R Under development (unstable) (2024-06-20 r86796 ucrt) -- "Unsuffered Consequences"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> 
> library(nanotime)
> 
> set.seed(42)
> N <- 300
> shine <- nanotime(Sys.time()) + cumsum(10*rpois(n=N+1, lambda=4))
> rain <- nanotime(Sys.time()) + cumsum(10*rpois(n=N+1, lambda=4) + round(runif(N+1)*25))
> 
> if (requireNamespace("data.table", quietly=TRUE)) {
+     suppressMessages(library(data.table))
+     suppressMessages(library(bit64))
+     raw <- data.table(shine=shine, rain=rain)
+ 
+     df <- data.frame(val=c(rain,shine), key=rep(c("rain", "shine"), each=N+1))
+     head(df)
+ 
+     ## now on differences
+     ddf <- data.frame(val=as.numeric(c(diff(rain),diff(shine))), # need to cast to numeric after diffs
+                       key=rep(c("rain", "shine"), each=N))
+     head(ddf)
+ 
+     ## simpler data.frame, inserts 'formatted'
+     newdf <- data.frame(rain=rain, shine=shine)
+     head(newdf)
+ }
                                 rain                               shine
1 2024-06-21T14:46:53.715452015+00:00 2024-06-21T14:46:53.713614057+00:00
2 2024-06-21T14:46:53.715452033+00:00 2024-06-21T14:46:53.713614127+00:00
3 2024-06-21T14:46:53.715452076+00:00 2024-06-21T14:46:53.713614157+00:00
4 2024-06-21T14:46:53.715452148+00:00 2024-06-21T14:46:53.713614217+00:00
5 2024-06-21T14:46:53.715452237+00:00 2024-06-21T14:46:53.713614267+00:00
6 2024-06-21T14:46:53.715452271+00:00 2024-06-21T14:46:53.713614307+00:00
> 
> proc.time()
   user  system elapsed 
   0.81    0.15    0.95