replace tInterval_Calc. There is case-sensitive unhappiness happening.

code/stats/tInterval_calc.m

@@ -0,0 +1,52 @@
+function tint=tInterval_Calc(vect, CI)
+% tInterval_Calc - confidence interval based on the t-distribution
+%
+% function tint=tInterval_Calc(vect, CI)
+%
+% Purpose
+% Calculate the t-interval about the mean to a given confidence
+% level (CI). Note that nans do not contribute to the calculation
+% of the sample size and are ignored for the SD calculation. Output
+% of this function has been checked against  known working code
+% written in R. 
+%
+% Inputs
+% - vect: Calculates the two-tailed 95% t confidence limits for the mean.
+%
+% - CI [optional]: a p value for a different 2-tailed interval. e.g. 0.01
+%
+% Example - plot a 1% interval [rather than the default %5]
+% r=randn(1,30);
+% T=tInterval_calc(r,0.01);
+% hist(r)
+% hold on
+% plot(mean(r), mean(ylim),'r*')
+% plot([mean(r)-T,mean(r)+T], [mean(ylim),mean(ylim)],'r-')
+% hold off
+%
+% Rob Campbell - 12/03/08
+%
+% Also see - SEM_calc, tinv
+
+narginchk(1,2)
+
+if isvector(vect)
+  vect=vect(:);
+end
+
+
+if nargin==1
+  CI = 0.025; %If no second argument, work out a 2-tailed 5% t-interval
+  stdCI=tinv(1-CI, length(vect)-1);
+elseif nargin==2
+  CI = CI/2 ; %Convert to 2-tail
+  stdCI=tinv(1-CI, length(vect)-1); %Based on the t distribution
+end
+
+if stdCI==0
+  error('Can''t find confidence iterval for 0 standard deviations!')
+end
+
+
+tint =  ( (nanstd(vect)) ./ sqrt(sum(~isnan(vect))) ) * stdCI ;    
+