[R] Save rules with asRules() from Rattle into dataframe
Hello, I use asRules from the Rattle package to make rules of a rpart decision tree: asRules(rpart1). It gives a rule such as (don't mind the data, it's merely testdata): Rule number: 18 [Product=153 cover=3 (1%) prob=0.00] TotalChildren=4.5 Education=Bachelors,Partial College,Partial High School Gender=F Occupation=Skilled Manual Then I want to save it so I use: rules -asRules(rpart1) but it saves it as an integer. When I view rules I only see one column of integers. Not the data like the example above. Preferably I would like to have that data in a dataframe. The reproducible example can be found here: www.mediafire.com/download/8qqzq3qqu2mlmb1/decision+tree+rules+example.RData The rpart tree is made with this: rpart1 - rpart(Product ~ ., data=subset5, method=class, control=rpart.control(minbucket=2,minsplit=1, cp=-1)) Hope someone can help me out. Thanks! __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] How to read this Rpart decision tree?
Hi all, In the attachment or this link (http://oi58.tinypic.com/35ic9qc.jpg) you'll find the decision tree I made. I used the Rpart package to make the tree and the rattle package using the fancyRpartPlot to plot it. The data in the tree looks different than about every example I have seen before. I don't understand how I should read it. I want to predict Product (which are productkeys). The variables to predict it contain age, incomegroup, gender, totalchildren, education, occupation, houseownerflag, numberCars.It looks like the upper number is a ProductKey. The n is number of observations? And the percentage of the yes/no question below. This is the code I used. ss.rpart1 - rpart(Product ~ ., data=sstrain, control=rpart.control(minbucket=2,minsplit=1, cp=-1)) spt - which.min(ss.rpart1$cptable[, xerror]) scp - ss.rpart1$cptable[opt, CP] ss.rpart2 - prune(ss.rpart1, cp=cp) fancyRpartPlot(ss.rpart2) So why does the tree looks so different from the most (for example: http://media.tumblr.com/a9f482ff88b0b9cfaffca7ffd46c6a8e/tumblr_inline_mz7pyuaYJQ1s5wtly.png). This is from Trevor Stephen's TItanic tutorial. The first node show that 62% of 100% doesn't survive. If they were male, only 19% of them were survivors. I find that a lot examples look like that. Why does mine predict per ProductKey and every node it has something else. it doesn't make sense to me. And it doesn't have the two numbers like .62 and .38 but it has n=197e+3. So should I read the first node like For 100% of the observations of ProductKey 1074, the incomegroup was moderate)? Thank you! Kim __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] xerror and xstd are missing from cptable of the Rpart package
Hello all, I'm making a decision tree with the rpart package. I want to prune the tree and in many tutorials it says to use cptable. Like so: opt - which.min(model_rpart$cptable[, xerror]) The problem is that when I look up model_rpart$cptable it only show the columns CP, nsplit, rel error. So xerror and xstd are missing. How can this be? Model looks like this: model - rpart(Product~. , data=trainData, control=rpart.control(minsplit=50, cp=0.002, xval=0)) Thank you. Kim [[alternative HTML version deleted]] __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] Decision trees take long or throws memory limit message
Hi everyone, I try making decision trees and random forest using the packages rpart and party. I'm already stuck at t he first step. Each time when I enter the code either 1. R takes more than an hour. I haven't waited long enough to see if there's a result but it doesn't look like it! When I hit the stop button it also freezes and I need to force quit R. This happens with rpart(). 