SwimmeR (version 0.14.2)

splits_to_cumulative: Converts splits from lap to cumulative format

Description

Cumulative splits are when each split is the total elapsed time at a given distance. For example, if an athlete swims the first 50 of a 200 yard race in 25.00 seconds (lap and cumulative split), and the second 50 (i.e. the 100 lap split) in 30.00 seconds the cumulative 100 split is 25.00 + 30.00 = 55.00. Some swimming results are reported with lap splits (preferred), but others use cumulative splits. This function converts lap splits to cumulative splits.

Usage

splits_to_cumulative(df, threshold = Inf)

Value

a data frame with all splits in lap form

Arguments

df

a data frame containing results with splits in lap format. Must be formatted in a "normal" SwimmeR fashion - see vignette

threshold

a numeric value above which a split is taken to be cumulative. Default is Inf

See Also

splits_to_cumulative is the reverse of splits_to_lap

Examples

if (FALSE) {
df <- data.frame(Place = rep(1, 2),
                Name = c("Lenore Lap", "Casey Cumulative"),
                Team = rep("KVAC", 2),
                Event = rep("Womens 200 Freestyle", 2),
                Finals = rep("1:58.00", 2),
                Split_50 = rep("28.00", 2),
                Split_100 = c("31.00", "59.00"),
                Split_150 = c("30.00", "1:29.00"),
                Split_200 = c("29.00", "1:58.00")
               )

 # since one entry is in lap time and the other is cumulative, need to
 # set threshold value

 # not setting threshold will produce bad results by attempting to convert
 # Casey Cumulative's splits, which are already in cumulative
 # format, into cumulative format again

 df %>%
   splits_to_cumulative()

 df %>%
   splits_to_cumulative(threshold = 20)

 }