search for: checkdata

...######################################################? reguire(zoo) require(PerformanceAnalytics) reguire(xts) ? year<- c(1991-12-30, 1992-12-30, 1993-12-30, 1994-12-30) R1 <- c(12, 9, 8, 13) R2 <- c(5,2,9, 13) d? <- data.frame(cbind(year, R1,R2)) ? d<- zoo(d,year)? VaR(d) #Error in checkData(R, method = "xts", ...) ? #When I use d <- as.xts(d,order.by =year, frequency = 1) ? #Error in xts(coredata(x), order.by = order.by, frequency = frequency,? : ?# order.by requires an appropriate time-based object Peter Maclean Department of Economics UDSM

...e works fine. Orig data was my training data. I now have a test data file (testdata), and would like to run the testdata through the above tree to see predictions. I tried using the following function >predict(test.ct,newdata=testdata) but I get the following error: Error in checkData(oldData, RET) : Levels in factors of new data do not match original data I've looked at the testdata file closely and it does not appear to contain any levels of factors that were not in the original. What might I be doing incorrectly, and how can i use the tree that was gen...

ES function gives the below error. > ES(sim, p=.95, method=c("modified"),portfolio_method=c("component"), > weights=w1) /Error in checkData(R, method = "xts", ...) : The data cannot be converted into a time series. If you are trying to pass in names from a data object with one column, you should use the form 'data[rows, columns, drop = FALSE]'. Rownames should have standard date formats, such as '1985-03-15'...

...lem: I am unable to read data in the xls-format in the PerformAnalytics package. While it works well for several commands, e.g. t(table.Stats(msci_ret)) it does not work for other commands, e.g. x <- msci_ret[, c("CH"), drop = FALSE] table.Drawdowns(x) The error code is: Error in checkData(R) : The data cannot be converted into a time series. If you are trying to pass in names from a data object with one column, you should use the form 'data[rows, columns, drop = FALSE]'. Rownames should have standard date formats, such as '1985-03-15'. > 2) I guess it is...

...Listed~ HabMode,controls=cforest_unbiased(ntree=500), data=oc.complete) #use predict function for subset of data #this works correctly predict(oc_listed.fit1,newdata=oc.complete[1:10,]) #use predict on new set of data predict(oc_listed.fit1,newdata=DD_NOT) #produces this error message #Error in checkData(oldData, RET) : #Levels in factors of new data do not match original data #We can show that all of the levels match table(DD_NOT$ORD %in% oc.complete$ORD) #same check sum(!levels(DD_NOT$ORD) %in% levels(oc.complete$ORD)) #equals 0, all levels are the same. #Then why does it fail? Thanks, A...

...odel based on different cases (learning sample). I tried the where command with the following syntax: > where(tree, newdata=data2) expecting to get terminal nodes of data2 cases based on rules of tree model (data1 as learning sample). However it returned the following error message: Error in checkData(oldData, RET) : Classes of new data do not match original data Party documentation states that I can use this command both for learning sample (newdata=NULL) or new observations. What am I doing wrong? Best wishes Joao Daniel -- View this message in context: http://r.789695.n4.nabble.com/Wh...