similar to: arules package apriori() fn error message XXXX

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

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

hello, I want to perform the Apriori association rules algorithm to my data. The set of data contains missing values and consists in a combination of continuous and categorical variables. After discretizing the continuous variables, I wrote the following instruiction to perform Apriori, but I obtained the following error message: > rules <- apriori(dd_new,parameter=list(supp=0.5, conf=0.9,

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(

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

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]]

 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

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

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)

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,

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

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"

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 ,

Hello everyone, I have the following x variable: DATE<-as.Date(as.character(data12$DATE),"%m/%d/%Y") This works fine, however, I want to plot multiple years of data on separate plots by month. All years have all 12 months data except 2011; HOWEVER I need the x axis limits to remain the same. I tried using xlim=c(1,12) and that did not work. Can someone please advise? Thank you!

Hi everyone, Is it possible to obtain the 1st & 3rd quartiles & the median in a sqldf() select statement? If so, can you please provide the summary fn code? Thanks! Dan [[alternative HTML version deleted]]

Hello everyone, What is the simplest, most RELIABLE way to import data from MS EXCEL (.xls) format to R? In the past I have used the read.xls() function from the xlsReadWrite package, however, I have been wrestling with it all afternoon long with no success. I continue to receive the following error message: > {widge<-read.xls("F:\\Classes\\Z1.Data\\stat.3010\\WidgeOne.xls", +

Hello everyone, Is it possible to specify a 2 line y-axis label on the same lef-hand side y-axis? I am using the \n regular expression, but only the 2nd line appears (I assume the 1st line is printed off the page...) plot(PRE_SHB,R1, main="Figure 1.1: Scatterplot of Residualized Post Score", xlab = "Pre Score", ylab = "Residualized Post Score \n (Adjusted for Age

Hi everyone, Any ideas on troubleshooting this memory issue: > d1<-read.csv("arrears.csv") Error: cannot allocate vector of size 77.3 Mb In addition: Warning messages: 1: In class(data) <- "data.frame" : Reached total allocation of 1535Mb: see help(memory.size) 2: In class(data) <- "data.frame" : Reached total allocation of 1535Mb: see

Hi everyone, How does one place an object name (in this case a vector name) into another object (while essentially masking the values of the first object? For example: > JOBSAT<-rnorm(40) > > CI<-function(x,alpha){ + result<-cbind(x,mean=mean(x),alpha) + print(result) + } > CI(JOBSAT,.05) I want this to return: Variable mean alpha JOBSTAT 0.02844131 0.05

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