# A-Z Index of Functions in Directory /Users/dvimont/matlab2/Stat_Tools/

Global Index (all files) (short | long) | Local Index (files in subdir) (short | long)

NameDescription

A
acosweightx=cosweight(sst, nya, oro);
annave[x, clim] = annave(y);
autocorra = autocorr(x, lags);

C
climave[x, clim] = climave(y);
complex_eofComplex (Hilbert) EOF:
corrr=corr(vect1, vect2, lag);
corr2r=corr(vect1, data, lag);
corr_sig[ccoef, sig_pat] = corr_sig(x, y, sig_lev);
cospfunction prod=cosp(x,y,nya,minperc)
cosweightx=cosweight(sst, nya);
cov5For the 2x2 matrix, only returns a single value...
cross_corra = cross_corr(x1, x2, lags);

D
detrendDETREND Remove a linear trend from a vector, usually for FFT processing.
dof_corrdof = dof_corr(y, x);

E
eof2function [pc,eof_reg,sing]=eof2(input_array,n,nya)
eof_dan[lam, lds, pcs, per] = eof_dan(data);
eof_dan2[lam, lds, per] = eof_dan(c, isrot, nkp);
eof_dan_noweight[lam, lds, pcs, per] = eof_dan(data);
eof_nanfunction [pc,eof_reg,sing]=eof2(input_array,n,nya)
eof_routineNormalized eof routine:

F
filter_nrdout = filter_nr(weights, data);

G
get_dofdofx = dof(data);

L
lin_removelin_remove: linearly remove a time series from data

M
myrunning_avefunction y = running_ave ( x, n, usenan ) ;
myrunning_sumfunction [y, nsum] = running_sum ( x, n, usenan ) ;

N
norther=north(s,dat);

P
partial_autocorralpha = partial_autocorr(x, lags);

R
running_averagefunction y = running_ave ( x, n, usenan ) ;
ravefunction y = rave ( x, n, usenan ) ;
regress_danfld=regress(tm,dat);
regress_eof[out, ccoef] = regress_eof(dat, pcs, lags);
regress_map[out, ccoef] = regress_map(dat, pcs, lags);
regress_outDETREND Linearly remove time series from data.
remove_mean[x, clim] = annave(y);
rsumfunction [y, nsum] = rsum ( x, n, usenan ) ;

S
seasaveav = seasave(decx, x);
smoothdout = smooth(vect, data);
standardizefunction y = standardize ( x )
std_NaNstdx = std_NaN(x);
SVD_routineWeight data accordingly

T
tscore_danscore = tscore(dof, tail_per);
ttest_dan[tstat, dof] = ttest(x1, x2);

U
uncosweightx=cosweight(sst, nya);

V
varmaxtUSE: [Frot,AT,Cscor,Vrot,h] = varmaxt(Fm,L,norm,A)
vectsig[fval, dof1, dof2] = vectsig(c1, c2);

W
where_sig[locmax, locmin] = where_sig(x);