Hi,
I have a dataset whose row names corresponds to months. When I apply lag
function (dplyr package) on this dataset, I get NAs with warning messages.
Is there any lag function that carries out the lag but keep the row names?
I will have two datasets. The dates of the datasets are not exactly the
same, and I want to find out the correlation for the overlapping period.
Thanks,
> temp
oil95
1981M01 103.27
1981M02 107.92
1981M03 110.26
1981M04 110.26
1981M05 110.11
1981M06 109.93
1981M07 109.93
1981M08 109.93
1981M09 109.93
1981M10 109.93
> dplyr::lag(temp, 2)
oil95
1981M01 NA
1981M02 <NA>
1981M03 <NA>
1981M04 <NA>
1981M05 <NA>
1981M06 <NA>
1981M07 <NA>
1981M08 <NA>
1981M09 <NA>
1981M10 <NA>
Warning message:
In format.data.frame(x, digits = digits, na.encode = FALSE) :
corrupt data frame: columns will be truncated or padded with NAs
>
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