Description Usage Arguments Details Value Author(s) Examples
View source: R/multipleRegion_plot.R
This function can draw connection line(s) among multiple brain regions, based on the result from funciton permkCCA_multipleRegion(...).
1 2 | multipleRegion_plot(input, significance = 0.05, regionCodeProvided = FALSE,
view = "coronal", color = "blue", screenShot = "None")
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input |
it can accept two types of argument: (1) output generated by "permkCCA_multipleRegion(...)" (with p value). (2) output generated by summary_kcca() or meanConnection() (without p value). |
significance |
significance level of hypothesis testing. If there is no p value in your data (i.e. only region name and region index, then set significance as NA) |
regionCodeProvided |
use TRUE if region code was provided in nii2RData() funciton and FALSE if not. |
view |
view of brain to see. One can choose coronal, axial, SL, or SR. |
color |
color of dots and lines. User can specify multiple colors in this argument and the function will use these colors periodically. |
screenShot |
whether to save figure as png. If it is "None", then the figure will not be saved; If it is a name, for example, "plot.png", then it will be saved as "plot.png". |
If you provide an input with multiple patients, the function will ask you to specify which patients data you would like to use.
1-4 view(s) (depends on the number of views user would like to see) of brain graphic network. All significant regions are connected by colored lines.
Xubo Yue, Chia-Wei Hsu (tester), Jian Kang (maintainer)
1 2 3 4 5 6 7 8 9 | #It will take more than 3 min to run
#write data into temp file
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))
multipleRegion_plot(result1, view="axial")
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