Publications by Jens Roeser
Data visualisation in RStudio using the package ggplot2
Recommended reading R for Data Science by Wickham and Grolemund (2016) Doing Data Science in R by Andrews (2021) Download repository Download: https://github.com/jensroes/ Click on: Code > Download ZIP > unzip directory on your machine. Open project by double clicking on edge-hill-r-workshop.Rproj data-viz/exercises/: exercises associated with e...
16077 sym 101 img 1 tbl
wainn – written action image naming norms
wainn – written action image naming norms Jens Roeser Slides compiled May 30 2023 Why picture naming? Constraining / manipulating the utterance that is going to be produced. Informing / testing theoretical models of how people plan and output language; i.e. grammatical encoding (Ferreira and Slevc 2007; Wheeldon and Konopka 2023; Roeser, Tor...
8516 sym 5 img
Setting up RStudio
1 Downloading and installing R and RStudio 2 Installing packages (aka libraries) 2.1 RStudio’s GUI 2.2 Command line Setting up RStudio Andrew Mackenzie, Jens Roeser Compiled May 09 2023 1 Downloading and installing R and RStudio Attendees should make sure they have a computer / laptop that is compatible with R and RStudio. Both these softw...
3503 sym 4 img
L2 writing fluency in Norwegian students
L2 writing fluency in Norwegian students 1 Data analysis 2 Copy task 2.1 Raw data visualisation 2.2 Mixture model results 3 Text compositions 3.1 Text features 3.2 Sample 3.3 Number of transitions 3.4 Editing frequency 3.5 Transition durations References Anne Sætersdal Myklestad, Jens Roeser, Vibeke Rønneberg Compiled Apr 20 2023 L2 writ...
9929 sym 4 img 7 tbl
Data visualisation in ggplot2
Outline principles of data visualisation grammar of graphics aesthetics and attributes geometries major tools of data visualisation cosmetics I resources cosmetics II (homework) What is data visualisation? graphical representation of data graphical data analysis (stats): what do we want to know? communication and perception (design): what do we ...
14867 sym 96 img 1 tbl
Introduction to workshop on data wrangling and data visualisation
About me: Jens Roeser early career researchfellow @ psychology department (Nottingham Trent University) theory: psycholinguistics; language production / comprehension / acquisition (e.g. Roeser, Torrance, and Baguley 2019) methods: Bayesian modelling (talk to me about mixture models, Roeser et al. 2021) in Stan; keystroke logging; eyetracking teac...
3639 sym 7 img
Data wrangling in the tidyverse
Goals of data wrangling Data come in various formats (long, wide) and data type (xlsx, ods, json, csv, sav) No format is suitable for every goal Fluency in data wrangling gives you a lot of power. Make data format suitable to use: e.g. for statistical models (correlations, linear regression), functions, data viz, summary table Calculate new varia...
7730 sym R (46041 sym/286 pcs) 7 img
Looking back in L2 text production (version 3)
Looking back in L2 text production 1 Data analysis 2 Text data 2.1 Sample 2.2 Editing frequency 2.3 Number of transitions 3 Transition duration 4 Reading during writing 4.1 Lookback probability 4.2 Total lookback duration 4.3 Number of words fixated 4.4 Modal sentence distance between lookback fixations References Jens Roeser Compiled Mar 0...
10909 sym 8 img 18 tbl
Tutorial on Bayesian mixture models
Tutorial: fitting mixed-effects and log-Gaussian mixture models on text-writing data Tutorial: fitting mixed-effects and log-Gaussian mixture models on text-writing data Preparing the data Uni-modal mixed-effects models Gaussian mixed-effects model Model Priors Initiate sampling Fitting the model Log-Gaussian mixed-effects model Model Priors ...
30601 sym Python (32939 sym/93 pcs) 10 img
Behavioral stability in writing process measures
1 Data analysis For analysis we transformed all behavioral measures as follows. Count data because they are zero bound were first incremental by a value of 1 and then log transformed; proportions (data that ranged between 0 and 1) were logit scaled. Then, all outcome values were standardized (scaled and centered). # Data data <- read_csv(file = "...
4764 sym Python (6854 sym/6 pcs) 5 img 3 tbl