fill_dates: Fill Implicitly Missing Dates in a Time-Indexed Data Frame
In jesse-smith/coviData: COVID-19 Data Munging Tools for the Shelby County Health Department
fill_dates R Documentation
Fill Implicitly Missing Dates in a Time-Indexed Data Frame
Description
fill_date() finds implicitly missing observations in a time-indexed data
frame and fills them with fill_na. start and end values can be supplied
to fill dates outside the range of the data.
Usage
fill_dates(data, date_col, start = NULL, end = NULL, fill_na = NA)
Arguments
data
A data frame or data frame extension (e.g. a tibble)
date_col
The column to use as the time index
start
An optional start date for the period to fill
end
An optional end date for the period to fill
fill_na
The value to use when creating observations for implicitly
missing data
Value
A tibble
jesse-smith/coviData documentation built on Jan. 14, 2023, 11:08 a.m.
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| fill_dates | R Documentation |
Fill Implicitly Missing Dates in a Time-Indexed Data Frame
Description
fill_date() finds implicitly missing observations in a time-indexed data
frame and fills them with fill_na. start and end values can be supplied
to fill dates outside the range of the data.
Usage
fill_dates(data, date_col, start = NULL, end = NULL, fill_na = NA)
Arguments
data |
A data frame or data frame extension (e.g. a tibble) |
date_col |
The column to use as the time index |
start |
An optional start date for the period to fill |
end |
An optional end date for the period to fill |
fill_na |
The value to use when creating observations for implicitly missing data |
Value
A tibble
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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