I've a very large .mat file which contains a lot of data which I need to visualize. .mat file contains 5 row with each row containing 1x5 matrix - which contains the data. I need to concatenate specific rows together, then apply gmdistribution.fit to it. I'm not sure as to how exactly I access specific elements of the .mat file to concatenate them together.
Say I wish to concatenate first row - > 1st row with 2nd row - > 1st row. How would I go about doing this? I'm new to matlab and finding it difficult to grasp it.
Also, could you explain gmdistribution.fit, please? I read the documentation in their website, however, I still am not exactly sure about the parameters.
Thankyou for your help.
To access first row:
matrix(1);
To access second row:
matrix(2);
To vertically concatenate 1st and 2nd rows into a new matrix:
newMatrix = [matrix(1) ; matrix(2)];
And you can do this with any row in your matrix.
As for gmdistribution.fit, it is just trying to fit your matrix to a Gaussian distribution. Without a more specific question, all I can do is point you to the documentation, which holds and explains all the parameters.
Related
I try to process data from an excel file from several sheets (~200). Luckily the data is always at the same position in each sheet. I wrote the following code for this purpose which unfortunately does not work since I have problems with converting the cell entries to a matrix. Any idea how to solve that? Thanks!
[~, sheet_name] = xlsfinfo('mydata.xlsx');
for k=1:numel(sheet_name)
data{k}=xlsread('mydata.xlsx',sheet_name{k},'A7:A14');
b{k}=cell2mat(data{k}) %this line does not work...
end```
You are not using the cell2mat command on the whole cell.
data{k}
will already give you a matrix that contains the 7 entries of the sheet k.
You either need to use cell2mat on the whole cell after the loop:
b=cell2mat(data)
or
b(k)=data{k}
within the loop.
Unfortunately I am not too tech proficient and only have a basic MATLAB/programming background...
I have several csv data files in a folder, and would like to make a histogram plot of all of them simultaneously in order to compare them. I am not sure how to go about doing this. Some digging online gave a script:
d=dir('*.csv'); % return the list of csv files
for i=1:length(d)
m{i}=csvread(d(i).name); % put into cell array
end
The problem is I cannot now simply write histogram(m(i)) command, because m(i) is a cell type not a csv file type (I'm not sure I'm using this terminology correctly, but MATLAB definitely isn't accepting the former).
I am not quite sure how to proceed. In fact, I am not sure what exactly is the nature of the elements m(i) and what I can/cannot do with them. The histogram command wants a matrix input, so presumably I would need a 'vector of matrices' and a command which plots each of the vector elements (i.e. matrices) on a separate plot. I would have about 14 altogether, which is quite a lot and would take a long time to load, but I am not sure how to proceed more efficiently.
Generalizing the question:
I will later be writing a script to reduce the noise and smooth out the data in the csv file, and binarise it (the csv files are for noisy images with vague shapes, and I want to distinguish these shapes by setting a cut off for the pixel intensity/value in the csv matrix, such as to create a binary image showing these shapes). Ideally, I would like to apply this to all of the images in my folder at once so I can shift out which images are best for analysis. So my question is, how can I run a script with all of the csv files in my folder so that I can compare them all at once? I presume whatever technique I use for the histogram plots can apply to this too, but I am not sure.
It should probably be better to write a script which:
-makes a histogram plot and/or runs the binarising script for each csv file in the folder
-and puts all of the images into a new, designated folder, so I can sift through these.
I would greatly appreciate pointers on how to do this. As I mentioned, I am quite new to programming and am getting overwhelmed when looking at suggestions, seeing various different commands used to apparently achieve the same thing- reading several files at once.
The function csvread returns natively a matrix. I am not sure but it is possible that if some elements inside the csv file are not numbers, Matlab automatically makes a cell array out of the output. Since I don't know the structure of your csv-files I will recommend you trying out some similar functions(readtable, xlsread):
M = readtable(d(i).name) % Reads table like data, most recommended
M = xlsread(d(i).name) % Excel like structures, but works also on similar data
Try them out and let me know if it worked. If not please upload a file sample.
The function csvread(filename)
always return the matrix M that is numerical matrix and will never give the cell as return.
If you have textual data inside the .csv file, it will give you an error for not having the numerical data only. The only reason I can see for using the cell array when reading the files is if the dimensions of individual matrices read from each file are different, for example first .csv file contains data organised as 3xA, and second .csv file contains data organised as 2xB, so you can place them all into a single structure.
