I'm using some codes that called specific function.
in line 17 of this function I get the error
Index exceeds matrix dimensions.
Error in generateExpReport (line 17)
checkPValuesField = subjFiles(1).name;
the function up to line 20 is like this:
function [] = generateExpReport(copyDir,resultDir,params)
% Syntax
methodNames = fieldnames(params.methods);
numMethods = length(methodNames);
for i = 1 : numMethods
cd(resultDir)
numTargets = length(params.methods.(methodNames{i,1}).idTargets);
idDrivers = params.methods.(methodNames{i,1}).idDrivers;
nameFiles = [methodNames{i,1} '*.mat'];
subjFiles = dir(nameFiles);
numSubj = length(subjFiles);
significanceOnDrivers = zeros(numSubj,numTargets);
matrixTransferEntropy = zeros(numSubj,(numTargets)+1);
% check if the pValues matrix is present
checkPValuesField = load(subjFiles(1).name);
fields = fieldnames(checkPValuesField);
nameFields = checkPValuesField.(fields{1,1});
I can't find the problem
please help me:(( what's wrong with
checkPValuesField = load(subjFiles(1).name);
Related
I'm dealing with a problem with the update function in Matlab.
conn=database('MySQL','user','password');)
selectquery_select = 'SELECT * FROM inputs WHERE i_read = 0';
data_select = select(conn,selectquery_select);
for j=1:size(data_select)
id_data = data_select(j,1);
id_data = string(id_data.(1));
time_data = data_select(j,4);
time_data = string(time_data.(1));
time_dataform = datetime(time_data,'InputFormat','yyyy-MM-dd HH:mm:ss');
y0=data_select(j,2);
y0 = str2num(string(y0.(1)));
r0=data_select(j,3);
r0 = str2num(string(r0.(1)));
if id_data == "115"
run("C:\Users\...\uu.m")
update(conn,'inputs','i_read',1,'WHERE (ID_code = "115") AND WHERE (i_Time = time_data)');
end
end
Basically, I'm taking some value from the database when i_read is equal to 0 (i_read is a boolean variable in the database that should give 1 if the value is already processed and 0 if not). After a value is read, we want to change the i_read in the database from 0 to 1. We decide to use the update function, but this gave us the following error:
Error using database.odbc.connection/update
Too many input arguments.
Error in Patient_Identification (line 57)
update(conn,'inputs','i_read',1,'WHERE (ID_code = "112") AND WHERE (i_Time = ', time_data,')');
Someone is able to help us with this problem? Thank you.
I have a structure array with a large number of fields that I don't care about, so I want to extract the limited number of fields I DO care about and put it into a separate structure array.
For a structure array of size one, I've done this by creating the new array from scratch, for example:
structOld.a = 1;
structOld.b = 2;
structOld.usefulA = 'useful information';
structOld.usefulB = 'more useful information';
structOld.c = 3;
structOld.d = 'words';
keepFields = {'usefulA','usefulB'};
structNew = struct;
for fn = keepFields
structNew.(fn{:}) = structOld.(fn{:});
end
which gives
structNew =
usefulA: 'useful information'
usefulB: 'more useful information'
Is there a more efficient way of doing this? How can I scale up to an structure array (vector) of size N?
N = 50;
structOld(1).a = 1;
structOld(1).b = 2;
structOld(1).usefulA = 500;
structOld(1).usefulB = 'us';
structOld(1).c = 3;
structOld(1).d = 'ef';
structOld(2).a = 4;
structOld(2).b = 5;
structOld(2).usefulA = 501;
structOld(2).usefulB = 'ul';
structOld(2).c = 6;
structOld(2).d = 'in';
structOld(3).a = 7;
structOld(3).b = '8';
structOld(3).usefulA = 504;
structOld(3).usefulB = 'fo';
structOld(3).c = 9;
structOld(3).d = 'rm';
structOld(N).a = 10;
structOld(N).b = 11;
structOld(N).usefulA = 506;
structOld(N).usefulB = 'at';
structOld(N).c = 12;
structOld(N).d = 'ion';
In this case, I'd like to end up with:
structNew =
1x50 struct array with fields:
usefulA
usefulB
Keeping elements with empty usefulA/usefulB fields is fine; I can get rid of them later if needed.
