reading a file in matlab

1 vue (au cours des 30 derniers jours)
fereshteh izadi
fereshteh izadi le 12 Fév 2016
hello,
I have a file like below named file.txt
> head(myfile,1:4])
AT1G01060 AT1G01170 AT1G01260 AT1G01380
AT1G01060 1.00000000 0.3885284 -0.14720327 -0.01865947
AT1G01170 0.38852841 1.0000000 -0.29069241 0.26992353
AT1G01260 -0.14720327 -0.2906924 1.00000000 0.30973373
AT1G01380 -0.01865947 0.2699235 0.30973373 1.00000000
AT1G01490 0.24681279 0.3955740 -0.07497821 0.23271890
AT1G01500 0.05720335 -0.1786700 -0.26813919 -0.60440141
> dim(myfile)
[1] 2885 2885
please someone help me to read this file in matlab I was really exhausted
thank you
  9 commentaires
fereshteh izadi
fereshteh izadi le 12 Fév 2016
Modifié(e) : fereshteh izadi le 12 Fév 2016
yes tRMA.txt is a transposed matrix of my expression data sets that by cor function I derived a correlation matrix with identical column and row headers as an input for ND.m matlab code but I can;t read my file sorry by " ND.m indicates that the numerical data shall be transferred to a double array", you mean ND.m needs a two dimential matrix without column or row name??? if so then after running the code on a numerical double array how i can assign column and row name to the output of ND.m????
per isakson
per isakson le 12 Fév 2016
Modifié(e) : per isakson le 13 Fév 2016
Yes, ND.m takes a square double array and no strings. Try the code in my answer. It should read files like tRMA.txt regardless of the number of columns and rows.

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Réponse acceptée

per isakson
per isakson le 12 Fév 2016
Modifié(e) : per isakson le 15 Fév 2016
  • I failed to read tRMA.txt with Import Data. It choked Matlab (R2013a)
  • The code below reads the file, tRMA.txt.
  • I was a little surprised to see that num isn't square.
fid = fopen('tRMA.txt');
str = fgetl( fid );
[~] = fclose( fid );
colhead = strsplit( str, '\t' );
ncolumn = length( colhead );
fid = fopen('tRMA.txt');
fmt = ['%s',repmat('%f',[1,ncolumn])];
cac = textscan( fid, fmt, 'Headerlines',1, 'Delimiter','\t', 'CollectOutput',true );
[~] = fclose( fid );
rowhead = cac{1,1};
num = cac{1,2};
whos colhead rowhead num
outputs
Name Size Bytes Class Attributes
colhead 1x2885 375050 cell
num 164x2885 3785120 double
rowhead 164x1 22632 cell
&nbsp
In responce to comments:
I have converted the script to a function, preND. Functions are easier to use than scripts. Run
>> [ M, colhead, rowhead ] = preND( 'correlation.txt' );
>> mat_nd = ND( M );
>> imagesc( mat_nd )
where
function [ M, colhead, rowhead ] = preND( filespec )
fid = fopen( filespec );
str = fgetl( fid );
[~] = fclose( fid );
colhead = strsplit( str, '\t' );
ncolumn = length( colhead );
fid = fopen( filespec );
fmt = ['%s',repmat('%f',[1,ncolumn])];
cac = textscan( fid, fmt, 'Headerlines',1 ...
, 'Delimiter','\t', 'CollectOutput',true );
[~] = fclose( fid );
rowhead = cac{1,1};
M = cac{1,2};
end
the result is
&nbsp
The names of the rows and the columns are in the cell arrays, rowhead and colhead.
  9 commentaires
per isakson
per isakson le 16 Fév 2016
Replace
colhead = strsplit( str, '\t' );
by
colhead = regexp( str, '\t', 'split' );
fereshteh izadi
fereshteh izadi le 16 Fév 2016
thank you very much, your code read correlation.txt well.

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Plus de réponses (2)

Walter Roberson
Walter Roberson le 12 Fév 2016
fid = fopen('tRMA.txt, 'rt');
%All columns are tab separated, but there is no initial tab before the first gene row
%header which corresponds to the second column of input for the rest of the file,
%with the first column of input being a row name string
header = fgetl(fid);
col_names = regexp(header, '\t\, 'split');
num_cols = length(col_names);
fmt = ['%s', repmat('\t%f', 1, num_cols)];
datacell = textscan(fid, fmt, 'CollectOutput', 1, 'Delimiter', '\t');
fclose(fid);
row_names = datacell{1};
cor = datacell{2};
Now there is row_names (a cell array of strings), col_names (a cell array of strings), and cor (a rectangular numeric matrix)

A Mugesh
A Mugesh le 24 Avr 2019
Hi,
I am a beginer in mat lab learning, i want to know the code how to read the different format of files in matlab....

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