MNE | Source Code for IJCAI 2018 paper

 by   HKUST-KnowComp C Version: Current License: No License

kandi X-RAY | MNE Summary

kandi X-RAY | MNE Summary

MNE is a C library typically used in Embedded System applications. MNE has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

This is the source code for IJCAI 2018 paper "Scalable Multiplex Network Embedding".
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            kandi-support Support

              MNE has a low active ecosystem.
              It has 60 star(s) with 21 fork(s). There are 8 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 27 have been closed. On average issues are closed in 20 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of MNE is current.

            kandi-Quality Quality

              MNE has 0 bugs and 0 code smells.

            kandi-Security Security

              MNE has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              MNE code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              MNE does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              MNE releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.
              It has 1679 lines of code, 87 functions and 6 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

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            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of MNE
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            MNE Key Features

            No Key Features are available at this moment for MNE.

            MNE Examples and Code Snippets

            No Code Snippets are available at this moment for MNE.

            Community Discussions

            QUESTION

            Incrementing over nested for loop in R if specific condition is met
            Asked 2022-Mar-30 at 22:15

            I am relatively new to R and trying to create a nested for loop that will increment over a sequence of random numbers and add it to some variables in the table if a specific condition is met. Below is the sample code:

            ...

            ANSWER

            Answered 2022-Mar-30 at 22:15

            Here is a vectorized solution without for loops. I have changed the definition of n.

            Source https://stackoverflow.com/questions/71684407

            QUESTION

            Is there a MNE Python function that can enable me to use only part of the EEG data?
            Asked 2022-Mar-26 at 16:25

            I currently have an EEG.set file with data from 40 minutes of measurement. I only need 20 minutes (from somewhere in the middle) of which I know the starting and ending timestamps. Is there a function within the MNE package so I can select the part of the data that I'll need?

            ...

            ANSWER

            Answered 2022-Mar-26 at 16:25

            Mne has a crop function to cut the eeg signal between your desire timestamps. You apply it to your raw data.

            https://mne.tools/stable/generated/mne.io.Raw.html#mne.io.Raw.crop

            Source https://stackoverflow.com/questions/71499896

            QUESTION

            How to read .eeg file from BrainVision Core Data Format in python?
            Asked 2022-Mar-22 at 16:29

            I have a dataset in BrainVision Core Data Format which consists of the header file (.vhdr), marker file (.vmrk), and raw EEG data (.eeg) file for each subject. I know that python has mne.io.read_raw_brainvision() function which reads header file and returns a raw object containing BrainVision data. I do not know how to proceed after that or how can I read .eeg file. Thanks

            ...

            ANSWER

            Answered 2022-Mar-22 at 16:29

            Overall, MNE Python has a great tutorial on handling raw EEG data: https://mne.tools/stable/auto_tutorials/raw/10_raw_overview.html#the-raw-data-structure-continuous-data

            You can follow this tutorial and use the file loading with mne.io.read_raw_brainvision() as used in this more specific tutorial that happens to work with sample data in the BrainVision Core Data Format: https://mne.tools/stable/auto_tutorials/time-freq/50_ssvep.html#frequency-tagging-basic-analysis-of-an-ssvep-vssr-dataset

            Source https://stackoverflow.com/questions/71543278

            QUESTION

            outline scatterplot/barplot with line graph with categorical data and groups in ggplot
            Asked 2022-Mar-05 at 14:03

            I have a dataset with ~ 150 countries, a grouping variable, and a value for each country and group (0-6). I am trying to show, that countries with a higher GDP get higher values in one group than the other. I made a scatterplot showing the values for each country by group (the countries are sorted by GDP). I want to draw a line around the points, so it becomes more aparent which group has higher values in which range of GDP. I am however, at a loss.

            ...

            ANSWER

            Answered 2022-Mar-05 at 14:03

            Here's one idea to help visualize the difference you are trying to show. Firstly, the country names on the x axis are likely to remain illegible however you try to label them. It might therefore be better to have the rank of the countries on the x axis.

            Drawing a polygon around the points might make the point visually, but doesn't make much sense in statistical terms. What might be better here is to plot a regression with a separate line for each group. Since we are dealing with count data, we can use Poisson regression, and since we have a numeric rank on the x axis, it is possible to have lines going across your plot to show the regression.

            Source https://stackoverflow.com/questions/71361308

            QUESTION

            error install PyQt5 on Yocto Linux - board Variscite
            Asked 2022-Mar-01 at 15:02

            I have a problem installing a PyQt5 python package. I am in Yocto Linux environment (Hardknott kernel 5.10.35) on the Variscite board (DART-MX8M-PLUS). This is the log when I try to install with pip:

            ...

            ANSWER

            Answered 2022-Mar-01 at 15:02

            Do not bother installing packages natively on the board,

            PyQt5 is already supported by Yocto in meta-qt5, link to recipe.

            Just add meta-qt5 to your bblayers.conf and :

            Source https://stackoverflow.com/questions/71310092

            QUESTION

            Button on submenu in nav
            Asked 2021-Dec-20 at 19:33

            I want to add dropdown to my current nav bar. I tried this code but dropdown content disappeared and now I don´t have any ideas to edit code to this be working. After my last edit it´s only show dropdown menu but I don´t click on any link. Dropdown, dropbtn was added to previous code. Can you help me with this? Thanks very much!

