The following matrix indicates the version of Arcade installed in each ArcGIS product/API that supports it. For additional details, including known limitations for the version of the ArcGIS product you use to consume and author Arcade expressions, please visit the documentation for the relevant product listed below.
A matrix strategy lets you use variables in a single job definition to automatically create multiple job runs that are based on the combinations of the variables. For example, you can use a matrix strategy to test your code in multiple versions of a language or on multiple operating systems.
Use jobs..strategy.matrix to define a matrix of different job configurations. Within your matrix, define one or more variables followed by an array of values. For example, the following matrix has a variable called version with the value [10, 12, 14] and a variable called os with the value [ubuntu-latest, windows-latest]:
By default, GitHub will maximize the number of jobs run in parallel depending on runner availability. The order of the variables in the matrix determines the order in which the jobs are created. The first variable you define will be the first job that is created in your workflow run. For example, the above matrix will create the jobs in the following order:
The variables that you define become properties in the matrix context, and you can reference the property in other areas of your workflow file. In this example, you can use matrix.version and matrix.os to access the current value of version and os that the job is using. For more information, see "Contexts."
For example, the following workflow defines the variable version with the values [10, 12, 14]. The workflow will run three jobs, one for each value in the variable. Each job will access the version value through the matrix.version context and pass the value as node-version to the actions/setup-node action.
For example, the following workflow triggers on the repository_dispatch event and uses information from the event payload to build the matrix. When a repository dispatch event is created with a payload like the one below, the matrix version variable will have a value of [12, 14, 16]. For more information about the repository_dispatch trigger, see "Events that trigger workflows."
For each object in the include list, the key:value pairs in the object will be added to each of the matrix combinations if none of the key:value pairs overwrite any of the original matrix values. If the object cannot be added to any of the matrix combinations, a new matrix combination will be created instead. Note that the original matrix values will not be overwritten, but added matrix values can be overwritten.
If you don't specify any matrix variables, all configurations under include will run. For example, the following workflow would run two jobs, one for each include entry. This lets you take advantage of the matrix strategy without having a fully populated matrix.
To remove specific configurations defined in the matrix, use jobs..strategy.matrix.exclude. An excluded configuration only has to be a partial match for it to be excluded. For example, the following workflow will run nine jobs: one job for each of the 12 configurations, minus the one excluded job that matches os: macos-latest, version: 12, environment: production, and the two excluded jobs that match os: windows-latest, version: 16.
jobs..strategy.fail-fast applies to the entire matrix. If jobs..strategy.fail-fast is set to true or its expression evaluates to true, GitHub will cancel all in-progress and queued jobs in the matrix if any job in the matrix fails. This property defaults to true.
You can use jobs..strategy.fail-fast and jobs..continue-on-error together. For example, the following workflow will start four jobs. For each job, continue-on-error is determined by the value of matrix.experimental. If any of the jobs with continue-on-error: false fail, all jobs that are in progress or queued will be cancelled. If the job with continue-on-error: true fails, the other jobs will not be affected.
By default, GitHub will maximize the number of jobs run in parallel depending on runner availability. To set the maximum number of jobs that can run simultaneously when using a matrix job strategy, use jobs..strategy.max-parallel.
The characters and setting of the films are further explored in other media set in the same fictional universe, including animation, comics, and video games. The comic "Bits and Pieces of Information" and The Animatrix short film "The Second Renaissance" act as prequels to the films, explaining how the franchise's setting came to be. The video game Enter the Matrix connects the story of the Animatrix short "Final Flight of the Osiris" with the events of Reloaded, while the online video game The Matrix Online was a direct sequel to Revolutions. These were typically written, commissioned, or approved by the Wachowskis.
