nimare.generate.create_coordinate_dataset
- create_coordinate_dataset(foci=1, foci_percentage='100%', fwhm=10, sample_size=30, n_studies=30, n_noise_foci=0, seed=None, space='MNI')[source]
Generate coordinate based dataset for meta analysis.
Added in version 0.0.4.
- Parameters:
foci (
intorlist) – The number of foci to be generated per study or the x,y,z coordinates of the ground truth foci. (Default=1)foci_percentage (
float) – Percentage of studies where the foci appear. (Default=”100%”)fwhm (
float) – Full width at half maximum (fwhm) to define the probability spread of the foci. (Default=10)sample_size (
intorlist) – Either mean number of participants in each study or a list specifying the sample size for each study. If a list of two numbers and n_studies is not two, then the first number will represent a lower bound and the second number will represent an upper bound of a uniform sample. (Default=30)n_studies (
int) – Number of studies to generate. (Default=30)n_noise_foci (
int) – Number of foci considered to be noise in each study. (Default=0)seed (
intor None) – Random state to reproducibly initialize random numbers. If seed is None, then the random state will try to be initialized with data from /dev/urandom (or the Windows analogue) if available or will initialize from the clock otherwise. (Default=None)space (
str) – The template space the coordinates are reported in. (Default=’MNI’)
- Returns:
