tbr_sum: Time-Based Rolling Sum

In tbrf: Time-Based Rolling Functions

Description

Time-Based Rolling Sum

Usage

tbr_sum(.tbl, x, tcolumn, unit = "years", n, na.rm = FALSE)

Arguments

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

Value

dataframe with column for the rolling sum.

See Also

sum

Examples

tbr_sum(Dissolved_Oxygen, x = Average_DO, tcolumn = Date, unit = "years", n =
5)

Example output

# A tibble: 236 x 7
   Station_ID Date       Param_Code Param_Desc           Average_DO Min_DO   sum
        <int> <date>     <chr>      <chr>                     <dbl>  <dbl> <dbl>
 1      12515 2000-01-03 00300      OXYGEN, DISSOLVED (~       6.19   6.19  6.19
 2      12515 2000-03-14 00300      OXYGEN, DISSOLVED (~       6.7    6.7  20.2 
 3      12517 2000-03-14 00300      OXYGEN, DISSOLVED (~       7.3    7.3  20.2 
 4      12515 2000-03-16 00300      OXYGEN, DISSOLVED (~       6.41   6.41 26.6 
 5      12515 2000-05-03 00300      OXYGEN, DISSOLVED (~       4.42   4.42 31.0 
 6      12517 2000-06-14 00300      OXYGEN, DISSOLVED (~       5.74   5.74 36.8 
 7      12515 2000-06-15 00300      OXYGEN, DISSOLVED (~       4.86   4.86 41.6 
 8      12515 2000-07-11 00300      OXYGEN, DISSOLVED (~       4.48   4.48 46.1 
 9      12515 2000-09-12 00300      OXYGEN, DISSOLVED (~       5.64   5.64 51.7 
10      12517 2000-10-17 00300      OXYGEN, DISSOLVED (~       7.96   7.96 59.7 
# ... with 226 more rows

tbrf documentation built on April 14, 2020, 7:10 p.m.