Package: tdata 0.3.0

tdata: Prepare Your Time-Series Data for Further Analysis

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.

Authors:Ramin Mojab [aut, cre]

tdata_0.3.0.tar.gz
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tdata_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
tdata/json (API)

# Install 'tdata' in R:

install.packages('tdata', repos = c('https://rmojab63.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rmojab63/ldt/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

oil_price - Data for Vignette

On CRAN:

cpp

2.48 score 1 packages 6 scripts 268 downloads 33 exports 2 dependencies

Last updated from:dce9befc22. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	179
linux-devel-x86_64	OK	181
source / vignettes	OK	286
linux-release-arm64	OK	174
linux-release-x86_64	OK	156
macos-release-arm64	OK	169
macos-release-x86_64	OK	371
macos-oldrel-arm64	OK	146
macos-oldrel-x86_64	OK	320
windows-devel	OK	324
windows-release	OK	185
windows-oldrel	OK	206
wasm-release	OK	182

Exports:as.frequency bind.variables convert.to.daily convert.to.multidaily convert.to.weekly convert.to.XxYear f.cross.section f.daily f.daily.in.week 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 minus.freqs next.freq remove.na.strategies variable

Dependencies:BH Rcpp

Time and Data

Rendered fromtime_and_data.Rmdusingknitr::rmarkdown

Last update: 2023-06-29
Started: 2023-06-12

Citation

Readme and manuals

Help Manual

Help page	Topics
Convert Frequency to Character	as.character.ldtf
Convert a Variable to Character String	as.character.ldtv
Convert Variable to Data Frame	as.data.frame.ldtv
Convert Character String to Frequency	as.frequency
Coerce Variable to 'numeric'	as.numeric.ldtv
Bind Variables and Create a Data.frame	bind.variables
Convert Data to Daily Frequency	convert.to.daily
Convert Data to Multi-Day Frequency	convert.to.multidaily
Convert Data to Weekly Frequency	convert.to.weekly
Convert Data to Year-Based Frequency	convert.to.XxYear
Create a Cross-Section Frequency	f.cross.section
Create a Daily Frequency	f.daily
Create a 'Daily-In-Week' Frequency	f.daily.in.week
Create an 'Hourly' Frequency	f.hourly
Create a 'List-Date' Frequency	f.list.date
Create a 'List-String' Frequency	f.list.string
Create a 'Minute-ly' Frequency	f.minutely
Create a Monthly Frequency	f.monthly
Create a Multi-Day Frequency	f.multi.daily
Create a Multi-Week Frequency	f.multi.weekly
Create a Multi-Year Frequency	f.multi.yearly
Create a Quarterly Frequency	f.quarterly
Create a 'Second-ly' Frequency	f.secondly
Create a Weekly Frequency	f.weekly
Create an 'X-Times-A-Day' Frequency	f.x.times.a.day
Create an 'X-Times-A-Year' Frequency	f.x.times.a.year
Create an 'X-Times-Z-Years' Frequency	f.x.times.z.years
Create an Annual Frequency	f.yearly
Get the Class Id of a Frequency	get.class.id
Convert Frequency to Character and Class Id	get.class.id0
Calculate Long-run Growth	get.longrun.growth
Generate a Sequence from a Range of Frequencies	get.seq
Generate a Sequence from a Range of Frequencies	get.seq0
Get Length of Data in a Variable	length.ldtv
Get Interval between two frequencies	minus.freqs
Get Next Frequency	next.freq
Data for Vignette	oil_price
Print a Frequency	print.ldtf
Print a Variable	print.ldtv
Scenarios for Removing 'NA's	remove.na.strategies
Get Row Names of a Variable	row.names.ldtv
Create a Variable	variable

Package: tdata 0.3.0

tdata: Prepare Your Time-Series Data for Further Analysis

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)