I know how to 'select' a range in LO (7.2.4.1) Calc BASIC ....
ThisComponent.CurrentController.ActiveSheet.getCellRangeByName("D1:H6")
But how to write a value, e.g. "1", into that range using BASIC?
myRange = ThisComponent.CurrentController.ActiveSheet.getCellRangeByName("D1:H6")
myRange.Value = 1
Gives an "property or method not found" error. But I can't find any properties or values to go after Range to allow me to do what I want. Flailing around and trying
myRange.setValue = 1
myRange.writeValue = 1
myRange.setString = "1"
and numerous other variants don't work either.
Would really appreciate the solution. Thanks.
You can edit the value of an individual cell, but not the entire range. You will have to iterate over all the cells in the range one at a time, changing the value of each of them.
Sub Set1ToD1H6
myRange = ThisComponent.CurrentController.ActiveSheet.getCellRangeByName("D1:H6")
For i = 0 To myRange.getRows().getCount()-1
For j = 0 To myRange.getColumns().getCount()-1
myRange.getCellByPosition(j, i).setValue(1)
Next j
Next i
End Sub
But since the read-write operation to a cell is comparable in time to the read-write operation to a whole range, it is preferable to use another method - to prepare data in an array and write from it to a range in one operation:
Sub Set1ToRange
myRange = ThisComponent.CurrentController.ActiveSheet.getCellRangeByName("D1:H6")
dataOfRange = myRange.getData()
For i = LBound(dataOfRange) To UBound(dataOfRange)
For j = LBound(dataOfRange(i)) To UBound(dataOfRange(i))
dataOfRange(i)(j) = 1
Next j
Next i
myRange.setData(dataOfRange)
End Sub
(For your example, this will be approximately 30 times faster, for a larger range the time winnings will be even more significant)
The .getData() and .setData() methods work on numeric range values. To work with text strings (and numbers), use .getDataArray() and .setDataArray(), for working with cell formulas use .getFormulaArray() and .setFormulaArray()
I have created a structure about patient. Its fields are name, age, etc. I want to be able to retrieve a patient's all info by entering its name or any other unique property. In other words, how can I find the patient's index? Thanks in advance.
patient(10).name = 'Chuck';
patient(10).age = 29;
patient(11).name = 'Sarah';
patient(11).name = 28;
Structures are not a good data type for doing what you want.
I suggest using a table. If you have your data in the structure already, call
patientTable = struct2table(patient);
Then, you get the index as:
chucksIndex = find( strcmp( patientTable.name, 'Chuck'))
And you get that patient's information as
patientTable(chucksIndex,:)
(note: if all you need the index for is lookup, you don't need to call find, the logical index from strcmp suffices).
Double-clicking the table in the workspace browser presents the data in an Excel-like fashion. The only thing you'll have to change in your code is accessing the data. Instead of
patient(10).name
patient(10).age
You write
patientTable.name{10}
patientTable.age(10)
If you do not want to use a table, you can get the index as:
chucksIndex = find(strcmp({patient.name},'Chuck'));
First, there is an error, it should be patient(11).name = 28;.
Here is a way this should work. I've started the indexes for Chuck and Sarah at 1.
patient(1).name = 'Chuck';
patient(1).age = 29;
patient(2).name = 'Sarah';
patient(2).age = 28;
% Assign to cell array
plist = {patient.name};
% Choose the name of a patient
choose_patient = 'Sarah';
% Find the chosen patient in the list
ix_patient = find(strcmp(plist, choose_patient))
% Get full entry for that patient
patient(ix_patient)
I have data stored in variable data.
data =
[43.98272955 39.55809471;
-49.51656799 28.57164726;
-9.475861028 -44.31264255;
27.14884251 2.603921223;
-2.914496888 7.864022006;
4.093025860 4.816211687;
-12.11007479 5.797539648;
-1.653535904 -12.49864642;
5.978990391 1.229984916;
0.9837133282 -2.001124423;
5.674977844 6.323209942;
-9.574459589 3.696791663;
0.3410452503 -7.338955191]
but need use only data corresponding to multiple numbers of x.
Example:
if x = 3,
want store only multiple rows of 3, so
newdata = [-9.475861028 -44.31264255;
4.093025860 4.816211687;
5.978990391 1.229984916;
-9.574459589 3.696791663]
how do I do that?
P.S I would use the command textscan.
this is straightforward with indexing:
newData = data(3:3:end,:)
If I understood the question correctly:
data(x:x:length(data),:)
You could just do just scan it row by row using the mod (modulo) function to extract rows corresponding to the desired multiples. For example:
x=3;
newdata=[];
for k=1:size(data,1)
if mod(k,x)==0
newdata=[newdata; data(k,:)];
end
end
We've got an array of values, and we would like to create another array whose values are not in the first one.
