README.md
In klausfrieler/MSM: Music Segmentation Marker

Music Segmentation Marker (MSM)

The MSM is designed to mark arbritray segments in a set of musical stimuli

We also advise mentioning the software versions you used, in particular the versions of the MSM and psychTestR packages. You can find these version numbers from R by running the following commands:

library(MSM)
if (!require(devtools)) install.packages("devtools")
x <- devtools::session_info()
x$packages[x$packages$package %in% c("MSM", "psychTestR"), ]

If you don't have R installed, install it from here: https://cloud.r-project.org/
Open R.
Install the ‘devtools’ package with the following command:

install.packages('devtools')

Install the MSM:

devtools::install_github('klausfrieler/MSM')

You can demo the MSM at the R console, as follows:

# Load the MSM package
library(MSM)

# Run a demo test, with feedback as you progress through the test,
# and not saving your data
MSM_demo()

# Run a demo test, skipping the training phase, and only asking 5 questions, as well a changinge the language
MSM_demo(num_items = 5, take_training = FALSE, language = "DE")

The MSM_standalone() function is designed for real data collection. In particular, the participant doesn't receive feedback during this version.

# Load the MSM package
library(MSM)

# Run the test as if for a participant, using default settings,
# saving data, and with a custom admin password
MSM_standalone(admin_password = "put-your-password-here")

You will need to enter a participant ID for each participant. This will be stored along with their results.

Each time you test a new participant, rerun the MSM_standalone() function, and a new participation session will begin.

You can retrieve your data by starting up a participation session, entering the admin panel using your admin password, and downloading your data. For more details on the psychTestR interface, see http://psychtestr.com/.

The MSM currently supports English (EN) and German (DE). You can select one of these languages by passing a language code as an argument to MSM_standalone(), e.g. MSM_standalone(languages = "DE"), or alternatively by passing it as a URL parameter to the test browser, eg. http://127.0.0.1:4412/?language=DE (note that the p_id argument must be empty).

Complete the installation instructions described under 'Local use'.
If not already installed, install Shiny Server Open Source: https://www.rstudio.com/products/shiny/download-server/
Navigate to the Shiny Server app directory.

cd /srv/shiny-server

Make a folder to contain your new Shiny app. The name of this folder will correspond to the URL.

sudo mkdir MSM

Make a text file in this folder called app.R specifying the R code to run the app.
To open the text editor: sudo nano MSM/app.R
Write the following in the text file:

library(MSM)
MSM_standalone(admin_password = "put-your-password-here")

Save the file (CTRL-O).
Change the permissions of your app directory so that psychTestR can write its temporary files there.

sudo chown -R shiny MSM

where shiny is the username for the Shiny process user (this is the usual default).

Navigate to your new shiny app, with a URL that looks like this: `http://my-web-page.org:3838/MSM

By default, the MSM implementation always estimates participant abilities using weighted-likelihood estimation. We adopt weighted-likelihood estimation for this release because this technique makes fewer assumptions about the participant group being tested. This makes the test better suited to testing with diverse participant groups (e.g. children, clinical populations).