search for: stat_ramesh

  I have timeseries data for some factors, and some missing values are there in those factors, I want impute those missing values without disturbing the distribution of that factor, and maintaining the correlation with other factors. Pl. suggest me some imputation methods. I tried some functions in R like aregImpute, transcan. After the imputation I am unable to retrive the data with imputed

Sir,   I am unable to get the source code for Durbin-Watson test, as I want to calculate the p-value for Durbin Watson statistic using interpolation method. I sent this mail to r-help, but it was rejected, please suggest me some way. I will be highly greatful to you. Thanks in advance Ramesh [[alternative HTML version deleted]]

Test for stationarity (pp-test). In R source code all other command executions I understood, but how I am getting the ssqrtl value ssqrtl <- .C ("R_pp_sum", as.vector(u,mode="double"), as.integer(n), as.integer(l), trm=as.double(ssqru), PACKAGE="ts") please explain the above command. Thanks in advance Ramesh [[alternative HTML version