Science Score: 67.0%
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○Scientific vocabulary similarity
Low similarity (12.0%) to scientific vocabulary
Repository
englelab
Basic Info
- Host: GitHub
- Owner: EngleLab
- Language: R
- Default Branch: main
- Homepage: https://englelab.github.io/englelab/
- Size: 2.4 MB
Statistics
- Stars: 2
- Watchers: 0
- Forks: 0
- Open Issues: 1
- Releases: 3
Metadata Files
README.md
englelab 
This package contains various functions for processing and scoring complex-span and attention control tasks downloaded from the EngleLab
There are functions for the Advanced, Foster Shortened, Oswald Shortened, and Standard versions of the complex-span tasks, as well as functions for the Attention Control tasks.
There are also functions to assist in processing and cleaning the data. These include dealing with outliers with replace_outliers(), calculating composite scores from a group of variables with composite(), and removing those with too much missing data on a construct with remove_missing().
Install
r
devtools::install_github("EngleLab/englelab")
Data Preparation
Once you are ready to start analyzing data from the tasks, you will first need to create a merged (.emrg) data file of all the individual .edat files E-Prime produces. How to create a merged E-Prime file
You then will need to export that .emrg file as a tab-delimited .txt file. How to Export E-Prime files to .txt. You need to follow the 'Export Data to StatView' instructions AND uncheck Unicode.
You can then import the .txt merged file into R. readr::read_delim()
Usage
Symmetry Span Example
``` r library(readr) library(dplyr) library(englelab)
Import
dataimport <- readdelim("import/SymSpan.txt", "\t", escapedouble = FALSE, trimws = TRUE)
Raw
dataraw <- rawsymspan(data_import)
Score
datascore <- dataraw %>% groupby(Subject) %>% scoresymspan() ```
See Articles:
Non-R Users
For non-R users, we created a point-and-click GUI to process and score data files from the tasks.
Web App for englelab
Troubleshooting
If you are having any difficulties with this package please contact Jason Tsukahara at jason.tsukahara@gatech.edu
Citation
If you use this R package in your research, then please cite
Tsukahara, Jason S. (2022). englelab: An R package for processing complex-span and attention control tasks downloaded from the EngleLab (1.1.0). Zenodo. https://doi.org/10.5281/zenodo.6987145
Owner
- Name: EngleLab
- Login: EngleLab
- Kind: organization
- Repositories: 1
- Profile: https://github.com/EngleLab
Citation (CITATION.cff)
cff-version: 1.2.0
message: "if you are using this in your work, then please cite this R package"
authors:
- given-names: Jason S.
family-names: Tsukahara
title: "englelab: An R package for processing complex-span and attention control tasks downloaded from the EngleLab"
version: 1.1.0
date-released: 2022-08-12
GitHub Events
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Dependencies
- dplyr * imports
- dtplyr * imports
- plyr * imports
- psych * imports
- readr * imports
- shiny * imports
- stringdist * imports
- stringr * imports
- tidyr * imports
- zoo * imports