aggregate_to_interval: Aggregate data to other time-intervals
In MAGDa-BeuthHS/imputeData: Read timeseries from csv-files and impute missing Data
Description
Usage
Arguments
Value
Description
Take first elements of every column (sensor, z, posix)
and use mean for variables with missing data
Usage
1
aggregate_to_interval(data, vars = c("b", "g"), interval = 5)
Arguments
data
the input-datatable (including sensor, z, posix and variables with missing data)
vars
the variables with missing data
interval
the interval of the target-datatable
Value
a datatable with bigger time-intervals
MAGDa-BeuthHS/imputeData documentation built on May 8, 2019, 9:28 a.m.
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Description Usage Arguments Value
Description
Take first elements of every column (sensor, z, posix) and use mean for variables with missing data
Usage
1 | aggregate_to_interval(data, vars = c("b", "g"), interval = 5)
|
Arguments
data |
the input-datatable (including sensor, z, posix and variables with missing data) |
vars |
the variables with missing data |
interval |
the interval of the target-datatable |
Value
a datatable with bigger time-intervals
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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