R version 4.5.0 beta (2025-04-01 r88091 ucrt) -- "How About a Twenty-Six"
Copyright (C) 2025 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 2025-04-02T12:32:16.214564144+00:00 2025-04-02T12:32:16.211693118+00:00
2 2025-04-02T12:32:16.214564162+00:00 2025-04-02T12:32:16.211693188+00:00
3 2025-04-02T12:32:16.214564205+00:00 2025-04-02T12:32:16.211693218+00:00
4 2025-04-02T12:32:16.214564277+00:00 2025-04-02T12:32:16.211693278+00:00
5 2025-04-02T12:32:16.214564366+00:00 2025-04-02T12:32:16.211693328+00:00
6 2025-04-02T12:32:16.214564400+00:00 2025-04-02T12:32:16.211693368+00:00
> 
> proc.time()
   user  system elapsed 
   1.04    0.20    1.23