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Pascal

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Pascal
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  • Dear Sofia, hmm I am not sure. Have you plotted the trajectories with sample entropy values of 0 to check? Best, Pascal
  • Hi Laura, I think the issue is that the psynteract connect item wants to connect to a psynteract server but you have no server running. You can select the "Offline test mode" option in the psynteract connect item to test your experiments w…
  • Dear Eduard, dear Laura, a quick update on psynteract: Felix and I made some changes to both the psynteract library and the psynteract plugin for OpenSesame and things should be working with recent versions of OpenSesame now. You can find the update…
  • Dear Eduard, dear Laura, please excuse my delayed reply. I left academia last year transitioning into an industry position. I still continue to maintain the open source packages I developed (e.g., the mousetrap plugin for OpenSesame and the mousetra…
  • Hi Sofia, that's a good question. Unfortunately, I also don't have a perfect answer here. One possible alternative to log transformation could be a square-root transformation as this can handle 0s. However, values of exactly 0 for sample entropy sho…
  • Hi there, That's a good question - I am also not aware of specific guidelines for analyzing idle times. However, before analyzing idle times I would address the question whether long idle times are actually mostly caused by long initiation times (i.…
  • Hi Kuba, I took a quick look at your dataset and wrote a demo script that reads the data into R and imports them into mousetrap. # Load libraries library(readbulk) library(mousetrap) # Read all files that are stored in folder raw_data within curren…
  • Hi Bo, I think both options are possible. If you want to use the original coordinate system but make the y coordinate values increase towards the top of the screen, you can transform them via: # Flip all y positions upwards: mt_data$trajectories[,,&…
  • Hi Bo, the mouse position data does not have to be in pixel data for the analysis, so in principle you should be able to import and work with the recorded trajectory data in mousetrap as is. You can use the mt_align_start_end function if you want to…
  • Just to clarify (as background information): The warning message above ("Warning message: In mt_import_long(data, xpos_label = "XPos", ypos_label = "YPos", : After removing trajectory data, more than one unique row per mt_id…
  • Hi Carrie, sorry for the delayed reply, I was on vacation. Thanks for sharing the screenshots. In principle everyhing looks fine to me. However, depending on whether you have data from one or several subjects in your data data.frame, you could chang…
  • Hi Carlotta, the mousetrap R package offers different import functions depending on the format of the mouse-tracking data, so you should also be able to import your data and analyse it with mousetrap. Specifically, you first would have to read your …
  • Hi Carrie, that's good, then a shifted column order does not seem to cause the issue. I think you would have to provide me with some additional information so I can help you further. Specifically, could you post the code you use to read in the data …
  • Hi Carrie, without seeing the data I can only guess, but one issue that sometimes occurs when you read csv files into R is that the column names are misplaced, i.e., shifted by one column (which can e.g. happen if the csv contains row numbers which …
  • Hi Peiyao, without knowing the complete dataset I can only guess. However, from what I see in the figure I assume that this represents a plot of aggregate trajectories, probably creating using mt_plot_aggregate? If this is the case, I assume that wh…
  • Hi there, in my opinion, you can also use mouse-tracking to compare differences between participants, probably mostly related to comparing groups of participants (e.g., native and non-native speakers, as in your example). In this regard, I would pa…
  • Hi Jasper, no worries! As discussed, we currently do not have a version of the mousetrap plugin for OSWeb. However, regarding a JavaScript version: Felix' work on the mousetrap-web plugin for the lab.js experiment builder has progressed quite a bit …
  • Hi there, if mouse-tracking data are collected during the browser, it is indeed usually an issue that cursor positions are only recorded when the mouse is moved. To account for this issue, we extended the mt_resample function (documented here: http:…
  • Hi there, regarding the question if nrow(gorilla.mt$data) = 1692 makes sense? If you have 36 trials per participants, then you should have 47 participants in there as nrow should be the total number of trials in the data (i.e., number of participan…
  • Hi there, before answering your question, I would like to point out that I am not familiar with the Gorilla data format so I can probably only give you more general advice on how to format your data in a way that they are processed by mouestrap corr…
  • Hi Ester, thanks for providing a summary of the data. I would agree in that the structure seems to have the correct format required by mt_import_long . However, based on the information on the data you provide, I think that there is an issue with th…
  • Hi there, would it be possible for you to share a few exemplary rows of the dataset (mouse_dataincorrect) that you use as input for the mt_import_long function? This could make it easier to understand what might be the cause of the problem here. Bas…
  • Hi Valerio, it is possible to combine the mousetrap and the psynteract plugin for OpenSesame (we have done that a few times ourselves in the past 🙂). However, both plugins are only available for lab experiments and not available in OSWeb. Best, Pasc…
  • Hi all, 1) Regarding the installation of the mousetrap plugin for OpenSesame 3.3.0 or later (@eduard): When using OpenSesame 3.3.0 or later, you need to install the development version of the mousetrap plugin (as described here: https://github.com/P…
  • Hi there, if you only want to exclude the probelamtic trials, one "quick and dirty" solution could be to just exclude the ids that were reported directly after mt_import_mousetrap with mt_subset: m100msstop <- mt_subset(m100msstop, !m…
  • Hi there, I have a questions to better understand the issue. In your code and output it says after running mt_import_mousetrap: There were 22 warnings (use warnings() to see them) Have you inspected these warning messages and could post them here? T…
  • Hi there, this is an issue that was resolved in the current development version of the mousetrap plugin for OpenSesame. When using OpenSesame 3.3.0 or later (as in your case), you should install the development version of the mousetrap plugin (as de…
  • Hi So So, I think that calculating the distance depends on how you decide to implement the manipulation of the location of the target stimulus and response stimulus. Once you have decided on this, you can simply subtract the y positions (in case you…
  • Hi Felix, a number of example experiments including one that demonstrates how to use the shuffle horizontal operation in combination with the mousetrap plugin can be found here: https://github.com/PascalKieslich/mousetrap-os/tree/master/examples In …
  • Hi there, I have the following ideas regarding the issues you mentioned above: 1) Flipping trajectories In your preprocessing code, I did not see a step where you flip trajectories that ended on the right option to the left. If you do not do this, t…

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