Displaying 20 results from an estimated 700 matches similar to: "arules package (apriori)"
2013 Oct 31
0
arules package apriori() fn error message XXXX
Hi everybody,
I am using the apriori() fn in the arules package and am encountered an error.
rules <- apriori(rdayst,parameter = list(support = 0.01, confidence = 0.6))
"You chose a very low absolute support count of 0. You might run of memory."
I assume this is related to the value of .01 specified for the support
= argument. If so, what is a safe and reliable max value for
2010 Feb 18
1
how to change number of itemes appeare in right-hand-side of the rule with apriori in R(arules)?
Hi All,
I use arules library, and try to create an association rules for this
transaction file:
a,c,f,3,4,5
b,e,1,2,4
a,c,e,f,1,3,4,5
d,5
b,c,e,f,1,2,3,4
a,c,e,f,1,3,4,5
b,c,e,f,1,3,4
b,e,1,2,4
a,c,e,f,1,3,4,5
a,b,c,e,f,1,3,4
a,c,d,f,3,4,5
I want to get the rule such:
{c,e,f}=> {3,4,5}
I used this command:
ar=apriori(tr, parameter=list(support=.4, confidence=0.8, maxlen=11),
appearance
2011 Jan 28
1
arules package question- apriori/S4 object export question
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
2012 Jan 17
1
arules "killed"
Hi, I recently got a bizarre message when running arules. It just said
"Killed" and quit. Anyone know why this might have happened? I am running R
on an AWS quad xl ubuntu instance.
Here is some information, including dataset size and the parameters:
parameter specification:
confidence minval smax arem aval originalSupport support minlen
maxlen
0.0003581251 0.1 1 none
2012 Jul 06
2
Problem with Apriori
Good morning
When I try to run an Apriori, I keep often the following message:
checking subsets of size 1Error in apriori(tr, parameter = list(supp =
3e-05, conf = 0.05, minlen = 2, :
internal error in trio library
Other time it works fine on the same data. What can be the reason for this?
--
Jolinda Bartlett
Eighty20 Consulting
Tel: 021 460 0440
Fax: 087 625 0649
3.1 East Wing
The Palms
2009 Feb 28
0
arules: rules are built on item ordering in the dataframe, rather than
Hi,
I'm trying out the package arules and I'm having a bit of trouble
getting my data to work properly. I have a set of transactions with
the purchased products but each product could appear in a different
column in the data frame. This causes the rules to be built based on
the ordering, which is not significant.
Here is an example:
# # Code:
my.df <- data.frame(
2011 Nov 11
0
predictive apriori
Dear list members,
I know that there is the arules package with the implementation of the
apriori algorithm. However i want to use the "predictive apriori" instead.
These algorithm can mine as rules as i want and there is an implementation
on weka.
There is some implementation on R?
--
Att,
Flávio Barros
[[alternative HTML version deleted]]
2013 Mar 11
2
Función Inspect() en "arules" package
Buenas tardes,
Necesito ayuda con la función inspect() del paquete "arules".
Mis comandos son:
r1 <- apriori(tran, parameter=list(support=0.012, confidence=0.7))
r1
summary(r1)
#todo bien, tengo 5 reglas y todo claro en el resume
#pero al pedir
inspect(r1)
inspect(sort(r1, by = "confidence"))
me arroja el error:
Error en UseMethod("inspect", x) :
no
2008 Jul 24
1
How to get rule number in arules
Dear R experts
I generated rules using apriori method in arules package. Though I can access rules using %in% function but I am unable to access a specific rule by its unique identifier number. I want to use rule number for further analysis..
Thanking you in advance.
