The goal of assignment1 is to make accessible, clean, and tidy dataset for Assignment 1 of the course CGSC 5901/4900 X Special Topics in Cognitive Science: Advanced Statistics for Cognitive Science at Carleton University.
You can install the development version of assignment1 from GitHub with:
# install.packages("devtools")
devtools::install_github("romeopenheiro/assignment-1")
Everything related to the dataset generated can be found in the following directory structure
├── DESCRIPTION
├── LICENSE
├── LICENSE.md
├── NAMESPACE
├── R
│ ├── DATASET.R
│ ├── assignment1-package.R
│ └── utils-pipe.R
├── README.Rmd
├── README.md
├── assignment1.Rproj
├── data
│ └── DATASET.rda
├── data-raw
├── inst
│ └── rmarkdown
│ └── templates
│ └── assignment_template
│ ├── skeleton
│ │ └── skeleton.Rmd
│ └── template.yaml
└── man
├── DATASET.Rd
├── assignment1-package.Rd
└── pipe.Rd
The dataset is a tibble with 12,240 rows and 11 variables. A glimpse of the variables is provided below.
library(assignment1)
tibble::glimpse(DATASET)
#> Rows: 12,240
#> Columns: 11
#> $ subject <int> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
#> $ age <int> 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19…
#> $ gender <chr> "female", "female", "female", "female", "female", "female"…
#> $ trial_index <int> 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, …
#> $ strings <chr> "assiduous", "lawyer", "physics", "sympathy", "liberties",…
#> $ freq <int> 1, 43, 22, 6, 8, 50, 1, 214, 61, 1, 4, 1, 64, 78, 1, 313, …
#> $ resp_keys <chr> "n", "w", "w", "w", "w", "w", "w", "w", "w", "w", "w", "w"…
#> $ resp_corr <int> 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 0…
#> $ resp_rt <dbl> 0.6868, 0.5367, 0.9349, 0.5205, 0.7451, 1.3512, 1.1024, 0.…
#> $ corrans <chr> "w", "w", "w", "w", "w", "w", "w", "w", "w", "w", "w", "w"…
#> $ OS <chr> "Win32", "Win32", "Win32", "Win32", "Win32", "Win32", "Win…
Here is a random sample of 6 rows.
dplyr::slice_sample(DATASET, n = 6)
#> subject age gender trial_index strings freq resp_keys resp_corr resp_rt
#> 1 52 19 female 56 rebuttal 2 w 1 1.1349
#> 2 17 21 female 73 letarery 78 n 1 0.9357
#> 3 74 19 female 38 elegies 1 n 0 0.6851
#> 4 22 25 female 57 percipience 1 w 1 0.7520
#> 5 99 19 female 117 percopoence 1 n 1 2.4682
#> 6 88 20 female 0 assiduous 1 n 0 0.8026
#> corrans OS
#> 1 w Win32
#> 2 n Win32
#> 3 w Win32
#> 4 w MacIntel
#> 5 n Win32
#> 6 w MacIntel
An example of the usage of the package can be seen by following this link.
This project is licensed under the MIT License - see the LICENSE.md file for details.
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