Perform a Mann-Whitney U test between a set of minc volumes.
mincWilcoxon(filenames, grouping, mask = NULL, maskval = NULL)
| filenames | Filenames of the MINC volumes across which to run the test |
|---|---|
| grouping | Contains same number of elements as filenames; must contain exactly two groups. |
| mask | A mask specifying which voxels are to be included in the test |
| maskval | The value with which to mask the data (data will masked +/- 0.5 around this value |
The output will be a single vector containing as many elements as there are voxels in the input files, with that voxel's U value (lower one). The number of observations in each sample is also saved as an attribute(m and n) so the result can be passed into mincFDR.
# NOT RUN { getRMINCTestData() gf <- read.csv("/tmp/rminctestdata/minc_summary_test_data.csv") mw <- mincWilcoxon(gf$jacobians_0.2,gf $Strain) # }