The virtual world is first introduced in The Matrix. The short comic "Bits and Pieces of Information" and the Animatrix short film The Second Renaissance show how the initial conflict between humanity and machines came about, and how and why the Matrix was first developed. Its history and purpose are further explained in The Matrix Reloaded. In The Matrix Revolutions a new status quo is established in the Matrix's place in humankind and machines' conflict. This was further explored in The Matrix Online, a now-defunct MMORPG.
In 2004, Warner Home Video released The Ultimate Matrix Collection, a 10-disc set of the films on DVD. It included the trilogy of films, The Animatrix, and six discs of additional material, including the documentary film The Matrix Revisited, the live-action footage shot for Enter the Matrix, and a promotional compilation of The Matrix Online. For this release, The Matrix was remastered under the supervision of the Wachowskis and the trilogy's cinematographer, Bill Pope, to improve its picture quality and make its color timing closer to that of its sequels. At the request of the Wachowskis, as they explain in a written statement that accompanies the boxset, each of the three films is accompanied by two audio commentaries, one by philosophers who liked the films, and another by critics who did not, with the intention that viewers use them as reference points to form their own opinion. The compilation includes 35 hours of bonus material, but some of the extras from earlier, standalone, releases are missing. A Limited Edition of The Ultimate Matrix Collection was also released. It encases the ten discs plus a resin bust of Neo inside an acrylic glass box.[82]
The Ultimate Matrix Collection was later also released on HD DVD (5 discs) and Blu-ray (6 discs) in 2007 and 2008, respectively. The HD DVD release added a picture-in-picture video commentary to the three films and the extras that were missing from the previous DVD compilation.[83] The Blu-ray release presented The Animatrix in high definition for the first time.[84] A pared-down set dubbed The Complete Matrix Trilogy was also released on HD DVD and Blu-ray (3 discs each), which dropped The Animatrix and some of the special features.[85][86]
The Ultra HD Blu-ray release of The Matrix Trilogy came out in 2018 (9 discs),[87] and presented the trilogy in 4K resolution and high-dynamic-range video, remastered from the original camera negative and supervised by Bill Pope. In this release, The Matrix is presented with a color grade that reportedly comes closer to its theatrical presentation than any of the previous home video releases.[88][89] The set also includes standard Blu-ray copies of the films sourced from the new 4K master, but is missing The Animatrix and some special features.[90]
In acknowledgment of the strong influence of Japanese Anime on the Matrix series, The Animatrix was produced in 2003 to coincide with the release of The Matrix Reloaded. This is a collection of nine animated short films intended to further flesh out the concepts, history, characters, and setting of the series. The objective of The Animatrix project was to give other writers and directors the opportunity to lend their voices and interpretation to the Matrix universe; the Wachowskis conceived of and oversaw the process, and they wrote four of the segments themselves, although they were given to other directors to execute. Many of the segments were produced by notable figures from the world of Japanese animation. Four of the films were originally released on the series' official website, one was shown in cinemas with Dreamcatcher, one was shown on MTV, MTV2, MTV3, MTV4, and Syfi, and the others first appeared with the DVD release of all nine shorts shortly after the release of The Matrix Reloaded.
Cor.test() takes vectors x and y as arguments, but I have an entire matrix of data that I want to test, pairwise. Cor() takes this matrix as an argument just fine, and I'm hoping to find a way to do the same for cor.test().
As noted in the comments, to replicate the p-values from the base cor.test() function over the entire matrix, then you need to turn off adjustment of the p-values for multiple comparisons (the default is to use Holm's method of adjustment):
Probably the easiest way is to use the rcorr() from Hmisc. It will only take a matrix, so use rcorr(as.matrix(x)) if your data is in a data.frame. It will return you a list with: 1) matrix of r pairwise, 2) matrix of pairwise n, 3) matrix of p values for the r's. It automatically ignores missing data.
The accepted solution (corr.test function in the psych package) works, but is extremely slow for large matrices. I was working with a gene expression matrix (20,000 by 1,000) correlated to a drug sensitivity matrix (1,000 by 500) and I had to stop it because it was taking forever.
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