However, it is still possible to use histogram on cell array, by extracting the element as an array instead of extracting it as cell element.
If M is a cell matrix, there are two options for extracting the data:
M(i) and M{i}. M(i) will give you the cell element, and cannot be used for histogram, however M{i} returns element in its initial form which is numerical matrix.
TL;DR use histogram(M{i}) instead of histogram(M(i)).
I am using Matlab R2013b.
I have a 100x100 matrix which contains both numbers and strings. I converted it to a cell array (alldat) and wrote it to a csv file (blah.csv).
I then tried to append a single number to the top line of this csv file...which Matlab won't let me do.
cell2csv('blah.csv',alldat)
I can append the single number 'n' at the bottom of the matrix:
dlmwrite('blah.csv',n,'-append','delimiter',' ','roffset',1)
But it won't let me do it the other way around (so I can put the number in the first cell of the csv file, then have the matrix below it.
Can anyone advise?
I also tried outputting the cell array to a txt document using dlmwrite:
dlmwrite('blah.txt',alldat,'delimiter',' ');
And I kept getting this error:
Error using dlmwrite (line 113) The input cell array cannot be
converted to a matrix.
I often use tables for such tasks. Since you have a 100 x 100 array and not variables with different dimensions, it should be possible to adapt.
VarA={'12A3';123;'12B3'};
VarB={'45A6';456;'45B6'};
T=table(VarA,VarB);
writetable(T,'test.csv','WriteVariableNames',false)
T1=readtable('test.csv','ReadVariableNames',false)
You may want to use cell2table to create a table directly from your cell array, although it didn't work for me because it made some strange conversions from number to character.
I'm trying to finish a program and for some reason, the matrix I loaded into Matlab is messing with the ability to select the rows inside it. I'm trying to select all the rows in the matrix and see which values match the criteria for a Live setting. However I can select specific values/sections of the matrix in the command window without issue. Why is this happening? Any ideas?
It appears to only happen when in a for loop, I can do it just fine when it's on its own.
The syntax is: for x = start:stop. I think you are trying to do a for to the whole "A" matrix. You can split "A", according to its format (e.g. if is a table split in two variables).
bye
Richardd is right on; you're trying to iterate on a matrix, no good.
If I read you right, you're trying to run through your A matrix one column at a time, and see all the rows in that column? Assuming that is correct...
Your A matrix is 14x3, so you should go through your for loop 3 times, which is the size of your column dimension. Luckily, there is a function that MATLAB gives you to do just that. Try:
for iColumn = 1:size(A,2)
...
end
The size function returns the size of your array in a vector of [rows, columns, depth...] - it will go as many dimensions as your array. Calling size(A,2) returns only the size of your array in the column dimension. Now the for loop is iterating on columns.
Sorry I am new to matlab.
What I have: A folder containing about 80 subfolders, labeled Day01, Day02, Day03, etc. Each subfolder has a file called "sample_ids.txt" It is a n x m matrix in a tab delimited format.
What I need: 1 data structure that is an array of matrices, where each matrix is the data from "sample_ids.txt" and it should be in the alphabetical order of Day01, Day02, Day03, etc.
I have no idea how to get from point A to point B. Any guidance would be greatly appreciated.
You can decompose this problem into two parts: finding the files, and reading them into memory.
Finding the files is pretty easy, and has already been covered on StackOverflow.
For loading them into memory, you want a multidimensional array, which is as simple as creating a regular array and start using more index dimensions: A = ones(2); A(:,:,2) = ones(2); will, for example, give you a 3-dimensional array of size 2-by-2-by-2, with ones all over.
What you want, is probably want something like this:
A = [] % No prealocation. Fix for speed-up.
files = dir('./Day*/sample_ids.txt');
for file = files
temp = load(file.name);
A(:,:,size(A,3)+1) = temp;
end
disp(A) % display the contents of A afterards...
I haven't tested this code extensively, but it should work OK.
A few important points:
All files must contain matrices of the exact same dimensions - MATLAB can't handle arrays that have different dimensions in different layers (at least not with regular arrays - you could use cell arrays, but that quickly becomes more complicated...). Think of it as trying to build a matrix from vectors of different lengths.
If you have a lot of data, and you know how much, you can save a lot of time by pre-allocating A. This is as easy as A = zeros(k,l,m) for m datafiles with k rows and l columns in each. If you do this, you'll also have to figure out the index of the current file, so you can use that as the third index in the assignment (on the second line in the loop block). I leave this as an internet research excersize :)