2. Or I get the message : Error: cannot allocate vector of size 5.0 GbIn addition: Warning messages:1: In cbind(RET, tr[[i]]) : Reached total allocation of 16287Mb: see help(memory.size)2: In cbind(RET, tr[[i]]) : Reached total allocation of 16287Mb: see help(memory.size)3: In cbind(RET, tr[[i]]) : Reached total allocation of 16287Mb: see help(memory.size)4: In cbind(RET, tr[[i]]) : Reached total allocation of 16287Mb: see help(memory.size) When I look at Windows task manager it goes from in use: 4GB to use in use: 14.5 GB causing it to have no memory left (15.9 GB is the limit on my computer). The trainset is big (almost 9 million records and 13 variables). I already increased the memory.limit() but it didn't work. This happens with ctree(), cforest(). I don't have much technical knowledge and I am a beginner at R. I use the 64-bit version on Windows. Examples of the code that I used:dt - rpart(Product ~ Age + TotalChildren + NumberCarsOwned, data=TrainData, method=class, control=rpart.control(minsplit=50, cp=0, xval=0)) Formula - Product ~ Age + TotalChildren + NumberCarsOwnedctree - ctree(Formula, data=TrainData) rf - cforest(rFormula, data=TrainData) On a smaller data set (of 18.000 records) it does seem to work...How can I make it work on my dataset? Is there something in the arguments that I should change. Kind regards, Kim [[alternative HTML version deleted]] __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] Negative length vectors are not allowed error
Hi all, I have a question concerning an error that occurs when using the inspect() function on a set of rules made by the apriori function from the arules package. I have a dataset with 12 million records. It contains some basic sales information (such as product, customer data). I want to use the apriori function from the arules package on it: ruleset - apriori(sales, parameter=list(support=0.0005, confidence=0.1, minlen=2))It gives me 780379 rules. I want to have that much rules on purpose, so hence the parameters being so low (I guess you can reproduce this problem with any large dataset and low settings for support and confidence). But then I want to check out the rules with inspect. It has a subset because I'm only interested in rules with the attribute Product in the rhs. inspect(subset(ruleset, subset=rhs %pin% Product=))Then this error occurs: Error in inspect(subset(sales3ruleset, subset = rhs %pin% Product=)) : error in evaluating the argument 'x' in selecting a method for function 'inspect': Error in .Call(R_or_ngCMatrix, x@data, y@data, PACKAGE = arules) : negative length vectors are not allowedI looked around and apparently that part about negative length vectors are not allowed means that you want to create a vector that is larger than 2^31. How can you get around this limit? Or how can I make the inspectfunction work in this case?Thanks in advance!Kim [[alternative HTML version deleted]] __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Negative length vectors are not allowed error
brIf the email is still unreadable, please look at the attachment email.txt.nbsp;brDear Martin,brbrThanks for your fast reply. Sorry about the formatting of the previous email. I actually tested it before sending and it came fine when sending to my own account but when I send it to the r-help email address it seemed like the formatting got lost.nbsp;brbrI can actually send you the project of R I am working in because for this experiment I am only using the Contoso DWH testdata from Microsoft.nbsp;brThe R project is too big to include in the attachment, so you can download it from my dropbox via this link:nbsp;bra href=https://www.dropbox.com/s/lry1v7ka2env5xf/Example.RData?dl=0; target=_blankhttps://www.dropbox.com/s/lry1v7ka2env5xf/Example.RData?dl=0/abrbrI see I a made a small mistake in my description, so I will rewrite it shortly in steps:nbsp;br1.nbsp;ruleset lt;- apriori(sales, parameter=list(support=0.0005, confidence=0.1, minlen=2)) This gives 780379 rules.nbsp;br2.nbsp;inspect(subset(ruleset, subset=rhs %pin% Product=))br3. just inspect(ruleset) does work. When finishing displaying nbsp;the 780379 rules, it also show me this and this message:nbsp;brWarning message:brclosing unused RODBC handle 1nbsp;brbrIf I understand the last part correctly, I should add Michael Hahsler's email address to the BCC. Otherwise, my apologies.nbsp;brbrThanks again,nbsp;brbrKimnbsp;brbrgt; From: maech...@stat.math.ethz.chbrgt; Date: Tue, 20 Jan 2015 10:30:34 +0100brgt; To: minorthre...@hotmail.combrgt; CC: r-help@r-project.org; maech...