Example:
load('internet.mat')
The first column contains the values in MBs, we have thought in something like:
MB_no = setdiff(v, internet(:,1))
where v is a 0 vector whose length equals to the number of rows in internet.mat. But it just doesn't work.
So, how do we do this?
You need to specify the range of possible values to define what values are not in internet . Say the range is v = 1:10 then setdiff(v,internet(:,1)) will give you the values in 1:10 that are not in the first column of internet.
It seems as if you don't want the first column.
You can simply do:
MB_no=internet(:,2:end);
assuming internet(:,1) has only positive integers and you wish to find which are the integers in [1,...,max( internet(:,1) )] that do not appear in that range you can simply do
app = [];
app( internet(:,1) ) = 1;
MB_no = find( app == 0 );
This is somewhat like bucket sort.
The following example resembles a similar problem that I'm dealing with, although the code below is merely an example, it is structured in the same format as my actual data set.
clear all
England = struct('AirT',rand(320,1),'SolRad',rand(320,1),'Rain',rand(320,1));
Wales = struct('AirT',rand(320,1),'SolRad',rand(320,1),'Rain',rand(320,1));
Ireland = struct('AirT',rand(320,1),'SolRad',rand(320,1),'Rain',rand(320,1));
Scotland = struct('AirT',rand(320,1),'SolRad',rand(320,1),'Rain',rand(320,1));
Location = struct('England',England,'Wales', Wales, 'Ireland',Ireland,'Scotland',Scotland);
FieldName={'England','Wales','Scotland','Ireland'};
Data = {England.AirT,Wales.AirT,Scotland.AirT,Ireland.AirT};
Data = [FieldName;Data];
Data = struct(Data{:});
Data = cell2mat(struct2cell(Data)');
[R,P] = corrcoef(Data,'rows','pairwise');
R_Value= [FieldName(nchoosek(1:size(R,1),2)) num2cell(nonzeros(tril(R,-1)))];
So, this script would show the correlation between pairs of Air Temperature of 4 locations. I'm looking for a way of also looking at the correlation between 'SolRad' and 'Rain' between the locations (same process as for AirT) or any variables denoted in the structure. I could do this by replacing the inputs into 'Data' but this seems rather long winded especially when involving many different variables. Any ideas on how to do this? I've tried using a loop but it seems harder than I though to try and get the data into the same format as the example.
Let's see if this helps, or is what you are thinking:
clear all
England = struct('AirT',rand(320,1),'SolRad',rand(320,1),'Rain',rand(320,1));
Wales = struct('AirT',rand(320,1),'SolRad',rand(320,1),'Rain',rand(320,1));
Ireland = struct('AirT',rand(320,1),'SolRad',rand(320,1),'Rain',rand(320,1));
Scotland = struct('AirT',rand(320,1),'SolRad',rand(320,1),'Rain',rand(320,1));
Location = struct('England',England,'Wales', Wales, 'Ireland',Ireland,'Scotland',Scotland);
% get all the location fields
FieldName = transpose(fieldnames(Location));
% get the variables recorded at the first location
CorrData = fieldnames(Location.(FieldName{1}));
% get variables which were stored at all locations(just to be safe,
% we know that they are all the same)
for ii=2:length(FieldName)
CorrData = intersect(CorrData,fieldnames(Location.(FieldName{ii})));
end
% process each variable that was recorded
for ii=1:length(CorrData)
Data = cell(1,length(FieldName));
% get the variable data from each location and store in Data
for jj=1:length(FieldName)
Data{jj} = Location.(FieldName{jj}).(CorrData{ii});
end
% process the data
Data = [FieldName;Data];
Data = struct(Data{:});
Data = cell2mat(struct2cell(Data)');
[R,P] = corrcoef(Data,'rows','pairwise');
R_Value= [FieldName(nchoosek(1:size(R,1),2)) num2cell(nonzeros(tril(R,-1)))];
% display the data, sounds good right?
fprintf(1,'Correlation for %s\n',CorrData{ii});
for jj=1:size(R_Value,1)
fprintf(1,'%s\t%s\t%f\n',R_Value{jj,1},R_Value{jj,2},R_Value{jj,3});
end
end
Let me know if I misunderstood, or if this is more involved than what you were thinking. Thanks!
fieldnames(s) and dynamic field references are your friend.
What I would suggest is to make one structure in which 'name' is a field, and the other fields are whatever you'd like. Regardless of how you set up your structure s, you can use fn = fieldnames(s); to return a cell array of the fields. You can access the contents of your structure using these names by using parentheses around the variable containing the name.
fn = fieldnames(s);
for i=1:length(fn)
disp([fn{i} ':' s.(fn{i})]
end
Whatever you do with the values is up to you, of course!