Can you post my message?ThanksValentina
Dear R users, I hope that this format is find. I'm a new user of R. I'm trying to do a LM test as in Terasvirta (2013) and when I run the code there is this type of error: Error in t(mX) %*% mX : requires numeric/complex matrix/vector arguments. The problem could be on how I construct by dataset.
I have import the data by the following command getwd() [1] "C:/Program Files/R" > list() list() > list.files() [1] "colombo.csv" "colombov.csv" "colombov.txt" "R-3.0.2" > D<-read.table(file="colombov.txt", header=T) In the file colombov there are 9 variables for T=126. > names(X) [1] "DATE" "G" "T" "Y" "SV" "GperSV" "TperSV" "YperSV" [9] "news" >fix(D) From my D I have to construct 3 matrices. To do that I go on with the further steps: First of all---> I need 3 matrix(mY, mX, mZ) I create a matrix for each of the above 9 variables. G<-matrix(D$G) I repeat this step for all the above varibles. (I repeat this step n=9) Then, I use mY<-matrix(nrow=126, ncol=4) mY<-cbind(G, T, Y, news) I repeat the above step to create matrix mX and mZ. Then I check the class(mZ) class(mY) and class(mY). It returns that mZ, mY, mX are matrix. Is there something wrong when I construct my dataset? Is for this reason that I cannot compute my LM test and it returns "Error : requires numeric/complex matrix/vector argumentsâ"? Any suggestions Thanks a lot Valentina Any suggestion? Thanks a lot Valentina
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