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Hi Adam, I guess below code would help you achieve the desired ouput. > colnames(data[,which(apply(data,2,FUN = function(x){any(x>0.5)}))]) Happy Learning! Vikash On Wed, Oct 15, 2014 at 5:53 PM, Adam.N...
Collaborative filtering will be helpful. Regards, Vikash On Wed, Dec 28, 2016 at 3:53 PM, Winson Lui <Winson.Lui at bwinparty.com> wrote: > HI, > > I have a historical dataset which tells who bought our products. This > dataset contains ID...
Install the dependent packages also. Try - install.packages("proxy") #then install.packages("IsoriX") Regards, Vikash <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail> Virus-free. www.avast.com <https...
Hi Stephen, Try out lapply(). It would help you loop through all data frames and sum. Regards, Vikash On Thu, Oct 16, 2014 at 1:58 AM, Stephen HK Wong <honkit at stanford.edu> wrote: > Dear All, > > I have many...
Hi, It works! Only one thing we need to note is when we have only one column name as an output we do not get the results. > d=c(11:21) > e=c(51:61) > data<-data.frame(embed(1...
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