sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
b1df7554e6131d769d47aa6ff9a278e0d7f94ed0021253aa40e8b31dd7fb1efc | MATLAB | 52 | 3 | function xN = getArrayElem(x, n)
xN = x(n);
end
|
13eda7fd0fbb8330a6611f4c80f0582894babb1db14ce3f71b7e6557f483bcbb | MATLAB | 60 | 3 | function out = getVarName(var)
out = inputname(1);
end |
fe527ab7b64cfb3b54c47716604b8fab86b5955c91f48640c231d53f555f3e72 | MATLAB | 64 | 3 | function ppm = getPPM(MRSIStruct)
ppm = MRSIStruct.ppm;
end
|
30d65ee0dad3454a6f9e9d9804a7f5ee61e51c771c2d6438907b130bda2de0aa | MATLAB | 68 | 3 | function [Pos] = LoadPos(FileName);
Pos = dlmread(FileName);
end |
5a567b906970b195492cc51617108d5ca18dd9db7395aa668f52b94a6c166838 | MATLAB | 68 | 3 | function referencePPM = getReferencePPM
referencePPM = 4.65;
end |
c973ab3e6644df47e6380461aa6f3ef180355be27cc37c1fe7c00aadd0af77c1 | MATLAB | 68 | 3 | function data = getData(MRSIStruct)
data = MRSIStruct.data;
end
|
10c8e38d4265b87f141a54ae89cdafc9a2d32851fb0ff5dc340e7211fb7421d9 | MATLAB | 71 | 2 | function se = stderror(X)
se = nanstd(X,0,1)./sqrt(sum(~isnan(X),1));
|
03dffee55864585a702b4d0c0583c999a50bbff4032ebbd9f837f6ab9a6ae709 | MATLAB | 74 | 3 | function dataSize = getSize(MRSIStruct)
dataSize = MRSIStruct.sz;
end
|
2f67f0910fd5ea6434ce9dc29fbb21a2d525b4bdce1be936fe818ad3d2430f5a | MATLAB | 77 | 5 | function B = inf2nan(A)
%changes Inf to NaN
B = A;
B(isinf(A)) = NaN;
end |
d602a006f96639d4ab0e7a7867e3f3b87952d12e93ac44c0bca7a02cc6b5f634 | MATLAB | 77 | 3 | function allDims = getAllDims(MRSIStruct)
allDims = MRSIStruct.dims;
end
|
bb04a09d2c8a3c2555acdbabbee1ba0393d765138dad7cd0c51445cedcfce2b2 | MATLAB | 79 | 3 | function adcTime = getAdcTime(MRSIStruct)
adcTime = MRSIStruct.adcTime;
end |
864208a5c449a2da2bb99987cbec1c3a2124716f76a33291cd1d096796065563 | MATLAB | 82 | 3 | function MRSIStruct = setPPM(MRSIStruct, newPPM)
MRSIStruct.ppm = newPPM;
end
|
291bd7eb447ae79c61dd0258b79a0641a1b0d94e75ce350cb9d5b4fc8982ba33 | MATLAB | 83 | 4 | function result = kwd_parent()
import zapit.yaml.*;
result = 'parent';
end
|
2dfff5c84d1935f5c6633da8a39e91aee516c3b6973035421350a9b62346917e | MATLAB | 83 | 3 | function MRSIStruct = setSize(MRSIStruct, newSize)
MRSIStruct.sz = newSize;
end |
00824dc11684cc997afeaaebe0d87ef8d324a164c2d249783abbbcdc9f252ecd | MATLAB | 84 | 3 | function time = getSpectralTime(MRSIStruct)
time = MRSIStruct.spectralTime;
end
|
3c400a609212b0c446feaa3300f0cf3e62638914e3b9584294cd4f7801a27dae | MATLAB | 85 | 4 | function myKNNClassifierTrain(trainSet, validCells, nClasses)
probeInd = randpemr(
|
a4f9b1246f38f773bd97ceae7301c92b08dd830f40380325987375ec88090ad7 | MATLAB | 85 | 7 | %% check_sample
check_hsn_tree
check_hss_tree
check_sample2_tree
check_sample_tree
|
28fca86fb2e31b4354c709678abe35b24f9e78a8bc03b80cdc34f5401a221cf9 | MATLAB | 87 | 3 | function MRSIStruct = setAdcTime(MRSIStruct, value)