Daniel
Amsterdam
Send instant messages to your online friends
2007 Oct 17
1
How to save association rules generated by arules package
Hi,
I have been able to generate association rules for Market Basket Analysis
using the following codes:
****************************************************************************
*******************************************
library("arules")
rules <- read.csv("write1.csv",na.strings=c(".", "NA", "", "?"),header=TRUE)
2009 Jul 17
1
Arules questions. I need some help please
Question 2a)
I am also working with arules package and I have the following problem
let suppose the matrix b like:
b<-matrix(c(1,1,1,1,1,1,0,0,1,1,1,1,0,0,1,1,0,1,1,1,1,1,1,1),nrow=6)
rownames(b)=c("T1", "T2", "T3", "T4", "T5", "T6")
colnames(b)=c("It1", "It2", "It3", "It4")
bt<-as(b,
2012 Jun 25
1
Arules - predict function issues - subscript out of bounds
Hi,
I'm doing a Market Basket Analysis in which I have a list of transaction
id's in column 2 and transactions(product names) in column 1. I read this
into a transaction file using a
txn<-read.transaction(file="data.csv",format='single', rm.duplicates=F,
cols=c(1,2))
If I want to use the apriori algorithm everything seems to be running fine.
However it is when I want
2013 May 21
0
Arules: getting rules with only one item in the left-hand side
Hello,
I am using the package arules to generate association rules. I would like
to restrict the rules so that in the left-hand side there's only one
particular element, let's call it "potatoe".
If I do this:
rules <- apriori(dtm.mat, parameter = list(sup = 0.4, conf =
0.9,target="rules"), appearance = list(lhs = c("potatoe")))
I get "potatoe"
2008 Mar 17
0
arules - getting transaction data in
Hi All
Hoping someone can help me with the "transactions" object. I am struggling
to get my data in. I know the answer is in the help somewhere I'm sure, I
just cannot find it. Essentially, I have data in this format (though I can
change it if it particularly unsuitable)
Transaction_id, store , salesman, date_time , items
1 , waterfront, john ,
2011 Jun 03
2
Arules: R Crashes when running eclat with tidLists=TRUE
Hello,
I'm using the eclat function of the arules package (1.0-6) for the
identification of frequent itemsets. I need the tidLists, but if I set
in the function tidLists=TRUE R crashes (Windows XP Professional SP3,
32 bit, R version 2.12.1 (2010-12-16), reproducible on two different
computers) with two different error messages or non at all. Minimum
examples are:
library(arules)
2011 Oct 10
1
pmml for random forest & rules
Hi,
I am having some trouble using R 2.13.1 for generating a pmml object
of of class "c('randomForest.formula', 'randomForest')"
I see that these methods are available:
> methods(pmml)
[1] pmml.coxph* pmml.hclust* pmml.itemsets* pmml.kmeans*
pmml.ksvm* pmml.lm* pmml.multinom* pmml.nnet*
pmml.rpart*
[10] pmml.rsf* pmml.rules* pmml.survreg*
2009 Dec 02
2
Arules - Association Rules
Hello everybody!
I'm trying some datamining, but i'm having some problems with arule
package, in the end of processing R "had to be closed". I already
tryied to reinstall the 2.10 version, change the computer and
realocated more virtual memory.
Does anyone had this problem to?
I had a hiphoteses that i have to prepare the data, somehow i don't
know.
Thanks for helping!!!
2013 Mar 09
2
grouping followed by finding frequent patterns in R
I have a data in the following form :
CIN TRN_TYP
9079954 1
9079954 2
9079954 3
9079954 4
9079954 5
9079954 4
9079954 5
9079954 6
9079954 7
9079954 8
9079954 9
9079954 9
. .
. .
. .
there are 100 types of CIN (9079954,12441087,15246633,...) and respective
TRN_TYP
first of all, I want this data to be
2007 Apr 15
0
as() creates invalid entries in methods list?
Hi,
We've observed rather strange behavior related to as(). When as() is
used to make a conversion to a super class, an invalid entry is
inserted into the table of methods.
> setClass("A", contains="list")
> get(".MTable", environment(coerce))[["list#A"]]
NULL
> as(list(), "A")
> get(".MTable",
2006 Jul 28
1
arules package: using image() deliveres unexpected results
Dear Collegues,
it seems like there is a problem with the image()-method in the package arules.
Using an ordninary matrix works fine:
image(matrix(rnorm(200), 10, 20), axes = FALSE, col=brewer.pal(9, "Blues") )
delivers an image with blue colors and no axes.
Using an object of the class "associations" (arules package) does not work:
image(items(ta.eclat), axes = FALSE,