MazamaTimeSeries (version 0.3.0)

sts_filter: General purpose data filtering for sts time series objects

Description

A generalized data filter for sts objects to choose rows/cases where conditions are true. Multiple conditions are combined with & or separated by a comma. Only rows where the condition evaluates to TRUE are kept. Rows where the condition evaluates to NA are dropped.

If an empty sts object is passed in, it is immediately returned, allowing for multiple filtering steps to be piped together and only checking for an empty sts object at the end of the pipeline.

Usage

sts_filter(sts, ...)

Value

A subset of the incoming sts time series object. (A list with meta and data dataframes.)

Arguments

sts

sts object.

...

Logical predicates defined in terms of the variables in sts$data.

See Also

sts_filterDate

sts_filterDatetime

Examples

library(MazamaTimeSeries)

unhealthy <- sts_filter(example_sts, pm25_A > 55.5, pm25_B > 55.5)
head(unhealthy$data)