MRSIStruct.adcTime = value;
end |
26f68b4fd9a225bc23ab6a41febca5041d1393d56ca6d90939abd4b8df9960e3 | MATLAB | 94 | 3 | function runNumber = GetRunNumber(x)
runNumber = str2double(x(strfind(x, 'run')+3:end));
end |
47db7b558f25096a46ced68fd045a9f06a8f7586ec9009cf920e65732859252a | MATLAB | 94 | 3 | function MRSIStruct = setImageOrigin(MRSIStruct, value)
MRSIStruct.imageOrgin = value;
end |
9a4b4ef6605220433396c59fe3c4c9dbc93a6893cd995ce48ee79721e3136c1d | MATLAB | 96 | 6 | function sendUhOh()
global ws
out.EVENTTYPE = 'UHOH';
ws.send(jsonencode(out)) |
c1a5a50b1e04fbe23f1183f2c59c2838e799a0c9d526c759041748068c5e48c9 | MATLAB | 96 | 6 | function [ out ] = ColumnVector( in )
% convert vector to column shape
out = in(:);
end
|
d205c0c3c4b73ef5851993f78363d27d8de8314a902ddee0986521d55091599d | MATLAB | 96 | 4 | function result = issingle(obj)
import zapit.yaml.*;
result = all(size(obj) == 1) ;
end
|
e3926229afb290eff9980fa142c7af976ffb795f47e86a6116ed9b30adad121a | MATLAB | 96 | 5 | function [yfit]= p2fit(x,y,xfit)
[p,S] = polyfit(x,y,2);
yfit = polyval(p,xfit,S);
end |
01f6dea6b7b00f3c7d30aec52e1dd31fd225ed2749a9fd43a432e39e3c54e324 | MATLAB | 97 | 5 | function B = num2nan(A)
%This function changes -1.2 to NaNs...
A(A == -1.2) = NaN;
B = A;
end |
9115b45b73ba3eda1f61d3c3c41890ba09cbb4acef88eacb6b9b411934a6c03f | MATLAB | 97 | 3 | function MRSIStruct = setAdcDwellTime(MRSIStruct, value)
MRSIStruct.adcDwellTime = value;
end |
8745918634399133b326b747faa9c576e877b2fe19658a1b6c3d781b1d9ebaaf | MATLAB | 98 | 8 | % Perform all unit tests
%
% (c) Corey Baron
nufftOp;
rcvrOp;
mrSampFunc;
sampHighOrder;
|
34eef106d5d81466e5b3f623fad7c716a2dfc9a49994cd5798381877995539b6 | MATLAB | 99 | 3 | function adcDwellTime = getAdcDwellTime(MRSIStruct)
adcDwellTime = MRSIStruct.adcDwellTime;
end |
a9996bff633a478b0a7f08635f2c77c5807f388f56436a2a01cdb7ec43588875 | MATLAB | 99 | 3 | function MRSIStruct = setSpectralWidth(MRSIStruct, value)
MRSIStruct.spectralWidth = value;
end |
e83beb3d467ecbe7cfe3eaf74e41db4a0a9d1c85eceeecb8f08877dc2ed2925b | MATLAB | 99 | 4 | function result = isord(obj)
import zapit.yaml.*;
result = ~iscell(obj) && any(size(obj) > 1);
end
|
2c97529798733aee73ef382eaf41fb56b6b8a157b6d6c2772fc13e4e59445b94 | MATLAB | 100 | 4 | %% ccc script to close, and clear everything, including the command line.
close all;
clear all;
clc; |
e633b0aa74911e2c222cf169b64257ce4acb419d93634f8aea02f861d1f64d22 | MATLAB | 100 | 3 | function affineMatrix = getAffineMatrix(MRSIStruct)
affineMatrix = MRSIStruct.affineMatrix;
end
|
d62f5eaa4ff7f3c8f307316c04e6d9f8e1312ccbdc0351850cfbdc7ca5bc1293 | MATLAB | 102 | 3 | function MRSIStruct = setSpectralTime(MRSIStruct, newTime)
MRSIStruct.spectralTime = newTime;
end
|
3e45dd493c63d58dc24e56c46589cf2bb80bd7b1d62e6b4bd2aec41166674b60 | MATLAB | 103 | 4 | %% ccc script to close, and clear everything, including the command line.