@stat.math.ethz.chbrgt; Subject: Re: [R] Negative length vectors are not allowed errorbrgt;brgt;brgt; gt; Hi all, I have a question concerning an error that occurs when using the inspect() function on a set of rules made by the apriori function from the arules package. I have a dataset with 12 million records. It contains some basic sales information (such as product, customer data). I want to use the apriori function from the arules package on it: ruleset lt;- apriori(sales, parameter=list(support=0.0005, confidence=0.1, minlen=2))It gives me 780379 rules. I want to have that much rules on purpose, so hence the parameters being so low (I guess you can reproduce this problem with any large dataset and low settings for support and confidence). But then I want to check out the rules with inspect. It has a subset because I'm only interested in rules with the attribute Product in the rhs. inspect(subset(ruleset, subset=rhs %pin% Product=))Then this error occurs: Error in inspect(subset(sales3ruleset, subset = rhs %pin% Product=)) :brgt; gt; error in evaluating the argument 'x' in selecting a method for function 'inspect': Error in .Call(R_or_ngCMatrix, x@data, y@data, PACKAGE = arules) :brgt; gt; negative length vectors are not allowedI looked around and apparently that part about negative length vectors are not allowed means that you want to create a vector that is larger than 2^31. How can you get around this limit? Or how can I make the inspectfunction work in this case?Thanks in advance!Kimbrgt; Dear Kim,brgt;brgt; if you learned to post (i.e. write that e-mail) in plain text,brgt; the above would look more humane..brgt;brgt; Still, I was able to decipher it and you are right in thatbrgt; you hit a limitation of the current setup which may wellbrgt; be linked to the Matrix package which I maintain, and on whichbrgt; 'arules' depends.brgt;brgt; Can you please try to find a reproducible example [with randomlybrgt; generated data; i.e., you'd use set.seed(), runif(), rpois(),brgt; rmultinom(), rnorm(), ...] so we,brgt; the maintainer of 'arules' Michael Hahsler (BCC'ed: usebrgt; maintainer(arules) to find such an e-mail address),brgt; and myself can look if and how that limitation might be lifted.brgt;brgt; Best regards,brgt; Martin Maechler, ETH Zurichbr Dear Martin, Thanks for your fast reply. Sorry about the formatting of the previous email. I actually tested it before sending and it came fine when sending to my own account but when I send it to the r-help email address it seemed like the formatting got lost. I can actually send you the project of R I am working in because for this experiment I am only using the Contoso DWH testdata from Microsoft. The R project is too big to include in the attachment, so you can download it from my dropbox via this link: https://www.dropbox.com/s/lry1v7ka2env5xf/Example.RData?dl=0 I see I a made a small mistake in my description, so I will rewrite it shortly in steps: 1. ruleset - apriori(sales, parameter=list(support=0.0005, confidence=0.1, minlen=2)) This gives 780379 rules. 2. inspect(subset(ruleset, subset=rhs %pin% Product=)) 3. just inspect(ruleset) does work. When finishing displaying the 780379 rules, it also show me this message: Warning message: closing unused RODBC handle 1 If I
Re: [R] Negative length vectors are not allowed error
Additionally, maybe it's interesting to note that I remember that I first also tried the apriori function but with support = 0.001 (the rest remains the same). It gave me the negative length vector error as well but then I thought to update the packages and it seemed like it worked because the inspect with subset gave the results. But with 0.0005 it still gives me that error. Dear Martin, Thanks for your fast reply. Sorry about the formatting of the previous email. I actually tested it before sending and it came fine when sending to my own account but when I send it to the r-help email address it seemed like the formatting got lost. I can actually send you the project of R I am working in because for this experiment I am only using the Contoso DWH testdata from Microsoft. The R project is too big to include in the attachment, so you can download it from my dropbox via this link: https://www.dropbox.com/s/lry1v7ka2env5xf/Example.RData?dl=0 I see I a made a small mistake in my description, so I will rewrite it shortly in steps: 1. ruleset - apriori(sales, parameter=list(support=0.0005, confidence=0.1, minlen=2)) This gives 780379 rules. 