Data from the publication
Petzschner FH, Glasauer S (2011) Iterative Bayesian Estimation as an Explanation for Range and Regression Effects: A Study on Human Path Integration. J Neurosci 31(47):17220 –17229.
DOI:10.1523/JNEUROSCI.2028-11.2011
Data is stored in two Matlab files.
AE_all.mat contains the raw angular estimation data, DE_all.mat the raw distance estimation data for all participants. Each structure in the cell array `Data` is for one participant and contains `pdata` (produced distance or angle, that’s the stimulus) and `rdata` (re-produced distance or angle, the response). There are 3x180 values, first dimension are the three ranges used, so `Data{1}.pdata(1,:)` contains the stimuli for participant 1 and the short range in the angular estimation experiment (given you loaded AE_all.mat).
Call
load('AE_all.mat')
plot(Data{1}.pdata',Data{1}.rdata','.')
xlabel('stimulus (deg)'),ylabel('reproduction (deg)')
to plot the angular estimation data for participant one with each range shown in a different color.