close all;
clear all;
clc; |
db502ecf7452d9a82792535ed5b7df0eed7eab9607d96be3cfd12daed510e71d | MATLAB | 103 | 4 | function colors = getONOFFXYColors
colors = brewermap(4, 'BrBG');
colors = colors([4 3 1 2], :);
end |
e47c3c397fd55ff9188f1da96b771c6fd17eeb5a1efda4160955f5824ba932fb | MATLAB | 103 | 3 | function spectralWidth = getSpectralWidth(MRSIStruct)
spectralWidth = MRSIStruct.spectralWidth;
end |
59cb45585b3e77a07d0c1d0ffe782fce0f25939ce4e5cd1b3f9979cfc1f5cedd | MATLAB | 104 | 3 | function x = uniform_sample_in_range(range_min,range_max)
x = (range_max - range_min)*rand + range_min; |
074a8e61fc874b5bd5adf34b71b62e17a186ea033244d14922328b646c5ff910 | MATLAB | 105 | 7 | clear;
clc;
subs=1:1:30;
parfor ss=1:length(subs)
sub=subs(ss);
snr=savefor_Figure7(sub);
end |
5ac9521c8e1c5af0205b4e20ed7c34eb6483e7769d4ef1d4863ea60d26790b81 | MATLAB | 105 | 4 | function MRSIStruct = op_CSIComplexConj(MRSIStruct)
MRSIStruct.data = conj(MRSIStruct.data);
end |
8376b51412f415dda9e76477a6f8e329aca431945f2cb7bb69644fea1c9fbd22 | MATLAB | 106 | 1 | function rad = deg2rad(deg)
% function rad = deg2rad(deg)
% Convert degrees to radians
rad = pi*deg/180;
|
3aecb3e4b28f02c8177a1aba0a9ffe3b15b8bf5c2cfcfe50d64342a8575c6045 | MATLAB | 108 | 5 | function r = boundUniformRand(bound,n)
a = bound(1);
b = bound(2);
r = a + (b-a).*rand(n,1);
end |
fef4a11827175d8fbf3d2114ae36f34a6bb7e9bfc31f50affed5b412333d5e26 | MATLAB | 113 | 8 | function inNum = nearZerotoZero(inNum,tol)
if nargin == 1
tol = 1e-2;
end
inNum( abs(inNum) < tol) = 0;
end |
43719b025580bd760b8836dd9867dc85ea7f29766ebf8018953cca8d51638c5c | MATLAB | 114 | 6 | function live2pSessionDone(src, evt, varargin)
global ws
out.EVENTTYPE = 'SESSIONDONE';
ws.send(jsonencode(out)) |
5f228c94ef5f66eedb505516504c49371eb555ae13bbbfd6349f404549c0b03a | MATLAB | 115 | 4 | function result = ismymatrix(obj)
import zapit.yaml.*;
result = ndims(obj) == 2 && all(size(obj) > 1);
end
|
60aa8596630ebe0eaf3b436d0bea92619a415bb7d467c7eafee1c53981b06bcd | MATLAB | 117 | 7 | function dispPath = getDisplayPath()
%
% dispPath = getDisplayPath
%
dispPath = fileparts(which(mfilename));
return; |
c3a75cc399b0621305a9f68d5c368f22b810d5dfaae8ce6da4f567753288299c | MATLAB | 118 | 3 | function MRSIStruct = setAffineMatrix(MRSIStruct, newAffineMatrix)
MRSIStruct.affineMatrix = newAffineMatrix;
end
|
4b403810e08404c36a03ba6638364e2601069fabcf68e6ef4d07b99591102afe | MATLAB | 120 | 7 | function s = sem2(data, dim)
if nargin < 2
dim = 1;
end
s = nanstd(data, [], dim)./(sqrt(sum(~isnan(data), dim))); |
4ab55d07abc5f9ed56ed155ed8b8e6c66f5375d2c7ba0dd2afff348ab40cac00 | MATLAB | 121 | 11 | clear
clc
close all
subs=30;
parfor sub=1:subs
subnum=sub;
[Downsdata]=Downsampling(subnum);
end
|
e225ab15431d7a161a3e521a6e6d5b25e2e15dc9e07dae8fc9a6c2ffdda825cb | MATLAB | 124 | 5 | function data = file_read(fname, format)
fid = fopen(fname);
data_ = textscan(fid, format);
data = data_{:};
end |
081857ad828f4fc3a7118537997ba1e7e717b40669fc57b7225acdc1b8cead04 | MATLAB | 125 | 13 | %% check_gauss
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]);
|
