, variable = "vote")
To access the learnr
tutorials, navigate to the Tutorial tab in RStudio (upper-right corner of the screen) and look for "De-bugging exercises". You may have to install the learnr
-package, but RStudio should help you with that.
This package has been made better by input and feedback from: Liv Sunnerkrantz, Fredrik Myklebust Iversen, and Knut Solvig. All remaining errors are mine.
[1] ESS Round 7: European Social Survey Round 7 Data (2014). Data file edition 2.2. NSD - Norwegian Centre for Research Data, Norway – Data Archive and distributor of ESS data for ESS ERIC. doi:10.21338/NSD-ESS7-2014. Licensed under CC BY-NC-SA 4.0.