Hi All: I have a data frame called all_corn. This has 31 columns. The first column is a character key. The next 15 columns (stat1,stat2,...,stat15) are the statistical forecast. The last 15 columns (sls1,sls2,...,sls5) are actual sales. I want to calculate textbook tracking signal and cuulative percent error.
1) I am showing some of the calculations below. How can I make a loop out of this instead of manually doing this 15 times? 2) Once All these calculations are done, how do I put all these columns (err1,err2, etc.) into the same data frame? Thanks. attach(all_corn) cum_sls1 <- sls1 err1 <- sls1-stat1 cum_err1 <- sls1-stat1 cum_abs_err1 <- abs(err1) mad1 <- abs(cum_err1)/1 cum_pct_err1 <- (ifelse(cum_sls1 > 0, cum_err1/cum_sls1, 1))*100 ts1 <- ifelse(mad1 > 0, cum_err1/mad1, 0) cum_sls2 <- cum_sls1 + sls2 err2 <- sls2-stat2 cum_err2 <- cum_err1 + sls2-stat2 cum_abs_err2 <- cum_abs_err1 + abs(err2) mad2 <- cum_abs_err2/2 cum_pct_err2 <- (ifelse(cum_sls2 > 0, cum_err2/cum_sls2, 1))*100 ts2 <- ifelse(mad2 > 0, cum_err2/mad2, 0) ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