2443e9e12be49c45c91073527233d6474eefee5b74da248173ac187c3c35c560 | MATLAB | 125 | 13 | %% check_shine
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]);
|
66342dcb7972d64f9a9f71b6d8aace72ce541eae69a9c6836a26661ef9bfccae | MATLAB | 126 | 13 | %% check_tprint
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]);
|
4d868c32d79177a96cd24a74194ae8c5c646d83887190bbbfabd3627d7b6f0db | MATLAB | 127 | 13 | %% check_bezahlt
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]);
|
5235753d97588ad2dc83182efad1cd9ccc93eda46d07b3ef0f0ed78d4d67f5ce | MATLAB | 127 | 13 | %% check_pov_tree
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]); |
71bd3d62426c891fbb3db64e8aac966bc8ff8a726369ed90f6c23dcde412e778 | MATLAB | 127 | 13 | %% check_ver_tree
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]); |
8b23f03dd89f313d5dadc746bae33b146c8d54a562058a0332901971192f52b1 | MATLAB | 127 | 13 | %% check_x3d_tree
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]); |
cc61fe31c716fd4370aba6c5ad02b7b9755615280ca2e429ad39a1ca757e19d2 | MATLAB | 127 | 13 | %% check_rad2deg
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]);
|
f033d5c16bd77f513ad7c2b93d36f1b1c5f6332d6f3597137b1edbf1f920012b | MATLAB | 127 | 13 | %% check_swc_tree
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]); |
f0a83520332af79e35ce1c5b473d60adffbc85d2458ab357a6ea4b690bcda608 | MATLAB | 127 | 13 | %% check_deg2rad
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]);
|
f2edd383599e656f6e943f0da2684fdf963072e5d18917085362420e63cdb064 | MATLAB | 127 | 13 | %% check_eucdist
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]);
|
78b8d7b53522c18f26208c72a3e61e87dd96f225a7b564545bad3f2ec452dc25 | MATLAB | 128 | 13 | %% check_tran_tree
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]); |
7c3f17a58a46e91ff0891b253bd15d128e4398c0c1bf6e55f00144ee48a1a479 | MATLAB | 128 | 13 | %% check_gifmaker
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]);
|
8b2606d048dacb923c6ec4f005df1d80a6dfbd80ab8506a9a678a4dc0efd9369 | MATLAB | 128 | 13 | %% check_hsn_tree
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]);
|
976b903a912d062b70d7f8100bee20f0c4448a56b8526aeb2bafa62d9d02e4ca | MATLAB | 128 | 13 | %% check_save_tree
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]); |
97876f0aaa22168284c0b33d92999fe9166c304c1d5f577d0b7b85e4e2e513e0 | MATLAB | 128 | 13 | %% check_scalebar
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]);
|
c1339ba2c4aade6179294e300f763c71ca9c153d9a9ca4eb242959402e279b3d | MATLAB | 128 | 13 | %% check_hss_tree
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]);
|
11b3414ebf3320b94059565e51bbb1b3af269ec7b5424e2ae2cee47763d8a705 | MATLAB | 129 | 13 | %% check_save_stack
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]); |
49c7752466e4d75e06ff2d5a906b876efc2dc279d86fc2fbb90fede45b27f3eb | MATLAB | 129 | 13 | %% check_stats_tree
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]); |
4dcfde35298315911b9504e9056cfb499f3039b98fcac4e66af6a91ac952bfe0 | MATLAB | 129 | 13 | %% check_sholl_tree
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]); |
5a5654a3e86163c8a676f88ea2b946ded048e4f29a0d3214aa654dd33fe44c3a | MATLAB | 129 | 4 | function MRSIStruct = setData(MRSIStruct, data)
