Find the confidence intervals for a set of data for use with the errorbar function in MATLAB
Syntax: [Conf_intervals] = CONFIDENCE_INTERVALS( samples, interval )
Pass the samples to the function with the desired confidence interval (95
for 95%). Samples should be in each row of a column where the column is
the dataset to analyse
Inputs:
samples - A 1D or 2D array of samples where each column is a dataset
for which the confidence intervals are calculated.
interval - The confidence interval as a percentage (e.g. 95 for 95%
confidence intervals).
islognorm - Finds the confidence intervals using the log-normal
variance if set to TRUE.
Outputs:
Conf_intervals - Confidence intervals for use with the errorbar
function in MATLAB.
Example Usage:
load count.dat;
samples = count';
X=1:size(samples,2);
ConfIntervals = confidence_intervals(samples,95);
errorbar(X,mean(samples),ConfIntervals(:,1),ConfIntervals(:,2),'rx');
axis([0 25 0 250]);
See also: errorbar.m