search for: prettydates

Hi R-devel. I've noticed a couple of quirks in the current time/date axis functions (axis.Date, axis.POSIXct, and the equivalents in lattice). Looking at the code, it seems like a fairly ad-hoc approach, often using pretty() on components of the time. This is not always ideal - for example a one-hour interval gets cut into 10-minute chunks rather than the more natural 15-minute chunks (since

Hi all. pretty() is now generic in R-2.12 and there are new methods for Date and POSIXt classes. These methods could potentially be used inside axis.Date and axis.POSIXt (and Axis methods), although that has not been decided yet. The main advantage of the new method is that it is flexible, in the sense that users can specify the desired number of ticks on an axis. (e.g. one could easily draw,

Hi R-devel / R-core In the new pretty() methods for Date and POSIXct https://svn.r-project.org/R/trunk/src/library/grDevices/R/prettyDate.R there is currently a "pretty" time step listed as "15 DSTdays"... but this actually doesn't line up well with months. Much better to implement directly what this is trying to do: i.e. to have a "halfmonth" time step. This is

...theLegendLines <- 1:nCases==theObsCase myFill.color=c("red","orange","ForestGreen","black","blue","DodgerBlue")[pData$Stream] myPch.shape=c(23,24,21,22,15:19)[pData$Stream] theDates<-as.Date(pData$Days,origin=start) x.marks<-prettyDates(theDates, origin=start, by=xby) print(x.marks) xyplot(Value~theDates | Stream, data=pData, groups=Case, type=types, distribute.type=T, fill.color=myFill.color, pch.shape=myPch.shape, marks=x.marks, panel=function(x, y, fill.color, pch.shape, marks, ..., subscripts) { fill<-fill.colo...

>>>>> Ji?? Moravec >>>>> on Wed, 7 Feb 2024 10:23:15 +1300 writes: > This is my first time working with dates, so if the answer is "Duh, work > with POSIXt", please ignore it. > Why is not `round.Date` and `trunc.Date` "implemented" for `Date`? > Is this because `Date` is (mostly) a virtual class setup for a

The build system rolled up R-4.3.0.tar.gz (codename "Already Tomorrow") this morning. This is a major update, containing many new features and bug fixes. The list below details the changes in this release. You can get the source code from https://cran.r-project.org/src/base/R-4/R-4.3.0.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. Binaries for various

The build system rolled up R-4.3.0.tar.gz (codename "Already Tomorrow") this morning. This is a major update, containing many new features and bug fixes. The list below details the changes in this release. You can get the source code from https://cran.r-project.org/src/base/R-4/R-4.3.0.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. Binaries for various