MRSIStruct.data = data;
MRSIStruct = setSize(MRSIStruct, size(data));
end |
79374687062179cdc022afabb89b6f8d4d52f0e5fcbcc539ba016675ea369e3e | MATLAB | 129 | 13 | %% check_zcorr_tree
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]); |
85884e3502e50b297f273e2b5f939e737f172de61caa04d8a01b48fefe1bca08 | MATLAB | 129 | 13 | %% check_show_stack
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]); |
fc17effe2da28718378c4e8956452da56eb97f71f3c43c356a3461c294d4e50e | MATLAB | 129 | 13 | %% check_skel_stack
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]); |
fc29065c753d0616197bd28bea588f8e00bd717bf69531376034b4ef2b41294e | MATLAB | 129 | 13 | %% check_roundshow
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]);
|
82342aba0ea1f106a32f428090d8d6d6c5f83c9d81c6faefa81599d36a786d97 | MATLAB | 130 | 13 | %% check_neuron_tree
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]); |
a185b83ce1b24874788207028a2bb5d570e8129dc0ed4bf00a971eab71bd19e7 | MATLAB | 130 | 13 | %% check_dstats_tree
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]); |
6918baf54687b09642b9a40d347f968f3dd9370b85d4129c829b57bbfc13c763 | MATLAB | 131 | 13 | %% check_sample_tree
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]);
|
7ad59609cf2f5f5163d4f9f65f9717a9ff362fa26ec8d5ee828536f48ec14da7 | MATLAB | 131 | 13 | %% check_imload_stack
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]); |
b8c89d1367841d1bee309a9897ceb60ffea6adac78b8d194f5429a4d455e3941 | MATLAB | 132 | 13 | %% check_sample2_tree
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]);
|
e9e8094906a5e2a5e6f0a29aab4253a7ddde6c51399bd6c3d668f0b38d8e46a9 | MATLAB | 132 | 13 | %% check_neuroml_tree
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]); |
f7d5edfbc82290a10091acbc3bc97ca80d8eae6e05c5447484d534e8fab2c65e | MATLAB | 132 | 13 | %% check_loaddir_stack
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]); |
95fb9707d9f94873b670cd6c1ca1bca1137f3a178b1ea07b6a909de5e7784aae | MATLAB | 133 | 4 | function frequency = getHzFromPPM(shifts, b0)
gamma = getGamma("overTwoPi", true);
frequency = shifts * gamma * b0 / 1e6;
end |
bd762eb2c37848db7efbe4892b62b46e8546196f91ede1a3934d82384c0dc56d | MATLAB | 134 | 1 | function ang=pix2angle(display,n)
%PIX2ANGLE
%ang=pix2angle(display,n)
ang=2*180*atan(display.pixelSize*(n/2)/display.distance)/pi;
|
b0d39ff6a46942160db768ec7d68ecd31ecf58cdd43b67a30d1ea345d130b9df | MATLAB | 135 | 13 | %% check_neurolucida_tree
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]); |
d28c0a08ac6fab716ddc482c510b37f3d16f0ab0678dc954303dd86b3d08a8e0 | MATLAB | 135 | 13 | %% check_rotation_matrix
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]);
|
3341d530c3f6a204e4da3c73eda41ee7c02d19498754857beb916adb0c830675 | MATLAB | 137 | 3 | function MRSIStruct = setSpectralDwellTime(MRSIStruct, newSpectralDwellTime)
MRSIStruct.spectralDwellTime = newSpectralDwellTime;
end |
cd222308b3ca5ff43a1bcda61d8223637824b4831227c9a993351000e5911def | MATLAB | 139 | 13 | %% check_neuron_template_tree
%% test 1
%% test 2
tprint ('./panels/_tree1', ...
