Comments (4)
Do you mean at the R or at the C++ level? In R, seconds since epoch is the usual conversion from POSIXct:
R> library(nanotime)
R> now <- Sys.time()
R> format(nanotime(now))
[1] "2017-01-11T17:59:03.210716+00:00"
R> format(nanotime(as.numeric(now)*1e9))
[1] "2017-01-11T17:59:03.210716672+00:00"
R>
The two are the same (relative to rounding error) as nanotime has nanoseconds since epoch \approx (fractional) seconds since epoch \times 1e9
Nanoseconds since last second sounds weird. Just instantiate that last second and add to it:
R> format(nanotime(now) + 42) # 42 nsec later
[1] "2017-01-11T17:59:03.210716042+00:00"
R>
from nanotime.
Like I said, just convenience for times coming from other sources. struct timespec
has exactly that: seconds since epoch and nanoseconds since last second.
from nanotime.
Right. But isn't what RcppCCTZ does with parseDatetime (returning two values) which we then use here in a somewhat ill-named helper.
from nanotime.
Here is a minimal answer. Start with sourceCpp()
on this snippet to get struct timeres
to R:
#include <Rcpp.h>
// [[Rcpp::plugins(cpp11)]]
// [[Rcpp::export]]
Rcpp::NumericMatrix hiresNow() {
struct timespec ts;
timespec_get(&ts, TIME_UTC);
Rcpp::NumericMatrix M(1,2);
M(0,0) = ts.tv_sec;
M(0,1) = ts.tv_nsec;
return M;
}
This basically just wraps access to struct timeres
into a function returning the Matrix
representation I already needed anyway.
Then:
R> library(Rcpp)
R> sourceCpp("/tmp/danCtor.cpp")
R> M <- hiresNow(); now <- Sys.time()
R> M
[,1] [,2]
[1,] 1484183403 196793033
R> library(nanotime)
R> nanotime:::nanotime.matrix(M)
integer64
[1] 1484183403196793033
R> format(nanotime:::nanotime.matrix(M)) # at UTC
[1] "2017-01-12T01:10:03.196793033+00:00"
R> now # local POSIXct
[1] "2017-01-11 19:10:03.207415 CST"
R> format(now, tz="UTC") # POSIXct at UTC
[1] "2017-01-12 01:10:03.207415"
R>
and the difference is the difference in the time in M <- hiresNow(); now <- Sys.time()
which appears to be 10 msec or so. Sounds about right.
So you just need to write yourself a convenience wrapper for nanotime:::nanotime.matrix()
.
from nanotime.
Related Issues (20)
- R-devel nags HOT 3
- Filter timestamps between times from specific time zone HOT 2
- Add/subtract methods for nanoduration/difftime durations HOT 1
- Add/subtract methods for nanotime datetimes and difftime durations HOT 1
- Add 'as.nanoduration.Duration()' HOT 5
- Issues with 'nanoival()' checks/tests HOT 7
- 'as.nanotime(NA_character_)' throws an ERROR HOT 5
- 7 out of 1256 tests failed on ppc32 HOT 5
- POSIXct -> nanotime -> POSIXct consistency HOT 13
- nanoduration divided by nanoduration should return double rather than integer64
- as.Date does not handle the case where tz is a vector HOT 5
- Could you implement comparaison on nanoduration and Character HOT 3
- Duration since yesterday's midnight in some timezone HOT 4
- nanotime 0.3.3 release HOT 2
- as.character(nanotime) returns the underlying integer HOT 4
- Export `nanoperiod` C interface for other packages to use
- Incorrect parsing for negative `nanoperiod`
- Support for abs() HOT 13
- Add to awesome-vctrs? HOT 1
- Incorrect subsetting with operator `%in%` HOT 15
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from nanotime.