Using rmfield isn't great because the number of useless fields far outnumbers the useful fields.
You can create a new struct array using existing data as follows:
structNew = struct('usefulA',{structOld.usefulA},'usefulB',{structOld.usefulB});
If you have an arbitrary set of field names that you want to preserve, you could use a loop as follows. Here, I'm first extracting the data from strcutOld into a cell array data, which contains each of the arguments the the struct call in the previous line of code. data{:} is now a comma-separated list of these arguments, the last line of code below is identical to the line above.
keepFields = {'usefulA','usefulB'};
data = cell(2,numel(keepFields));
for ii=1:numel(keepFields)
data{1,ii} = keepFields{ii};
data{2,ii} = {structOld.(keepFields{ii})};
end
structNew = struct(data{:});
I have a Matlab function. I need to generalize this function. This code’s aim is to check this IndicMPs are in the TableTemp, if it is there, then we extract relevant age limits, such as: Age_Limite_DC, Age_Limite_IT, Age_Limite_Ch and Transfert_Prime_IT_DC. My idea is to generalize, passing parameters to find out the "Type_pret" is.(May be I'm wrong) Since I'm beginner to Matlab can someone help me to encode a more generic function that can be used in a more general context?
function Structure = optimisation_function()
Data = load('Data.mat');
Structure = Data.Structure;
TableTemp = Data.TableTemp;
Age_Limite_DC = zeros(size(Structure,1),1);
Age_Limite_IT = zeros(size(Structure,1),1);
Age_Limite_CH = zeros(size(Structure,1),1);
Transfert_Prime_IT_DC = zeros(size(Structure,1),1);
for IndexMPAL = 1 : length(Structure.AnneeSouscription)
% Determine Type_Pret (Loan Type)
if ~isempty(strfind(Structure.Type_Pret{IndexMPAL},'A'))
Type_Pret = 'A';
elseif ~isempty(strfind(Structure.Type_Pret{IndexMPAL},'B'))
Type_Pret = 'B';
elseif ~isempty(strfind(Structure.Type_Pret{IndexMPAL},'C'))
Type_Pret = 'C';
elseif ~isempty(strfind(Structure.Type_Pret{IndexMPAL},'D'))
Type_Pret = 'D';
elseif ~isempty(strfind(Structure.Type_Pret{IndexMPAL},'E'))
Type_Pret = 'E';
end
MP_CP = Structure.NomCodeProduit(IndexMPAL);
MP_AnSous = Structure.AnneeSouscription(IndexMPAL);
MP_TypePret = Type_Pret;
IndicCP = strcmp(MP_CP, TableTemp.CodeProduit);
IndicAS = MP_AnSous== TableTemp.AnneeSouscription;
IndicTP = strcmp(MP_TypePret, TableTemp.TypePret);
IndicMP = IndicCP & IndicAS & IndicTP;
if ~any(IndicMP)
Msg = strcat('CodeProduct:',MP_CP{1}, ', Année Souscription:', num2str(MP_AnSous), ', Type Prêt:', MP_TypePret);
error('Error', Msg)
else
Age_Limite_DC(IndexMPAL,1) = TableTemp.Age_Limite_DC(IndicMP,1);
Age_Limite_IT(IndexMPAL,1) = TableTemp.Age_Limite_IT(IndicMP,1);
Age_Limite_CH(IndexMPAL,1) = TableTemp.Age_Limite_CH(IndicMP,1);
Transfert_Prime_IT_DC(IndexMPAL,1)=
TableTemp.Transfert_Prime_IT_DC(IndicMP,1);
end
end
Structure.Age_Limite_DC = Age_Limite_DC;
Structure.Age_Limite_IT = Age_Limite_IT;
Structure.Age_Limite_CH = Age_Limite_CH;
Structure.Transfert_Prime_IT_DC = Transfert_Prime_IT_DC;
end
The if/elseif can be simplified with a cell array:
liststr = {'A','BB','C','D','E'}; % builds a cell array, each cell contains a string
Positive_matches = strfind(liststr,Structure.Type_Pret{IndexMPAL}) % returns a list for each cell of the indices where the element was found (empty if none)
Index = find(~cellfun('isempty', Positive_matches )) % converts the previous list into a logical 0/1 array indicating whether an item was found (1) or not (0)
% if isempty(Index); continue; end % If no index is found, to avoid an error in the next instruction, skips the rest of the code.
