victoryfang Goto Github PK

academic-kickstart

course_oor

Open Online Introduction to R Course

finejaeger16_replication

github-slideshow

A robot powered training repository :robot:

hello-world-

hlpspr1

HLPLab's first Ibex self paced reading experiment

ibex

Psycholinguistic experiments online

introductionstatistics

An introduction to statistics from scratch. Prerequisites: Basic knowledge of R.

languages

some languages of the world

lextale

LexTALE (EN, DE, NL, CH) in JavaScript and PsychoPy.

linguist245b

lsa2019-reproducible-research

Satellite Workshop "Tools for Reproducible Research in Linguistics" at the 93rd Annual Meeting of the Linguistics Society of America in New York City on January 3, 2019.

maze

Code for auto-generating maze distractors and running maze in ibex

mem_tutorial

naccl-32-presentation

pa_list4baseb-b

penncontroller

PennController is a library extension for IBEX. It introduces a flexible and user-friendly syntax to design dynamic (e.g., scripted/timed events) and interactive (e.g., pictures, audio, videos, ...) trials.

practice-repo

will be using this repository for Git/Github practicing

practice-repo-

hi

programming-for-everybody-python-

Coursera class

psychopy-snippets

Some PsychoPy example scripts & snippets for easy sharing

self-paced-reading

self-pacedreading

Import, clean, analyze, and plot reaction-time data. Assumes data was collected in IbexFarm, a widely used platform for linguistic experiments. However, the analysis and plotting is appropriate for any reaction-time data.

sentence-segmentation-for-spr

spr

Template for a self-paced reading study, hosted on Ibex Farm

svm-r-markdown-templates

This is my (deprecated) suite of R Markdown templates for academic manuscripts, beamer presentations, and syllabi. DOWNLOAD {stevetemplates} INSTEAD.

toronto-psycholinguistics-experiments

Templates etc. for creating experiments using Ibex Farm.

vasishthnicenboimpart1

This repository contains the code and data that accompany the paper: Statistical methods for linguistic research: Foundational Ideas - Part I, by Shravan Vasishth and Bruno Nicenboim. Language and Linguistics Compass 10/8 (2016): 349–369, doi: 10.1111/lnc3.12201.

webgazertutorial