            Here is code:

            ...

            ANSWER

            Answered 2021-Dec-20 at 13:30

            if i understand your question correctly you are searching for a simple dropdown menu with js?

            here is a short excample

            HTML:

            Source https://stackoverflow.com/questions/70422075

            QUESTION

            Making desktop apps in Elixir
            Asked 2021-Dec-04 at 15:50
            Background

            In my quest to make a desktop app with Elixir for Windows (I have given up the idea of doing multi-desktop apps for now) I am trying to create a HelloWorld Desktop app.

            This app is basically what you get from running mix phx.new hello. I am using Phoenix’s latest version, so I don’t have to deal with SASS nor anything alike, which honestly is a blessing since this means I don’t have any more node-gyp issues. Making it desktop friendly

            As some of you may have realized however, just creating a Phoenix project won’t make it a Desktop app. This is where the Desktop project comes in:

            This is a dependency that allows you to make your applications Desktop like. Since I have run the Sample app in the past:

            I figured I would try to tear it apart and try to launch the simplest, dummiest HelloWorld app I could. Basically, when I run mix iex -S I want it to instead of opening a window in my browser for it to open a desktop app.

            Problem

            I have added all the dependencies and I have a somewhat similar project structure to what the sample app has:

            mix.exs

            ...

            ANSWER

            Answered 2021-Dec-04 at 15:50

            I pulled down you code and it seems to work just fine. You need to run it with iex -S mix phx.server or mix phx.server thought instead.

            A couple of things:

            1. iex is not a mix task it's the interactive elixir shell you can run your program with an interactive shell by calling iex with -S the script tag followed by you mix command.

            2. You app is as most phoenix app are, to boot the endpoint when you call mix phx.server otherwise the app will start without spinning up the endpoint that allows it to respond to web requests. Elixir-Desktop launches with the endpoint.

            Source https://stackoverflow.com/questions/70182449

            QUESTION

            Fill missing values by group using linear regression in R
            Asked 2021-Dec-02 at 13:40

            I have a dataset with about 50 columns (all indicators I got from World Bank), Country Code and Year. These 50 columns are not all complete, and I would like to fill in the missing values based on an lm fit for the column for that specific country. For example:

            Doing this for a single country and a single column is absolutely fine when following these steps here: Filling NA using linear regression in R

            However, I have over 180 different countries I want to do this to. And I want this to work for each indicator per country (so 50 columns total) So in a way, each country and each column would have its own linear regression model that fills out the missing values.

            Here is how it looked after I did the steps above: This is the expected output for ONE column. I would like to do this for EVERY column by individual country groups.

            However, the data looks like this:

            There are numerous countries and columns that I want to perform this on just like the post above.

            This is for a project I am working on for my data-mining / statistics class. Any help would be appreciated and thanks so much in advance!

            EDIT

            I tried this:

            ...

            ANSWER

            Answered 2021-Dec-02 at 13:40

            Since you already know how to do this for one dataframe with a single country, you are very close to your solution. But to make this easy on yourself, you need to do a few things.

            1. Create a reproducible example using dput. The janitor library has the clean_names() function to fix columns names.

            2. Write your own interpolation function that takes a dataframe with one country as the input, and returns an interpolated dataframe for one country.

            3. Pivot_longer to get all the data columns into a one parameterized column.

            4. Use the dplyr function group_split to take your large multicountry dataframe, and break it into a list of dataframes, one for each country and parameter.

            5. Use the purrr function map to map each of the dataframes in the list to a new list of interpolate dataframes.

            6. Use dplyr's bind_rows to convert the list interpolated dataframes back into one dataframe, and pivot_wider to get your original data shape back.

            Source https://stackoverflow.com/questions/70164315

            QUESTION

            Sliding mobile menu transition effect
            Asked 2021-Dec-01 at 02:13

            I am currently trying to make my web page a little more responsive. Right now in mobile resolution I have my hamburger icon in top right corner and as it is clicked a menu shows up below the navbar. However it appears immediately. I would like to make the transition a little smoother so that the div (his display is toggled by javascript from none to flex) slides from the top in a nice way. I am using Tailwind framework.

            HTML related code here:

            ...

            ANSWER

            Answered 2021-Dec-01 at 02:13

            You should use transform with transition and move the element on Y axis (for enter from top). Simplified example:

            Source https://stackoverflow.com/questions/70176479

            QUESTION

            python-mne autoreject error: _setup_dots() missing 1 required positional argument: 'ch_type'
            Asked 2021-Nov-30 at 20:51

            I'm analyzing MEG data using python mne. To automatically detect bad epochs I want to use the autoreject package which is based on scikit-learn (http://autoreject.github.io/).

            I have created my epochs and adapted the code from the example given on the autoreject page, so it looks like this:

            ...

            ANSWER

            Answered 2021-Nov-30 at 20:51

            I found the issue, here it is in case anyone else is struggling with this:

            Apparently, the version of autoreject which gets installed through $ pip install -U autoreject has some errors (some of the functions in the util.py file require more variables than are provided by the functions in autoreject.py).

            Anyway, an updated version which works well can be installed as follows:

            $ pip install https://api.github.com/repos/autoreject/autoreject/zipball/master

            Source https://stackoverflow.com/questions/70110443

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install MNE

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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