Description Usage Arguments Value Author(s)
Lesion to symptom mapping performed on a prepared matrix.
The SVR method is used. The function relies on the
svm
function of the e1071 package. The
analysis follows a similar logic found in the SVR-LSM code published
by Zhang (2015).
After a first run of SVM, p-values are established with a
permutation procedures as the number of times weights are randomly
exceeded in permutations. The returned p-values are not corrected
for multiple comparisons.
1 2 3 |
lesmat |
matrix of voxels (columns) and subjects (rows). |
behavior |
vector of behavioral scores. |
SVR.nperm |
(default=10,000) number of permutations to run to estimate p-values. Note, these p-values are uncorrected for multiple comparisons. |
SVR.type |
(default='eps-regression') type of SVM to run, see
|
SVR.kernel |
(default='radial') type of kernel to use, see
|
SVR.gamma |
(default=5) gamma value, see
|
SVR.cost |
(default=30) cost value, see
|
SVR.epsilon |
(default=0.1) epsilon value, see
|
showInfo |
logical (default=TRUE) display messages |
... |
other arguments received from |
List of objects returned:
statistic
- vector of statistical values
pvalue
- vector of pvalues
Daniel Wiesen, Dorian Pustina WHAT IS THE RATIONALE FOR SCALING BY 10? WHAT IS THE RATIONALE FOR SCALING BY 10?
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