A Common Representation of Time Indices of Different Types
Conversion to tind Class
Get the Same Date and Time in a Different Time Zone
Compute Time Axis Parameters for Plotting
Add Time Axis --- Plotting with graphics Package
Business Days
Calendar Names
Working with Custom Calendars
Calendrical Computations in tind Package
Current Date and Time
Group Time Indices into Periods / Convert to a Factor
Construct Date-Time Indices from Date and Time Components
Conversion between Dates and Their Integer Representations
Differences Between Dates as Year Fractions / Accrual Factors
Lagged Differences for tind and tdiff Objects
Conversion between Objects of tind Class and Character Vectors
Date and Date-Time Conversion to and from Julian Day Number (JDN)
Matching Time Indices
Merging Time-indexed Data
Operations Involving Time Indices, Time Differences, and Time Interval...
Working with Ordered and Regularly Spaced Time Indices
Parse Character Representation of Time Indices Given the Order of Comp...
Pretty Breakpoints for Time Indices
Determine the Resolution of Time Indices
Rounding Time Indices
Time Scales for Plotting with ggplot2
Create a Sequence of Time Indices
Set Operations on Time Intervals and Time Indices
Get Time Unit
Time Differences
Get Time Index Type
Time Index Components (Years, Months, Days, ...)
Time Index Properties (Leap Years, Period Lengths, DST)
Conversion of Objects of tind Class
Basic Methods for tind Class
Conversion between tind and Other Time Index Representations
A Common Representation of Time Indices of Different Types
A Common Representation of Time Indices of Different Types
Time Intervals
Determine Time Span of Time Indices and Time Intervals
Read or Set Time Zone for Date-Time Indices
Converting Time Indices to Year Fractions and Back
Provides an easy-to-use tind class representing time indices of different types (years, quarters, months, ISO 8601 weeks, dates, time of day, date-time, and arbitrary integer/numeric indices). Includes an extensive collection of functions for calendrical computations (including business applications), index conversions, index parsing, and other operations. Auxiliary classes representing time differences and time intervals (with set operations and index matching functionality) are also provided. All routines have been optimised for speed in order to facilitate computations on large datasets. More details regarding calendars in general and calendrical algorithms can be found in "Calendar FAQ" by Claus Tøndering <https://www.tondering.dk/claus/calendar.html>.