Overview
============

Dear traveller,
this archive contains some supplementary material for the manuscript

"Lost in Space: Multisensory Conflict yields Adaptation in Spatial Representations across Frames of Reference"

There are two directories. One contains the aggregated data as well as two R Scripts used for the analysis. The
other contains some HTML slides including a visualization of the dependent measures, video examples of the
task, as well as a quick data overview. Please refer to the respective sections for details and do not hesitate
to write me in case you have any questions.

Slides
============

The slides contain a short overview of the experimental setup, video examples for the task, as well as interactive
visualizations of the data and the dependent measures. Press [ESC] to switch to the overview mode and select the
slide you are interested in.

Just open the Supplementaries.html file in the root of the slides directory to open the slides in your browser.
You do not need an internet connection to view the slides, all javascript files are within the local file structure.
However, the font might look awkward if you do not have an active internet connection (font data is loaded dynamically).
It works best with Firefox or Safari, other browsers might refuse to load contents from the local file system due
to security issues. For the videos this will be no problem at all, but the interactive visualizations might be
blocked. If you are using chrome, you can disable the security settings by starting chrome from the command line
with the following command:

--disable-web-security --user-data-dir=[path]

Just replace [path] with the qualified pathname of the directory where you extracted the slides to, please do not use
the browser for accessing actual webpages with these settings.

Data
============

The data analysis relies on R, which can be obtained from here:

https://cran.r-project.org/

RStudio is a convenient r editor and can be obtained from here:

https://www.rstudio.com/

The analysis uses two packages which are not part of the standard distribution, namely lmer and lmerTest.
If you do not have them installed, you can obtain them via the R console (directly or in RStudio). Just open the shell
and type:

install.packages("lmer", dependencies = TRUE)
install.packages("lmerTest", dependencies = TRUE)

This requires and active internet connection. Details regarding the analysis are given in the comments within the R script.

For the analysis of the number of collected petals, you also need the plyr package, as well as the packages realizing ANOVA:

install.packages("plyr", dependencies = TRUE)
install.packages("ez", dependencies = TRUE)
install.packages("schoRsch", dependencies = TRUE)