Statistics
RANK
266,388
of 300,331
REPUTATION
0
CONTRIBUTIONS
5 Questions
3 Answers
ANSWER ACCEPTANCE
40.0%
VOTES RECEIVED
0
RANK
14,725 of 20,920
REPUTATION
14
AVERAGE RATING
0.00
CONTRIBUTIONS
1 File
DOWNLOADS
2
ALL TIME DOWNLOADS
146
RANK
of 168,124
CONTRIBUTIONS
0 Problems
0 Solutions
SCORE
0
NUMBER OF BADGES
0
CONTRIBUTIONS
0 Posts
CONTRIBUTIONS
0 Public Channels
AVERAGE RATING
CONTRIBUTIONS
0 Highlights
AVERAGE NO. OF LIKES
Feeds
biograph node sizes
Hey I hope you have fixed it by now if not then create variable vg = view(bg) Make sure the biograph GUI is kept o...
7 years ago | 0
Find NaN elements in a matrix
Do this to get the sum sum(isnan(x)) For other functions, it depends on what you actually need....
7 years ago | 0
Only Changing NaN values of a vector
I am not sure if I mentioned this but changing to 0 does not help as I am using N-1 cross validation and in the literature it is...
7 years ago | 0
| accepted
Submitted
Dummy_Rep_NaN(x)
Function for vectors that contain NaN values to help normalise with missing data.
7 years ago | 2 downloads |
Question
Only Changing NaN values of a vector
I want to access (202 elements) from vec A and check if isnan and change these but keep my normal values. Code to change all el...
7 years ago | 2 answers | 0
2
answersQuestion
Cross Validation not as accurate because I have NaNs in my training data
I am using N-1 cross-validation to train a vector to predict IQs based on connectivity values. Basically, my vector train_vec co...
7 years ago | 0 answers | 0
0
answersQuestion
Computational neuroscience - I have a 116x116x226 I need to calculate the eigenvalues for this array can anyone help me?
I have tried to use eig but doesn't work for 3D arrays. Any help will be greatly appreciated
7 years ago | 2 answers | 0
2
answersQuestion
Robust fit for vectors of different lengths
Hi I have x = train_vcts_ASD (13456)(13456x201) and Y = train_behav (190)(190x1). I am having errors making a robust regression ...
7 years ago | 0 answers | 0
0
answersQuestion
Loading multiple *mat files
all_data =[]; files = dir('*.mat'); for q = 1:lenght(files) load(files(q).name); all_data = [all_data D.F]; end ...
7 years ago | 1 answer | 0
