README.md

In neuroconductor/brainKCCA: Region-Level Connectivity Network Construction via Kernel Canonical Correlation Analysis

brainKCCA

Region-Level Connectivity Network Construction via Kernel Canonical Correlation Analysis

This readme file provides you a simple example to construct region-level connectivity network. In example below, when the programming is running, the progress bar will be generated.

```{r, fig.show='hold'} require(brainKCCA) require(oro.nifti)

write data into temp file. The generated NIfTI

provide you a general structure of fMRI data.

filePath <- tempdir()

the nii.gz fMRI imaging file is created (toy example)

oro.nifti::writeNIfTI(brainKCCA::input_img, paste(filePath, "/", "temp", sep=""))

read fMRI data

testcase1 <- nii2RData(niiFile1 = "temp", resolution = "3mm", imgPath = filePath) result1<-permkCCA_multipleRegion(imageDat = testcase1, region = c(1,5,10)) summary_kcca(result1) ```

neuroconductor/brainKCCA documentation built on May 18, 2021, 3:34 a.m.