bootstap_t computes symmetric confidence intervals based on the bootstrap-t procedure ARGUMENTS data ... vector or matrix data. If data is a struct, we have an unbalanced samples nboots ... numbe of bootstrap samplies alpha ... significance level display ... display results. Default no. RETURNS chat_b ... bootstrapped estimate of critical value of test statistic cilo ... lower range of confidence interval cihi ... upper range of confidence interval chat ... sample estimate of critical value of test statistic muhat ... sample estimate of population mean mu muhat_b ... bootstrap estimates of muhat meanmuhat_b ... mean bootstrap estimate of muhat bias ... bias between muhat and mean_b sehat ... sample estimate of standard error sehat_b ... bootstrap estimate of standard error (standard deviation of the B Bootstrap mean estimates NOTES - a demo version can be run by running the function without arguments. Choice of demo can be modified to either 'points' or curves' - For time-series data, the function operates as described by Lenhoff, 1999 and Duhamel 2004