Description Usage Arguments Details Value Author(s) References See Also Examples

Generate datasets for MixfMRI simulations

1 | ```
gendataset(phantom, overlap)
``` |

`phantom` |
a phantom dataset. |

`overlap` |
a desired overlap level. |

This is a function to generate simulated fMRI data based on the input
`phantom`

and the desired `overlap`

level for the fMRI p-value.

Return a list contains `eta`

for mixing proportion,
`overlap`

for the desired level, `mu`

for center of p-values,
`class.id`

for the true classifications where p-values belong to,
`tval`

for the testing statistics, and `pval`

for the p-values
of interesting in simulations.

Wei-Chen Chen and Ranjan Maitra.

http://maitra.public.iastate.edu/

1 2 3 4 5 6 7 8 9 10 | ```
library(MixfMRI, quietly = TRUE)
set.seed(1234)
da <- gendataset(phantom = shepp1fMRI, overlap = 0.01)$pval
da2 <- gendataset(phantom = shepp2fMRI, overlap = 0.01)$pval
par(mfrow = c(2, 2), mar = rep(0.05, 4))
image(shepp1fMRI[50:210, 50:210], axes = FALSE)
image(shepp2fMRI[50:210, 50:210], axes = FALSE)
image(da[50:210, 50:210], axes = FALSE)
image(da2[50:210, 50:210], axes = FALSE)
``` |

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