S3 Infrastructure for Regular and Irregular Time Series (Z's Ordered Observations)
Compute Summary Statistics of zoo Objects
Coercion from and to zoo
Extracting/Replacing the Core Data of Objects
Replacing the Index of Objects
Convenience Functions for Plotting zoo Objects with ggplot2
Extracting/Replacing the Index of Objects
Check Regularity of a Series
Lags and Differences of zoo Objects
Make a List from a Parameter Specification
Value Matching
Merge Two or More zoo Objects
Replace NA by Aggregation
Replace NA by Interpolation
Fill NA or specified positions.
Last Observation Carried Forward
Fill NA or specified positions.
Trim Leading/Trailing Missing Observations
Ordering Permutation
Plotting zoo Objects
Reading and Writing zoo Series
Apply Rolling Functions
Rolling Means/Maximums/Medians/Sums
Extract/Replacing the Time Windows of Objects
Plot contiguous blocks along x axis.
Plot zoo Series with Lattice
An Index Class for Monthly Data
An Index Class for Quarterly Data
Z's Ordered Observations
Regular zoo Series
An S3 class with methods for totally ordered indexed observations. It is particularly aimed at irregular time series of numeric vectors/matrices and factors. zoo's key design goals are independence of a particular index/date/time class and consistency with ts and base R by providing methods to extend standard generics.