selecting specifi sequence of cells from a matrix

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ektor
ektor on 13 May 2012
Hi, I have the price of one good (chocolate) that varies within one country (Greece) across time by store type, location, brand, pack size and whole market.
Using the following set of commands
%country
country=repmat({'Greece'}, [10,1]);
%product
prod=repmat({'chocolate'}, [10,1]);
%whole market
totalall1=repmat({'TTT'}, [5,1]);
totalall2=repmat({0}, [5,1]);
Totall=[ totalall1; totalall2];
%storetype
storetype1=repmat({'ST1'}, [2,1]) ;
storetype2=repmat({'ST2'}, [2,1]) ;
storetype3=repmat({'ST3'}, [2,1]) ;
storetype4=repmat({'ST4'}, [4,1]) ;
storetype=[storetype1; storetype2;storetype3;storetype4];
%location
location1=repmat({'l1'}, [3,1]) ;
location2=repmat({'l2'}, [3,1]) ;
location3=repmat({'l3'}, [4,1]) ;
location=[ location1; location2;location3];
%brand and pack size
bsk1=[repmat({'b1' }, [4,1]) repmat({'ps0' }, [4,1])];
bsk2=[repmat({'b2' }, [4,1]) repmat({'ps1' }, [4,1])];
bsk3=[repmat({'b2' }, [2,1]) repmat({'ps2' }, [2,1])];
bb=[bsk1;bsk2;bsk3];
myvarname = 'four_week';
eval([sprintf(myvarname) '=[021108 301108 281208 250109 220209 220309 190409 170509 140609 120709]']);
datemonthyear=four_week';
price=[1.4; 2;1.3;2.1;4.5;3;1.1;2.4;4;1];
mdata1 =[ country,prod, Totall, storetype, location, bb, num2cell(datemonthyear) num2cell(price) ];
I create this output
mdata1 =
Columns 1 through 6
'Greece' 'chocolate' 'TTT' 'ST1' 'l1' 'b1'
'Greece' 'chocolate' 'TTT' 'ST1' 'l1' 'b1'
'Greece' 'chocolate' 'TTT' 'ST2' 'l1' 'b1'
'Greece' 'chocolate' 'TTT' 'ST2' 'l2' 'b1'
'Greece' 'chocolate' 'TTT' 'ST3' 'l2' 'b2'
'Greece' 'chocolate' [ 0] 'ST3' 'l2' 'b2'
'Greece' 'chocolate' [ 0] 'ST4' 'l3' 'b2'
'Greece' 'chocolate' [ 0] 'ST4' 'l3' 'b2'
'Greece' 'chocolate' [ 0] 'ST4' 'l3' 'b2'
'Greece' 'chocolate' [ 0] 'ST4' 'l3' 'b2'
Columns 7 through 9
'ps0' [ 21108] [1.4000]
'ps0' [301108] [ 2]
'ps0' [281208] [1.3000]
'ps0' [250109] [2.1000]
'ps1' [220209] [4.5000]
'ps1' [220309] [ 3]
'ps1' [190409] [1.1000]
'ps1' [170509] [2.4000]
'ps2' [140609] [ 4]
'ps2' [120709] [ 1]
My question is the following. I want to develop a simple code that will enable me to find, for example, what the price of chocolate is in Greece when the product type is b1, location is l2, pack size is ps0, store type is st1 for the whole country (TTT). SO, I would like to get immediately the price that corresponds to a specific combination of store type, location, brand, pack size and whole market.
Thank you in advance, Stef

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Accepted Answer

Oleg Komarov
Oleg Komarov on 13 May 2012
You might want to consider a relational database management system (RDBMS) such as mySQL. There is a little bit of learning curve but these type of operations are way more intuitive and easy to accomplish than with MATLAB.
Otherwise, what you have to do is:
idx = strcmp(mdata1(:,4),'st1') & strcmp(mdata1(:,6),'b1') & ...
mdata1{idx,end}
  1 Comment
ektor
ektor on 14 May 2012
Thank oleg so much. it worked!
I was trying to save the output of mdata1{idx,end} into excel but so far I cant. Any suggestions?
Thank you again!
Stef

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More Answers (3)

ektor
ektor on 14 May 2012
It worked. THank you
ektor
ektor on 14 May 2012
Thank oleg so much. it worked! I was trying to save the output of mdata1{idx,end} into excel but so far I cant. Any suggestions?
Thank you again! Stef
ektor
ektor on 14 May 2012
Specifically, I want to save the output of mdata1{idx,end} into excel as well as the corresponding identifiers (that is the columns of store type, location, brand, pack size and whole market that correspond to the output of mdata1{idx,end})

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