If only the surface file is provided, its area is calculated and used for the computation of spatial statistics (cluster extent and TFCE).
The second is an optional area-per-vertex or area-per-face file, or simply a number. The first argument is the surface file itself. This option is needed when the input data is a scalar field over a surface and cluster extent or TFCE have been enabled. When more than one is supplied, each -s should be entered in the same order as the respective -i. Either one for all inputs, or one per input supplied in the same order as the respective -i appear. Except for NPC and MV, mixing is allowed (e.g., voxelwise, vertexwise and non-imaging data can be all loaded at once, and later will be all corrected across). All input files must contain the same number of observations (e.g., the same number of subjects). More than one can be specified, each one preceded by its own -i. This can be done with the command addpath: Uncompress the downloaded file, start Octave, and add the newly created directory to the Octave path. Typing palm at the prompt without arguments shows usage information.
Uncompress the downloaded file, open Matlab, and add the newly created directory to the Matlab path (menu File -> Set Path). If you are using Mac, and choose Octave, note that reading of NIFTI files need the option '-noniiclass' to work properly (more details below). The path can also be added to the system's $PATH variable, so that it can be easily called from any directory just by typing palm. palm in the directory where it was installed. If the one that is chosen isn't in the $PATH variable, make sure to specify also the path to the directory that contains the executable for either of these (whichever you choose). This is a script, inside which you can set whether the script should use Octave or Matlab. Open the file palm (not to be confused with palm.m). It may be much simpler to run PALM as a command directly from the shell in Linux or in Mac, and it can easily be called from scripts. In Windows, it can be executed inside Matlab or Octave.
Matlab random permute matrix mac#
In Linux and in Mac systems, it can be executed in any of these ways. PALM can run as a standalone command (i.e., executed directly from the command line/terminal), or inside Octave or Matlab.
Matlab random permute matrix download#
And use inputX = permX * inputX instead.To download latest packaged version, please click here.Īlternatively, visit the repository on GitHub. If you want to shuffle the rows use inputX.rows() instead for the initialization of the Permutation Matrix. InputX = inputX * permX //shuffle column wise Std::shuffle(permX.indices().data(), permX.indices().data()+permX.indices().size(), eng1) create permutation Matrix with the size of the columnsĮigen::PermutationMatrix permX(ls()) create random engines with the rng seed Here is a (probably inefficient) way to get a shuffled set of indices: std::vector perm įor (int i=dim-1 i>0 -i) Part 2: how do I obtain a randomly permuted vector of indices to pass to it? Maybe std::random_shuffle? Part 1: I can't find an example of PermutationMatrix online, and I'm having trouble figuring out the syntax. if I have a permutation that sends indices -> than I want to reorder the rows and the columns with the same permutation. I'd like to randomly permute the rows and columns using a randomly drawn permutation (just one permutation for both the rows and columns), i.e. I'm using Eigen and I've got a matrix: MatrixXi x = MatrixXi::Random(5) Randomly permute rows/columns of a matrix with eigen?