status = [dosing, dosing, dosing, initializing, dosing, dosing, initializing];I wanted to plot graph like this:
MATLAB: I wanted to plot histogram for following
how to plot histogram??MATLAB
Related Solutions
In your code, dose_sc and dose_iv contain both all doses in your model.
You should specify the name of a SC or IV dose that is already contained in your model. The purpose of passing dose_sc and dose_iv to createDoses is mainly to specifiy the target name. So an alternative could be to create dose templates:
dose_iv = sbiodose('IV','TargetName','your_iv_target_species');dose_SC = sbiodose('SC','TargetName','your_sc_target_species');I would have the functions output numbers and no strings (which contain line returns), and then build a print function which is able to generate a table. The reason is that there is no easy way to put side by side strings when they don't all have the same width between all consecutive line returns.
If you don't want to update these functions so they output numbers or carefully trimmed arrays of characters (e.g. because you are not allowed bring modifications to their code), you can post-process the strings, e.g. by splitting them by line and adapting lengths or printing them using a padding.
To illustrate, imagine that we have 3 grabbed_values in a cell array (I generate a fake one):
print_state = 'Given values from data export\n\nStructure: PTV\n Mean Dose: %.1f\n Min Dose: %.1f\n Max Dose: %.1f\n Modal Dose: %.1f\n\nStructure: Rectum\n Mean Dose: %.1f\n Min Dose: %.1f\n Max Dose: %.1f\n Modal Dose: %.1f\n\nStructure: Bladder\n Mean Dose: %.1f\n Min Dose: %.1f\n Max Dose: %.1f\n Modal Dose: %.1f'; randValues = rand( 1, 12 ) ; for k = 1 : 3 values = num2cell( randValues + 10*(k-1) ) ; grabbed_values{k} = sprintf( print_state, values{:} ) ; endwhich gives:
>> grabbed_values grabbed_values = [1x282 char] [1x294 char] [1x294 char] >> grabbed_values{1} ans = Given values from data export Structure: PTV Mean Dose: 0.2 Min Dose: 0.1 Max Dose: 0.1 Modal Dose: 0.6 Structure: Rectum Mean Dose: 0.6 Min Dose: 0.4 Max Dose: 0.0 Modal Dose: 0.2 Structure: Bladder Mean Dose: 0.5 Min Dose: 0.8 Max Dose: 0.8 Modal Dose: 0.9 >> grabbed_values{2} ans = Given values from data export Structure: PTV Mean Dose: 10.2 Min Dose: 10.1 Max Dose: 10.1 Modal Dose: 10.6 Structure: Rectum Mean Dose: 10.6 Min Dose: 10.4 Max Dose: 10.0 Modal Dose: 10.2 Structure: Bladder Mean Dose: 10.5 Min Dose: 10.8 Max Dose: 10.8 Modal Dose: 10.9 >> grabbed_values{3} ans = Given values from data export Structure: PTV Mean Dose: 20.2 Min Dose: 20.1 Max Dose: 20.1 Modal Dose: 20.6 Structure: Rectum Mean Dose: 20.6 Min Dose: 20.4 Max Dose: 20.0 Modal Dose: 20.2 Structure: Bladder Mean Dose: 20.5 Min Dose: 20.8 Max Dose: 20.8 Modal Dose: 20.9We can do the following: first, we build a cell array of lines with one column per grabbed item:
