I was wondering if anyone out there has found a nice package for R to analyse eye-tracking data?
I came across eyetrackR but as far as I can tell there is no English support documentation available:
http://read.psych.uni-potsdam.de/pmr2/index.php?option=com_content&view=article&id=43:eyetrackr&catid=13:r-playground&Itemid=15
I will move onto another freeware that handles eye-tracking data if I need to but was really hoping there would be something accessible in R.
Ideas?
Cheers.
It would help if you could explain which kind of analyses you are intending to do. There are many different approaches depending on the research question and the research field. Many approaches involve the detection of fixations and saccades as a first step. An R package that can be used for fixation detection is called saccades and is available on CRAN. See also the Github page of the package for examples and screenshots.
A new eye-tracking analysis package for R (eyetrackingR) was recently released. It provides a variety of methods that handle data preparation/cleaning, visualization, and analysis.
Here's a list of several dozen instances of researcher contributed code (FOSS) for post-acquisition summarization and analysis of eye-movement data. You may be able to find something to suit your needs there.
List is provided in case anyone stumbling across this thread may find it useful.
https://github.com/davebraze/FDBeye/wiki/Researcher-Contributed-Eye-Tracking-Tools
Related
The crosstable package give me exactly what I need to do some exploratory work in a data set composed of answers to a survey. But I need to weight the crosstabulation to get a representative results of the population I'm studying. Any ideas how I could use weights with this package?
So far I have used the "survey" package to do that, but it's lacking presentation tool to get publication ready tables.
Thanks.
I'm the dev of the crosstable package and it is unfortunately not supporting weights yet.
I would love to implement this as a feature one day, so you should definitely open a Feature Request on GitHub.
As I've never had to do a weighted description myself, please add a simplified version of your use case so that I can make something useful to everyone.
Currently, we are working on an eye-tracking study and we are not quite satisfied with the analysis option of SMI’s BeGaze. Hence, I would like to ask you know good way to extract data from BeGaze, which can be processed by a handy R-package, which is still working under R 3.6.1 – not like ETRAN.
It would be great to do add AOIs manually, do heat maps, analyze saccades, fixation times, and ratios between AOIs.
We came across eyetrackingR, but we are still struggling with extracting BeGaze's data in a processable way.
Any help, tutorial, hint, etc. is much appreciated.
David
I'm currently dealing with multivariate dynamic time warping (DTW) in R. The best library I found so far is the dtw package as described here: http://dtw.r-forge.r-project.org/
But I do not know how multivariate dtw is actually implemented and it is also not described in the description of the package. All in all, I would like to know if it implements DTWD (Dependent DTW) or DTWI (Independent DTW).
Does anyone have an idea or a suggestion how to find out which of these two approaches the package uses? Or are there libaries which allow me to choose the variant?
You can always look at the companion papers that come with the packages for a more theoretical grounding of the packages
https://www.jstatsoft.org/article/view/v031i07
Additionally, you can always look into the "guts" of the functions to understand how things are implemented in the code
https://www.rdocumentation.org/packages/dtw/versions/1.20-1/source
As far as this question in general, perhaps it is better suited for https://stats.stackexchange.com/ where the questions are more methodological than programming.
The two types of multivariate dynamic time warping are carefully explained here
https://www.cs.ucr.edu/~eamonn/Multi-Dimensional_DTW_Journal.pdf
I searched at various places but didn't find any relevant packages for this. I need to know how people proceed with FIEGARCH Modelling in any software.
you can use oxmetric or s_pluse software for this work.
I'm looking for a an R package which can be used to train a Dirichlet prior from counts data. I'm asking for a colleague who's using R, and don't use it myself, so I'm not too sure how to look for packages. It's a bit hard to search for, because "R" is such a nonspecific search string. There doesn't seem to be anything on CRAN, but are there any other places to look?
I've only come across both R and the Dirichlet distribution in passing, so I hope I'm not too much off the mark.
This mailing list message seems to answer your question:
Scrolling through the results of
RSiteSearch("dirichlet") suggests some useful tools
in the VGAM package. The gtools package and
MCMC packages also have ddirichlet() functions
that you could use to construct a (negative log) likelihood
function and optimize with optim/nlmin/etc.
The deal, DPpackage and mix packages also may or may not provide what you need.
Then again, these are all still CRAN packages, so I'm not sure if you already found these and found them unsuitable.
As for searching for R, the R project site itself already provides a few links on its search page.