'-jpg -HR', [10 10]); |
2856ddd52e2b7b936b88c37a2d3174b437beabc236e8ed762d0e7cf6c1a385d6 | MATLAB | 143 | 8 | function s = shrinkageOp(z,lmbd)
%% Author:
% Vivek Boominathan
% Rice University
% vivekb@rice.edu
%%
s = max(abs(z)-lmbd,0).*sign(z); |
396216c925ffa873a0373ef3d5c086eca5d26d6217ae7338af3cf229cf7f40e4 | MATLAB | 144 | 6 | function [transformed_data] = stabiliser(data,reference)
transformed_data=inv(sqrtm(reference))*data*inv(sqrtm(reference))';
end
|
9a1a2955bfe71e20abf54fceb51d582c5b58c1a9a812159961517753ba13995b | MATLAB | 145 | 4 | function X = naninterp(X)
% Interpolate over NaNs
X(isnan(X)) = interp1(find(~isnan(X)), X(~isnan(X)), find(isnan(X)), 'pchip'); %cubic
return |
b4c3fe3422e22e128ba12f3e6b6951acfab3140a3a21d233cfcfd9c51e280465 | MATLAB | 145 | 6 | function testCB(x, type)
%TESTCB Summary of this function goes here
% Detailed explanation goes here
disp([upper(type) ': ' num2str(x)]);
end
|
579fb0606829922dccf22b65c25a8ba640199612ea4b397e42508a0c15a4491e | MATLAB | 149 | 4 | function oris = idx2ori(stimIdxs, orientations)
% can include nans, just has to be the same length
oris = arrayfun(@(x) orientations(x), stimIdxs);
|
4172ce5f9060ae970903b1693d4f1e513038564f38addeef5f4f1d5bc0f1e33b | MATLAB | 150 | 8 | function ste = ste(dat)
% function ste = ste(dat)
for i= 1:size(dat,2)
ste(i) = nanstd(dat(:,i))/ sqrt(sum(~isnan(dat(:,i))));
end
return |
9d328c5f55f4753beb46300c31b58b60e43557be18605efa0e0f284ab9db13ca | MATLAB | 150 | 4 | function result = isrowvector(obj)
import zapit.yaml.*;
result = isvector(obj) && size(obj,1) == 1 && size(obj,2) > 1 && ndims(obj) == 2;
end
|
ce93fd9765f64c32de94056a75f497a8ddfdde3efe663bc5b271869d78d37e17 | MATLAB | 153 | 4 | function result = iscolumnvector(obj)
import zapit.yaml.*;
result = isvector(obj) && size(obj,2) == 1 && size(obj,1) > 1 && ndims(obj) == 2;
end
|
8cb99979e4ebeedc1ca51188fc17601af4abb87480a5c62957d5da5e6395c333 | MATLAB | 158 | 6 | function dbpath = getIAPS
% dbpath = getIAPS
dbpath = '//Users/danbang/Dropbox/ego/Matlab/ucl/fbri_dbs_econ/Scripts/UG_MSSM_HvsC/Repository/';
end |
63cb55995135f235c50406be47a2655db454cfc43c9cb8ec4ba353541a43ffb8 | MATLAB | 160 | 8 |
function varexp = calculateR2(raw,prediction)
res = raw' - prediction';
res_var = sum(res .^ 2) ./ sum((raw' - mean(raw')) .^ 2);
varexp = 1 - res_var;
end
|
f74aaf89348d14f744146e62b27e3d04eb46dc50e5507c61f76492733c4e5f87 | MATLAB | 160 | 10 | %% Acknowledgements
%
% The contents of the file ACKNOWLEDGEMENTS.txt is listed below.
%
% <include>ACKNOWLEDGEMENTS.txt</include>
%
%%
%
% <./index.html Home> |
ac37a913658ff37608dac01cb0d9e554cc02da48892af43fd1160eab30f22653 | MATLAB | 161 | 10 | function [Ang] = LoadAng(FileName);
Fp = fopen(FileName, 'r');
if Fp==-1
error(['Could not open file ' FileName]);
end
Ang = fscanf(Fp, '%f');
fclose(Fp); |
7a3d6d944dabae3e4b3a9727be29c5c3af6e9b27d7cfa9b290bf0243a8249099 | MATLAB | 162 | 10 | %% check_stacks
check_fitD_stack
check_imload_stack
check_load_stack
check_loaddir_stack
check_loadtifs_stack
check_save_stack
check_show_stack
check_skel_stack
|
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