Type_Pret = liststr(Index(1));
If the Type_Pret are the same in your list and in Structure? , you can usestrcmp`:
liststr = {'A','B','C','D','E'};
if any(strcmp(Structure.Type_Pret,liststr))
Type_Pret = Structure.Type_Pret
else
% handle error
end
You can also work directly on Structure.Age_Limite_DC without using Age_Limite_DC.
function []= read_c3d_feat(output_list_relative)
dir_list = importdata(output_list_relative);
dim_feat = 512;
for i = 1 : size(dir_list, 1)
dir_str = char(dir_list(i));
feat_files = dir([dir_str, '/*.res5b']);
num_feat = length(feat_files);
feat = zeros(num_feat, dim_feat);
for j = 1 : num_feat
feat_path = strcat(dir_str, '/', feat_files(j).name);
...............
....................so on
Give me error like
Error using dir
Invalid path. The path must not contain a null character.
Error in read_c3d_feat (line 12)
feat_files = dir([dir_str, '/*.res5b']);
Your dir_list variable must have strings which contain null characters, as the error tells you. If you try using hard-coded strings you will see it works:
function read_c3d_feat(output_list_relative)
dir_list = {'21';'45';'18'};
for i = 1:size(dir_list, 1)
dir_str = dir_list{i}; % Loops through '21','45','18'
% The dir function now works because we know dir_str is a valid string
feat_files = dir([dir_str, '/*.res5b']);
end
end
This means you need to debug your code and find out what this line is actually assigning to dir_list:
dir_list = importdata(output_list_relative);
Note that if dir_list is a cell of text entries, you should be indexing it with curly braces as above. If instead it is a matrix (because all of the entries seem to be numerical anyway) then you should be using num2str when passing to dir:
function read_c3d_feat(output_list_relative)
dir_list = importdata(output_list_relative);
dim_feat = 512;
for i = 1:size(dir_list, 1)
feat_files = dir([num2str(dir_list(i)), '/*.res5b']);
% ...
How could I construct automatically a dataset like the one below, assuming that the number of columns of matrix summary_whts is approx. 400???
lrwghts = dataset(...
{summary_whts(:,01),'w00'},...
{summary_whts(:,02),'w01'},...
{summary_whts(:,03),'w02'},...
{summary_whts(:,04),'w03'},...
{summary_whts(:,05),'w04'},...
{summary_whts(:,06),'w05'},...
{summary_whts(:,07),'w06'},...
{summary_whts(:,08),'w07'},...
{summary_whts(:,09),'w08'},...
{summary_whts(:,10),'w09'},...
{summary_whts(:,11),'w10'},...
{summary_whts(:,12),'w11'},...
'ObsNames',summary_mthd);
Why not use a simple loop to populate dataset?
nCols = size(summary_whts,1);
dataset = cell(nCols, 2);
for i = 1:nCols
dataset{i,1} = summary_whts(:,i);
dataset{i,2} = sprintf('w%04d', i);
end
dataset{end+1,1} = 'ObsNames';
dataset(end, 2} = summary_mthd;
At last, I found it! This is what I was looking for:
cat = [];
for i = 0:(size(X,2)),
cat = [cat;sprintf('w%03d',i)];
end
cat = cellstr(cat);
lrwghts = dataset({summary_whts,cat{:}},'ObsNames',cellstr(summary_mthd));