tbr_sum

a data frame with at least two variables; time column formatted
as date, date/time and value column.

.tbl

column containing the values to calculate the sum.

tcolumn

character, one of "years", "months", "weeks", "days", "hours",
"minutes", "seconds"

unit

numeric, describing the length of the time window.

logical. Should missing values be removed?

na.rm

Provides rolling statistical functions based
on date and time windows instead of n-lagged observations.

Michael Schramm

tbrf

Time-Based Rolling Functions

Frank Harrell

tbr_sum function

<dl><dt>.tbl</dt>
<dd>a data frame with at least two variables; time column formatted
as date, date/time and value column.</dd>
<dt>x</dt>
<dd>column containing the values to calculate the sum.</dd>
<dt>tcolumn</dt>
<dd>formatted time column.</dd>
<dt>unit</dt>
<dd>character, one of "years", "months", "weeks", "days", "hours",
"minutes", "seconds"</dd>
<dt>n</dt>
<dd>numeric, describing the length of the time window.</dd>
<dt>na.rm</dt>
<dd>logical. Should missing values be removed?</dd></dl>

Arguments

Time-Based Rolling Sum — tbr_sum

<dl>

<dt>.tbl</dt>
<dd>a data frame with at least two variables; time column formatted
as date, date/time and value column.</dd>


<dt>x</dt>
<dd>column containing the values to calculate the sum.</dd>


<dt>tcolumn</dt>
<dd>formatted time column.</dd>


<dt>unit</dt>
<dd>character, one of "years", "months", "weeks", "days", "hours",
"minutes", "seconds"</dd>


<dt>n</dt>
<dd>numeric, describing the length of the time window.</dd>


<dt>na.rm</dt>
<dd>logical. Should missing values be removed?</dd>

</dl>

tbr_sum: Time-Based Rolling Sum

Description

Usage

Value

Arguments

See Also

Examples