I have a 99*1 symbolic expression array.it has 676 variables that I stored them in 'varsubs'
I convert it to function with
cccc = matlabFunction(sloads , 'vars' , varsubs)
I check the number of input arguments with
nargin(cccc)
and matlab return 676.
after that for test the cccc function I created an array
xxxx = ones(1,676)
and the substitute that in cccc
cccc(xxxx)
but I got an error
**Error using
Not enough input arguments.**
Who knows why this error happend ?
xxxx is a single array with 676 elements, so you're only actually passing 1 argument. I'm really not sure what exactly you're trying to do but if you really want to pass 676 arguments all equal to one then you need to generated a comma separated list by calling {:} on a cell array whose elements are all equal to 1:
xxxx{676} = [];
[xxxx{:}] = deal(1);
cccc(xxxx{:})
Related
I have a cell array with values similar to the following one
13:41:54.879
I would like to extract only 13:41 part of the given value and mitigate the rest. I tried various combinations of extractBefore() and extractAfter() but couldn't get it.
You can use a regular expression to match the pattern "digits, colon, digits":
c = {'13:41:54.879', '1:22:33.45679'};
result = regexp(c, '\d+:\d+', 'match', 'once');
gives
result =
1×2 cell array
{'13:41'} {'1:22'}
I created a list of names of data files, e.g. abc123.xml, abc456.xml, via
list = dir('folder/*.xml').
Matlab starts this out as a 10x1 struct with 5 fields, where the first one is the name. I extracted the needed data with struct2table, so I now got a 10x1 table. I only need the numerical value as 10x1 double. How can I get rid of the alphanumerical stuff and change the data type?
I tried regexp (Undefined function 'regexp' for input arguments of type 'table') and strfind (Conversion to double from table is not possible). Couldn't come up with anything else, as I'm very new to Matlab.
You can extract the name fields and place them in a cell array, use regexp to capture the first string of digits it finds in each name, then use str2double to convert those to numeric values:
strs = regexp({list.name}, '(\d+)', 'once', 'tokens');
nums = str2double([strs{:}]);
I want to use fscanf for reading a text file containing 4 rows with an unknown number of columns. The newline is represented by two consecutive spaces.
It was suggested that I pass : as the sizeA parameter but it doesn't work.
How can I read in my data?
update: The file format is
String1 String2 String3
10 20 30
a b c
1 2 3
I have to fill 4 arrays, one for each row.
See if this will work for your application.
fid1=fopen('test.txt');
i=1;
check=0;
while check~=1
str=fscanf(fid1,'%s',1);
if strcmp(str,'')~=1;
string(i)={str};
end
i=i+1;
check=strcmp(str,'');
end
fclose(fid1);
X=reshape(string,[],4);
ar1=X(:,1)
ar2=X(:,2)
ar3=X(:,3)
ar4=X(:,4)
Once you have 'ar1','ar2','ar3','ar4' you can parse them however you want.
I have found a solution, i don't know if it is the only one but it works fine:
A=fscanf(fid,'%[^\n] *\n')
B=sscanf(A,'%c ')
Z=fscanf(fid,'%[^\n] *\n')
C=sscanf(Z,'%d')
....
You could use
rawText = getl(fid);
lines = regexp(thisLine,' ','split);
tokens = {};
for ix = 1:numel(lines)
tokens{end+1} = regexp(lines{ix},' ','split'};
end
This will give you a cell array of strings having the row and column shape or your original data.
To read an arbitrary line of text then break it up according the the formating information you have available. My example uses a single space character.
This uses regular expressions to define the separator. Regular expressions powerful but too complex to describe here. See the MATLAB help for regexp and regular expressions.
I have an cell-array of dimensions 1x6 like this:
A = {'25_2.mat','25_3.mat','25_4.mat','25_5.mat','25_6.mat','25_7.mat'};
I want to read for example from the A{1} , the number after the '_' i.e 2 for my example
Using cellfun, strfind and str2double
out = cellfun(#(x) str2double(x(strfind(x,'_')+1:strfind(x,'.')-1)),A)
How does it work?
This code simply finds the index of character one number after the occurrence of '_'. Lets call it as start_index. Then finds the character one number lesser than the index of occurrence of '.' character. Lets call it as end_index. Then retrieves all the characters between start_index and end_index. Finally converts those characters to numbers using str2double.
Sample Input:
A = {'2545_23.mat','2_3.mat','250_4.mat','25_51.mat','25_6.mat','25_7.mat'};
Output:
>> out
out =
23 3 4 51 6 7
You can access the contents of the cell by using the curly braces{...}. Once you have access to the contents, you can use indexes to access the elements of the string as you would do with a normal array. For example:
test = {'25_2.mat', '25_3.mat', '25_4.mat', '25_5.mat', '25_6.mat', '25_7.mat'}
character = test{1}(4);
If your string length is variable, you can use strfind to find the index of the character you want.
Assuming the numbers are non-negative integers after the _ sign: use a regular expression with lookbehind, and then convert from string to number:
numbers = cellfun(#(x) str2num(x{1}), regexp(A, '(?<=\_)\d+', 'match'));
I have one .txt file and I have converted it to first a table Ta(Ta=readtable（'xxx.txt'）) then an array Aa（Aa=table2array(Ta)）, the .txt file contains 220 rows and 12 cols, but the table and the array only have 219 rows and 1 col. Where did I do wrong?
Then when I tried to do stepwise regression I got error message: Undefined function ' stepwiselm' for input arguments of type 'cell'.
My coad was: mdl=stepwiselm(Aa)
In the .txt file, the first raw are texts e.g. elevation, hight, yields etc. I though I could use these names to define Predictor variables and Response variable. But since these names are lost in Aa, how should I write code for stepwise regression?Thanks!
Try the following
delim = ' ';
nrhdr = 1;
A = importdata('A-100spreg2-raa06a.txt', delim, nrhdr);
A.data will be your data, A.textdata your header. A ".txt" does not contain columns, so you need to specify a delimiter (I assumed a space). You can then use your A.data in your stepwise function.
As you indicated you wanted column 10 as y, and I assume others as X, use
stepwise(A.data(:,1:9),A.data(:,10))
I wouldn't use the headers for anything other than creating labels in figures.