2. inspect(subset(ruleset, subset=rhs %pin% Product=))3. just inspect(ruleset) does work. When finishing displaying the 780379 rules, it also show me this message: Warning message:closing unused RODBC handle 1 If I understand the last part correctly, I should add Michael Hahsler's email address to the BCC. Otherwise, my apologies. Thanks again, Kim From: minorthre...@hotmail.com To: maech...@stat.math.ethz.ch Date: Tue, 20 Jan 2015 11:27:44 +0100 CC: r-help@r-project.org; mhahs...@lyle.smu.edu Subject: Re: [R] Negative length vectors are not allowed error brIf the email is still unreadable, please look at the attachment email.txt.nbsp;brDear Martin,brbrThanks for your fast reply. Sorry about the formatting of the previous email. I actually tested it before sending and it came fine when sending to my own account but when I send it to the r-help email address it seemed like the formatting got lost.nbsp;brbrI can actually send you the project of R I am working in because for this experiment I am only using the Contoso DWH testdata from Microsoft.nbsp;brThe R project is too big to include in the attachment, so you can download it from my dropbox via this link:nbsp;bra href=https://www.dropbox.com/s/lry1v7ka2env5xf/Example.RData?dl=0; target=_blankhttps://www.dropbox.com/s/lry1v7ka2env5xf/Example.RData?dl=0/abrbrI see I a made a small mistake in my description, so I will rewrite it shortly in steps:nbsp;br1.nbsp;ruleset lt;- apriori(sales, parameter=list(support=0.0005, confidence=0.1, minlen=2)! ) This gives 780379 rules.nbsp;br2.nbsp;inspect(subset(ruleset, subset=rhs %pin% Product=))br3. just inspect(ruleset) does work. When finishing displaying nbsp;the 780379 rules, it also show me this and this message:nbsp;brWarning message:brclosing unused RODBC handle 1nbsp;brbrIf I understand the last part correctly, I should add Michael Hahsler's email address to the BCC. Otherwise, my apologies.nbsp;brbrThanks again,nbsp;brbrKimnbsp;brbrgt; From: maech...@stat.math.ethz.chbrgt; Date: Tue, 20 Jan 2015 10:30:34 +0100brgt; To: minorthre...@hotmail.combrgt; CC: r-help@r-project.org; maech...@stat.math.ethz.chbrgt; Subject: Re: [R] Negative length vectors are not allowed errorbrgt;brgt;brgt; gt; Hi all, I have a question concerning an error that occurs when using the inspect() function on a set of rules made by the apriori function from the arules package. I have a dataset with ! 12 million records. It contains some basic sales information (such as product, customer data). I want to use the apriori function from the arules package on it: ruleset lt;- apriori(sales, parameter=list(support=0.0005, confidence=0.1, minlen=2))It gives me 780379 rules. I want to have that much rules on purpose, so hence the parameters being so low (I guess you can reproduce this problem with any large dataset and low settings for support and confidence). But then I want to check out the rules with inspect. It has a subset because I'm only interested in rules with the attribute Product in the rhs. inspect(subset(ruleset, subset=rhs %pin% Product=))Then this error occurs: Error in inspect(subset(sales3ruleset, subset = rhs %pin% Product=)) :brgt; gt; error in evaluating the argument 'x' in selecting a method for function 'inspect': Error in .Call(R_or_ngCMatrix, x@data, y@data, PACKAGE = arules) :brgt; gt; negative length vectors are not allowedI looked around and apparently that part about negative length vectors are not all! owed means that you want to create a vector that is larger than 2^31. How can you get around this limit? Or how can I make the inspectfunction work in this case?Thanks in advance!Kimbrgt; Dear Kim,brgt;brgt; if you learned to post (i.e. write that e-mail) in plain text,brgt; the
Re: [R] How to get items for both LHS and RHS for only specific columns in arules?
Sorry, I see that the formatting of the e-mail went all wrong and was
completely unreadable. you can find a readable version in the attachment and
down below (if it will work this time).
--
Hi all,
I have a question about the arules package in R. I hope the example tables are
readable in your email, otherwise you can view it in the question.txt in the
attachment.
Within the apriori function in the arules package, I want the outcome to only
contain these two variables in the LHS HouseOwnerFlag=0 and HouseOwnerFlag=1.
