Hi Experts,

How can we lag the series in order to feed it to the models ?´

```
library(dplyr)
# Sample data
eg <- data.frame(dat = c("a","b","c"), Jan = c(1,2,3), Feb = c(4,5,6), Mar = c(7,8,9))
# Repeat each row
eg %>% slice(rep(1:n(), each = 3))
# expected output
exp_out <- data.frame(dat = c(rep("a",3),rep("b",3),rep("c",3)),
somecolumnName1 = c(NaN,NaN,NaN,NaN,NaN,NaN,NaN,NaN,NaN),
somecolumnName2 = c(NaN,NaN,1,NaN,NaN,2,NaN,NaN,3),
somecolumnName3 = c(NaN,1,4,NaN,2,5,NaN,3,6),
Jan = c(1,4,7,2,5,8,3,6,9),
Feb = c(4,7,NA,5,8,NA,6,9,NA),
Mar = c(7,NA,NA,8,NA,NA,9,NA,NA))
```

This is actually from 3 rows and 3 months but how can we do the same shifting operations for 30,000 rows and 36 months ?

Tried with dplyr::lag but it shifts column wise but not row wise

Could you please advise me