Thanks for the help. I am working through the write.csv command and the
using Google Refine to clean it up into a table.

Great Program:

http://code.google.com/p/google-refine/wiki/GettingStarted

<http://code.google.com/p/google-refine/wiki/GettingStarted>Ill look into
the XML parser that may be easier.

On Sun, Jan 30, 2011 at 4:42 PM, Michael Hahsler <michael@hahsler.net>wrote:

> Hi John,
>
> You can use WRITE (see ? WRITE) to save rules to a file in the
> from:
>
> {a,b,c} => {d} 0.1 0.3 2.2
>
> where the numbers after the rule are support, confidence and lift.
> There is no csv export since the number of items in the rules varies and
> the data structure can not be converted into a simple table.
>
> Alternatively you can export the rules using PMML (XML) and use a XML
> parser to get the rules.
>
> Best,
> Michael
>
>
> On 01/-10/-28163 01:59 PM, johnistan wrote:
>
>>
>> I am new to R( but quickly being awed by the range of this it can
>> accomplish,
>> you have one more convert to the useR universe). I have successfully
>> implemented the apriori function and are getting great results. My
>> question
>> concerns how to export these results. I have read lots about write.csv
>> functions and exporting data frames and other standard objects. Im having
>> difficulty working with these S4 objects. My object looks as follows.
>>
>>
>>  str(rules)
>>>
>> Formal class 'rules' [package "arules"] with 4 slots
>>   ..@ lhs    :Formal class 'itemMatrix' [package "arules"] with 3 slots
>>   .. .. ..@ data       :Formal class 'ngCMatrix' [package "Matrix"] with 5
>> slots
>>   .. .. .. .. ..@ i       : int [1:2133] 3907 3519 4172 3519 4182 3519
>> 4172
>> 4182 4172 4182 ...
>>   .. .. .. .. ..@ p       : int [1:790] 0 0 1 2 3 4 5 6 7 8 ...
>>   .. .. .. .. ..@ Dim     : int [1:2] 7002 789
>>   .. .. .. .. ..@ Dimnames:List of 2
>>   .. .. .. .. .. ..$ : NULL
>>   .. .. .. .. .. ..$ : NULL
>>   .. .. .. .. ..@ factors : list()
>>   .. .. ..@ itemInfo   :'data.frame':   7002 obs. of  1 variable:
>>   .. .. .. ..$ labels:Class 'AsIs'  chr [1:7002] "0171T_722.52"
>> "0171T_724.02" "0172T_724.02" "0197T_185" ...
>>   .. .. ..@ itemsetInfo:'data.frame':   0 obs. of  0 variables
>>   ..@ rhs    :Formal class 'itemMatrix' [package "arules"] with 3 slots
>>   .. .. ..@ data       :Formal class 'ngCMatrix' [package "Matrix"] with 5
>> slots
>>   .. .. .. .. ..@ i       : int [1:789] 4120 3704 4172 3519 4182 3519 4120
>> 4182 4172 4120 ...
>>   .. .. .. .. ..@ p       : int [1:790] 0 1 2 3 4 5 6 7 8 9 ...
>>   .. .. .. .. ..@ Dim     : int [1:2] 7002 789
>>   .. .. .. .. ..@ Dimnames:List of 2
>>   .. .. .. .. .. ..$ : NULL
>>   .. .. .. .. .. ..$ : NULL
>>   .. .. .. .. ..@ factors : list()
>>   .. .. ..@ itemInfo   :'data.frame':   7002 obs. of  1 variable:
>>   .. .. .. ..$ labels:Class 'AsIs'  chr [1:7002] "0171T_722.52"
>> "0171T_724.02" "0172T_724.02" "0197T_185" ...
>>   .. .. ..@ itemsetInfo:'data.frame':   0 obs. of  0 variables
>>   ..@ quality:'data.frame':     789 obs. of  3 variables:
>>   .. ..$ support   : num [1:789] 0.8258 0.0103 0.0102 0.0102 0.0102 ...
>>   .. ..$ confidence: num [1:789] 0.826 1 0.987 0.925 0.987 ...
>>   .. ..$ lift      : num [1:789] 1 50.8 89.6 89.6 89.6 ...
>>   ..@ info   :List of 4
>>   .. ..$ data         : symbol lij_trans
>>   .. ..$ ntransactions: int 7266
>>   .. ..$ support      : num 0.01
>>   .. ..$ confidence   : num 0.7
>>
>> and sample inspect statement:
>>
>> 95  {93510_411.1,
>>      93556_411.1}  =>  {93010_414.9}  0.01279934  1.0000000  1.21100
>> 96  {93010_414.9,
>>      93510_411.1}  =>  {93556_411.1}  0.01279934  0.9687500 69.00919
>> 97  {93010_414.9,
>>      93556_411.1}  =>  {93510_411.1}  0.01279934  0.9117647 69.00919
>> 98  {93543_413.9,
>>      93555_413.9}  =>  {93556_413.9}  0.01541426  1.0000000 60.55000
>> 99  {93543_413.9,
>>      93556_413.9}  =>  {93555_413.9}  0.01541426  1.0000000 64.87500
>> 100 {93555_413.9,
>>      93556_413.9}  =>  {93543_413.9}  0.01541426  1.0000000 64.87500
>> 101 {93543_413.9,
>>      93555_413.9}  =>  {93545_413.9}  0.01541426  1.0000000 60.04959
>>
>>
>>
>> What is am most interested in is exporting to a csv or some form of table.
>> Where the 1,2 or n transactions on the left are listed in c(1,2,...n) and
>> the dependent data point is in c(4 or n+1)(I have limited the max number
>> to
>> three) and the support/conf/lift is the next tree columns.
>>
>> something like:
>>
>>  93543_413.9 | 93555_413.9 | 93545_413.9 |  0.01541426 |  1.0000000 |
>> 60.04959
>>
>> I have searched around but haven't found anything. Can someone help or
>> supply some more promising search terms to direct my dive into
>> documentation.
>>
>>
>> Thanks,
>>
>> John
>>
>>
>>
>>
>>
>>
>>
>>
>>
> --
>  Michael Hahsler
>  email: michael@hahsler.net
>  web: http://michael.hahsler.net
>

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