Why reprex? Getting unstuck is hard. Your first step here is usually to create a reprex, or reproducible example. The goal of a reprex is to package your code, and information about your problem so that others can run it…
Running logistic regression in R I get the following summary output > mod2 <- glm(cbind(Transaction, No.transcation) ~ Gender + Age, data = csvd, family = binomial()) > summary(mod2) Call: glm(formula = cbind(Transaction, No.transcation) ~ Gender + Age, family = bi...
Error in if (PriceFactor < WindowLeft) r <- CentralLapseRate * (1 + ElasticityLeft/WindowLeft * : missing value where TRUE/FALSE needed So indeed, LapseRate() is comparing a NA value to something else, resulting in NA, just as the error message stated. Figuring out why PriceFactor is...
I went to google finance and downloaded historical data for all of the sector SPDRs, e.g., XLY, XLP, XLE, XLF. I’ve named the files in the format ofdat.{SYMBOL}.csv. The R code loads it up, formats it, and then ultimately creates a data frame where each column is the symbol...
you can also join both in one line or to cbind at the end, your call of style Another advantage: it is extremely fast, if you have large samples. Very fast...see documentation why. Share Improve this answer Follow answered Mar 19, 2010 at 21:15 jorgusch 2,21122...
But a natural question is, sensitive specifically to what? Can I vary anything in the analysis to test the sensitivity of the result? For example, if I obtained an odds ratio of 1.7 from the primary analysis in my experiment and I conducted an extra analysis to see whether the odds ratio...
Since Map is a wrapper aroundmapply, andlapplyis a special case of mapply. Therefore Map and lapply show similarity in a lot of cases. do.callis often used withrbindandcbind, as it is used to assemble lists into simpler structures. Its input is a function and it applies its other argume...
bootstrap <- data.frame(cbind(c("Observed", "No Treatment", "Treatment", "Treatment - No Treatment"), mean, se, ll, ul)) bootstrap 15.5倾向值模型、结构模型、预测模型 l 倾向值模型中的参数是不能做出因果性解释的冗余参数,但倾向值模型对于做因果推断还是有用的,通常可以作为结构模型中参数估计...
maybe this is a little bit faster n<-nrow(test_df)fun<-function(y)cor(x,y)result<-c()for(iin1:(n-1)){x<-as.numeric(test_df[i,3:ncol(test_df)])result<-c(result,apply(test_df[(i+1):nrow(test_df),3:ncol(test_df)],1,fun))}m<-rep((n-1):1,...
wherelstis : lst<-list(c(0,0,1),c(1,2,3),c(9,1,2)) Share answeredAug 5, 2020 at 11:54 Ronak Shah 387k2020 gold badges167167 silver badges229229 bronze badges Thanks, I was also considering something like. I wonder about the overhead generated by rbind'ing or ...