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tdata
View on CRAN: Click
here
Download and install tdata package within the R console
Install from CRAN:
install.packages("tdata")
Install from Github:
library("remotes")
install_github("cran/tdata")
Install by package version:
library("remotes")
install_version("tdata", "0.3.0")
Attach the package and use:
library("tdata")
Maintained by
Ramin Mojab
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-06-12
Latest Update: 2023-11-07
Description:
Provides a set of tools for managing time-series data, with a particular emphasis on defining various frequency types such as daily and weekly. It also includes functionality for converting data between different frequencies.
How to cite:
Ramin Mojab (2023). tdata: Prepare Your Time-Series Data for Further Analysis. R package version 0.3.0, https://cran.r-project.org/web/packages/tdata. Accessed 29 Jan. 2025.
Previous versions and publish date:
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Other R packages that tdata depends,
imports, suggests or enhances
Complete documentation for tdata
Functions, R codes and Examples using
the tdata R package
Some associated functions: as.character.ldtf . as.character.ldtv . as.data.frame.ldtv . as.frequency . as.numeric.ldtv . bind.variables . convert.to.XxYear . convert.to.daily . convert.to.multidaily . convert.to.weekly . f.cross.section . f.daily.in.week . f.daily . f.hourly . f.list.date . f.list.string . f.minutely . f.monthly . f.multi.daily . f.multi.weekly . f.multi.yearly . f.quarterly . f.secondly . f.weekly . f.x.times.a.day . f.x.times.a.year . f.x.times.z.years . f.yearly . get.class.id . get.class.id0 . get.longrun.growth . get.seq . get.seq0 . length.ldtv . minus.freqs . next.freq . oil_price . print.ldtf . print.ldtv . remove.na.strategies . row.names.ldtv . variable .
Some associated R codes: RcppExports.R . convert.R . frequency.R . generics_f.R . helpers.R . init.R . variable.R . Full tdata package functions and examples
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