The RHS should only contain attributes from the column Product. For instance:
lhs rhs
1 {HouseOwnerFlag=0} = {Product=SV 16xDVD M360 Black}
2 {HouseOwnerFlag=1} = {Product=Adventure Works 26 720p}
3 {HouseOwnerFlag=0} = {Product=Litware Wall Lamp E3015 Silver}
4 {HouseOwnerFlag=1} = {Product=Contoso Coffee Maker 5C E0900}
So now I use the following:
rules - apriori(sales, parameter=list(support =0.01, confidence =0.8,
minlen=2), appearance = list(lhs=c(HouseOwnerFlag=0, HouseOwnerFlag=1)))
Then I use this to ensure that only the Product column is on the RHS:
inspect( subset( rules, subset = rhs %pin% Product= ) )
The outcome is like this (for the sake of readability, I omitted the colomns
for support, lift, confidence):
lhs
rhs
1 {ProductKey=153, IncomeGroup=Moderate, BrandName=Adventure Works } =
{Product=SV 16xDVD M360 Black}
2 {ProductKey=176, MaritalStatus=M, ProductCategoryName=TV and Video } =
{Product=Adventure Works 26 720p}
3 {BrandName=Southridge Video, NumberChildrenAtHome=0 }
= {Product=Litware Wall Lamp E3015 Silver}
4 {HouseOwnerFlag=1, BrandName=Southridge Video, ProductKey=170 }
= {Product=Contoso Coffee Maker 5C E0900}
So apparently the LHS is able to contain every possible column, not just
HouseOwnerFlag like I specified. I see that I can put default=rhs in the
apriori function to prevent this, like so:
rules - apriori(sales, parameter=list(support =0.001, confidence =0.5,
minlen=2), appearance = list(lhs=c(HouseOwnerFlag=0, HouseOwnerFlag=1),
default=rhs))
Then upon inspecting (without the subset part, just inspect(rules), there are
far less rules (7) than before but it does indeed only contain
HouseOwnerFlag in the LHS:
lhs rhs
1 {HouseOwnerFlag=0} = {MaritalStatus=S}
2 {HouseOwnerFlag=1} = {Gender=M}
3 {HouseOwnerFlag=0} = {NumberChildrenAtHome=0}
4 {HouseOwnerFlag=1} = {Gender=M}
However on the RHS there's nothing from the column Product in the RHS. So it
has no use to inspect it with subset as ofcourse it would return null. I tested
it several times with different support numbers to experiment and see if
Product would appear or not, but the 7 same rules remain the same.
So my question is, how can I specify both the LHS (HouseOwnerFlag) and RHS
(Product)? What am I doing wrong?
You can reproduce this problem by downloading this testdataset from the
attachment or via this link:
https://www.dropbox.com/s/tax5xalac5xgxtf/testdf.txt?dl=0
Mind you, I only took the first 20 rows from a huge dataset (12 million), so
the output here won't have the same product names as the example I displayed
above. But the problem still remains the same. (if you would like to have the
entire dataset I can email it ofcourse). I want to be able to get only
HouseOwnerFlag=0 and/or HouseOwnerFlag=1 on the LHS and the column Product on
the RHS.
I asked this question on other forum before, but no response at all
unfortunately. Since this mailinglist is dedicated to R only I thought you guys
might be able to help me.
Thanks in advance! I look forward to hear from you.
Kim
From: minorthre...@hotmail.com
To: r-help@r-project.org
Date: Thu, 15 Jan 2015 13:50:54 +0100
Subject: [R] How to get items for both LHS and RHS for only specific columns in
arules?
Hi all, I have a question about the arules package in R. I hope the example
tables are readable in your email, otherwise you can view it in the
question.txt in the attachment.Within the apriori function in the arules
package, I want the outcome to only contain these two variables in the LHS
HouseOwnerFlag=0 and HouseOwnerFlag=1. The RHS should only contain attributes
from the column Product. For instance: lhs rhs support confidence lift1
{HouseOwnerFlag=0} = {Product=SV 16xDVD M360 Black} 0.250 0.250
1.002 {HouseOwnerFlag=1} = {Product=Adventure Works 26 720p} 0.250
0.250 1.003 {HouseOwnerFlag=0} = {Product=Litware Wall Lamp E3015
Silver}0.167 0.333 1.334 {HouseOwnerFlag=1} =
[R] How to get items for both LHS and RHS for only specific columns in arules?
