missing.steps: Find missing time steps in an univariate time series
In freysimon/TigR: A collection of more or less usefull R functions
missing.steps R Documentation
Find missing time steps in an univariate time series
Description
Irregularities are found by diff.POSIXt. A majority vote using which.max from the package table determines the most common time step.
Any differing timesteps are interpreted as missing. A vector containing the locations of those missing time steps is returned.
Note that only the location but not how many time steps per gap are missing is returned.
Usage
missing.steps(x)
Arguments
x
an xts object
Value
a numerical vector giving the differences of the time steps of the xts object
a numeric vector
Author(s)
Simon Frey
See Also
fill.missing
freysimon/TigR documentation built on Jan. 26, 2024, 9:01 a.m.
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| missing.steps | R Documentation |
Find missing time steps in an univariate time series
Description
Irregularities are found by diff.POSIXt. A majority vote using which.max from the package table determines the most common time step.
Any differing timesteps are interpreted as missing. A vector containing the locations of those missing time steps is returned.
Note that only the location but not how many time steps per gap are missing is returned.
Usage
missing.steps(x)
Arguments
x |
an xts object |
Value
a numerical vector giving the differences of the time steps of the xts object
a numeric vector
Author(s)
Simon Frey
See Also
fill.missing
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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