ts_inflate: Inflate a time series data set.
In PVplr: Performance Loss Rate Analysis Pipeline
ts_inflate R Documentation
Inflate a time series data set.
Description
Shifts known values to the nearest equidistant timestamp and fills in any
missing timestamps with NA values. An additional binary column named
<column to impute>_imp is added where 1 represents an unknown value
and zero represents a known value.
Usage
ts_inflate(data, ts_col, col_to_imp, dt)
Arguments
data
A data frame containing columns ts_col and
col_to_imp.
ts_col
The name of the timestamp column.
col_to_imp
The name of the column to impute.
dt
The expected time between consecutive timestamps, in minutes.
PVplr documentation built on Feb. 16, 2023, 9:56 p.m.
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| ts_inflate | R Documentation |
Inflate a time series data set.
Description
Shifts known values to the nearest equidistant timestamp and fills in any
missing timestamps with NA values. An additional binary column named
<column to impute>_imp is added where 1 represents an unknown value
and zero represents a known value.
Usage
ts_inflate(data, ts_col, col_to_imp, dt)
Arguments
data |
A data frame containing columns |
ts_col |
The name of the timestamp column. |
col_to_imp |
The name of the column to impute. |
dt |
The expected time between consecutive timestamps, in minutes. |
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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