tbr_sd

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 standard deviation.

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

Time-Based Rolling Standard Deviation

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_sd 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 standard deviation.</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 Standard Deviation — tbr_sd

<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 standard deviation.</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_sd: Time-Based Rolling Standard Deviation

Description

Usage

Value

Arguments

See Also

Examples