I have a dataframe
date dz1 hs1 tm1 ft1 pv1
2021-03-21 18:12:37 30 15 0 5 25
2021-03-21 12:10:13 39 25 15 15 20
2021-03-24 18:06:33 30 30 0 39 40
2021-03-24 21:02:22 30 20 0 25 40
2021-03-21 15:11:06 25 15 19 20 20
2021-03-20 18:03:06 34 20 21 0 30
I am trying to sort the data by date. Essentially, I need the date
column to be sorted in increasing date.
Like this
date dz1 hs1 tm1 ft1 pv1
2021-03-20 18:03:06 34 20 21 0 30
2021-03-21 12:10:13 39 25 15 15 20
2021-03-21 15:11:06 25 15 19 20 20
2021-03-21 18:12:37 30 15 0 5 25
2021-03-24 18:06:33 30 30 0 39 40
2021-03-24 21:02:22 30 20 0 25 40
My searches for a solution led me to
data <- sort(data$date, decreasing=FALSE)
It doesn't seem to work. It doesn't sort - instead it creates a sorted vector of the dates. As you can see, the time next to the date is important and I need to keep it. Perhaps this is the issue. I can't seem to find a solution using the timeSeries
package either. I also tried the arrange()
function in dplyr
.
data <- dplyr::arrange(data, date)
This is closer to what I want. It is certainly sorted by year, month, and day. However, I did mention the time was important. This is something the function does not sort. I see an entry from an earlier time point will lower down the data.