nStr = numel( grabbed_values ) ; for strId = 1 : nStr lines = regexp( grabbed_values{strId}, sprintf('\n'), 'split' )' ; allGrabbed(1:numel(lines), strId) = lines ; endwhere we use REGEXP because STRSPLIT would treat '\n\n' as a single '\n'. This builds the following cell array:
>> allGrabbedallGrabbed =
'Given values from data export' 'Given values from data export' 'Given values from data export' '' '' '' 'Structure: PTV' 'Structure: PTV' 'Structure: PTV' ' Mean Dose: 0.8' ' Mean Dose: 10.8' ' Mean Dose: 20.8' ' Min Dose: 0.5' ' Min Dose: 10.5' ' Min Dose: 20.5' ' Max Dose: 0.3' ' Max Dose: 10.3' ' Max Dose: 20.3' ' Modal Dose: 0.1' ' Modal Dose: 10.1' ' Modal Dose: 20.1' '' '' '' 'Structure: Rectum' 'Structure: Rectum' 'Structure: Rectum' ' Mean Dose: 0.6' ' Mean Dose: 10.6' ' Mean Dose: 20.6' ' Min Dose: 0.2' ' Min Dose: 10.2' ' Min Dose: 20.2' ' Max Dose: 0.1' ' Max Dose: 10.1' ' Max Dose: 20.1' ' Modal Dose: 0.8' ' Modal Dose: 10.8' ' Modal Dose: 20.8' '' '' '' 'Structure: Bladder' 'Structure: Bladder' 'Structure: Bladder' ' Mean Dose: 0.5' ' Mean Dose: 10.5' ' Mean Dose: 20.5' ' Min Dose: 0.7' ' Min Dose: 10.7' ' Min Dose: 20.7' ' Max Dose: 0.1' ' Max Dose: 10.1' ' Max Dose: 20.1' ' Modal Dose: 0.4' ' Modal Dose: 10.4' ' Modal Dose: 20.4'Then we compute the max line length and we build a formatSpec with padding, leaving e.g. a 2 white spaces gap:
maxLength = max( max( cellfun( @length, allGrabbed ))) ; fSpec = [repmat( sprintf( '%%-%ds', maxLength+2 ), 1, nStr), '\n'] ;And finally we build the side by side string:
temp = allGrabbed' ; sideBySide = sprintf( fSpec, temp{:} ) ;and we get:
>> sideBySide sideBySide = Given values from data export Given values from data export Given values from data export Structure: PTV Structure: PTV Structure: PTV Mean Dose: 0.8 Mean Dose: 10.8 Mean Dose: 20.8 Min Dose: 0.5 Min Dose: 10.5 Min Dose: 20.5 Max Dose: 0.3 Max Dose: 10.3 Max Dose: 20.3 Modal Dose: 0.1 Modal Dose: 10.1 Modal Dose: 20.1 Structure: Rectum Structure: Rectum Structure: Rectum Mean Dose: 0.6 Mean Dose: 10.6 Mean Dose: 20.6 Min Dose: 0.2 Min Dose: 10.2 Min Dose: 20.2 Max Dose: 0.1 Max Dose: 10.1 Max Dose: 20.1 Modal Dose: 0.8 Modal Dose: 10.8 Modal Dose: 20.8 Structure: Bladder Structure: Bladder Structure: Bladder Mean Dose: 0.5 Mean Dose: 10.5 Mean Dose: 20.5 Min Dose: 0.7 Min Dose: 10.7 Min Dose: 20.7 Max Dose: 0.1 Max Dose: 10.1 Max Dose: 20.1 Modal Dose: 0.4 Modal Dose: 10.4 Modal Dose: 20.4All this looks huge, but it is just a few lines (that I shortened a bit by swapping dimensions when we build allGrabbed), assuming that you have a cell array grabbed_values of strings to put side by side:
nStr = numel( grabbed_values ) ; for strId = 1 : nStr lines = regexp( grabbed_values{strId}, sprintf('\n'), 'split' ) ; allGrabbed(strId, 1:numel(lines)) = lines ; end maxLength = max( max( cellfun( @length, allGrabbed ))) ; fSpec = [repmat( sprintf( '%%-%ds', maxLength+2 ), 1, nStr), '\n'] ; sideBySide = sprintf( fSpec, allGrabbed{:} ) ;An alternative is probably to build a MATLAB table after the split, but I have little experience with printing tables.
Best Answer