Hi all, I have a question about the arules package in R. I hope the example
tables are readable in your email, otherwise you can view it in the
question.txt in the attachment.Within the apriori function in the arules
package, I want the outcome to only contain these two variables in the LHS
HouseOwnerFlag=0 and HouseOwnerFlag=1. The RHS should only contain attributes
from the column Product. For instance: lhs rhs
support confidence lift1 {HouseOwnerFlag=0} =
{Product=SV 16xDVD M360 Black} 0.250 0.250 1.002
{HouseOwnerFlag=1} = {Product=Adventure Works 26 720p} 0.250
0.250 1.003 {HouseOwnerFlag=0} = {Product=Litware Wall Lamp E3015
Silver}0.167 0.333 1.334 {HouseOwnerFlag=1} = {Product=Contoso
Coffee Maker 5C E0900} 0.167 0.333 1.33So now I use the following:
rules - apriori(sales, parameter=list(support =0.01, confidence =0.8,
minlen=2), appearance = list(lhs=c(HouseOwnerFlag=0,
HouseOwnerFlag=1)))Then I use this to ensure that only the Product column is
on the RHS: inspect( subset( rules, subset = rhs %pin% Product= ) )The
outcome is like this (for the sake of readability, I omitted the colomns for
support, lift, confidence):lhs
rhs 1 {ProductKey=153, IncomeGroup=Moderate,
BrandName=Adventure Works } = {Product=SV 16xDVD M360 Black} 2
{ProductKey=176, MaritalStatus=M, ProductCategoryName=TV and Video } =
{Product=Adventure Works 26 720p} 3 {BrandName=Southridge Video,
NumberChildrenAtHome=0 }= {Product=Litware Wall Lamp E3015
Silver} 4 {HouseOwnerFlag=1, BrandName=Southridge Video, ProductKey=170 }
= {Product=Contoso Coffee Maker 5C E0900} So apparently the LHS is able to
contain every possible column, not just HouseOwnerFlag like I specified. I see
that I can put default=rhs in the apriori function to prevent this, like so:
rules - apriori(sales, parameter=list(support =0.001, confidence =0.5,
minlen=2), appearance = list(lhs=c(HouseOwnerFlag=0, HouseOwnerFlag=1),
default=rhs)) Then upon inspecting (without the subset part, just
inspect(rules), there are far less rules (7) than before but it does indeed
only containHouseOwnerFlag in the LHS:lhs rhs
support confidence lift1 {HouseOwnerFlag=0} =
{MaritalStatus=S}0.250 0.250 1.002
{HouseOwnerFlag=1} = {Gender=M} 0.250 0.250
1.003 {HouseOwnerFlag=0} = {NumberChildrenAtHome=0} 0.167
0.333 1.334 {HouseOwnerFlag=1} = {Gender=M}
0.167 0.333 1.33However on the RHS there's nothing from the column
Product in the RHS. So it has no use to inspect it with subset as ofcourse it
would return null. I tested it several times with different support numbers to
experiment and see if Product would appear or not, but the 7 same rules remain
the same.So my question is, how can I specify both the LHS (HouseOwnerFlag) and
RHS (Product)? What am I doing wrong?You can reproduce this problem by
downloading this testdataset from the attachment (testdf.txt) or via this
link:https://www.dropbox.com/s/tax5xalac5xgxtf/testdf.txt?dl=0 Mind you, I only
took the first 20 rows from a huge dataset (12 million), so the output here
won't have the same product names as the example I displayed above. But the
problem still remains the same. (if you would like to have the entire dataset I
can email it ofcourse). I want to be able to get only HouseOwnerFlag=0 and/or
HouseOwnerFlag=1 on the LHS and the column Product on the RHS. I asked this
question on other forum before, but no response at all unfortunately. Since
this mailinglist is dedicated to R only I thought you guys might be able to
help me. Thanks in advance! I look forward to hear from you.Kim
sales - structure(list(ProductCategoryName = structure(c(6L, 6L, 2L,
2L, 2L, 7L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 2L, 2L, 2L, 2L,
2L), .Label = c(Audio,
Cameras and camcorders , Cell phones,
Computers,
Games and Toys, Home Appliances, Music, Movies and Audio Books,
TV and
Video), class = factor), ProductSubcategory = structure(c(26L,
26L, 11L, 12L, 12L, 21L,
27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L,
27L, 12L, 12L, 12L, 12L,
12L), .Label = c(Air Conditioners,
