id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_yxyq6ahmcjafbdnyyrzgzesjse	Todd C. Pataky	Power1D: a Python toolbox for numerical power estimates in experiments involving one-dimensional continua	2017	24	.pdf	application/pdf	8047	1460	63	continuum-level hypothesis testing, but very few offer power computing capabilities, How to cite this article Pataky (2017), Power1D: a Python toolbox for numerical power estimates in experiments involving onedimensional continua. The test statistic continuum is depicted along with uncorrected, random field theory (RFT)-corrected and power analysis that permits arbitrary signal and noise modeling. • Continuum-level omnibus power does not necessarily pertain to the modeled signal. model1 = power1d.DataSample( baseline , signal1 , noise , J=J ) model1 = power1d.DataSample( baseline , signal1 , noise , J=J ) underly power computations, and in particular the nature of the signal and noise models. power1d can be achieved using a null signal and two different noise models as follows: The noncentral RFT method models signal as a constant continuum shift (Hayasaka et al., yet exist in any other package: arbitrary continuum-level signal and noise modeling and computational power analysis via continuum-level signal and noise modeling.	./cache/work_yxyq6ahmcjafbdnyyrzgzesjse.pdf	./txt/work_yxyq6ahmcjafbdnyyrzgzesjse.txt