If the sample dates and times are outside the precip data, it repeats the last known result for the remaining sample observations. In this example it repeated row 18 through row 96, which was the length of dfsamples.
#' Initial set up
library(Rainmaker)
setwd("H:/Projects/Judy/Initial_Loss")
#' Load and prep rainfall dataframe
fileName <- "../Desktop/test/sca_09a_rdb_"
fileName2 <- "../Desktop/test/sca_09b_rdb_"
precip_raw <- read.csv(file = fileName,sep = "",skip = 2,col.names = c("Date", "Time", "rain", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13"))
precip_raw2 <- read.csv(file = fileName2,sep = "",skip = 2,col.names = c("Date", "Time", "rain", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13"))
precip_prep <- RMprep(df=precip_raw2,prep.type = 1,date.type = 5)
#' Load and prep dataframe with the beginning and ending dates and times of sampling periods in POSIXct format
fileName_samples <- "../Desktop/test/bio_sites_hydrovol_09_10.csv"
samples_raw <- read.csv(fileName_samples,FALSE,col.names = c("start", "end", "one"))
samples_prep_bdate <- RMprep(samples_raw, dates.in = "start", dates.out = "bdate")
samples_prep_edate <- RMprep(samples_raw, dates.in = "end", dates.out = "edate")
samples_prep <- data.frame("bpdate" = samples_prep_bdate$bdate, "epdate" = samples_prep_edate$edate)
#' Run RMevents_sample
precip_events <- RMevents_sample(df=precip_prep, ieHr = 6, rain = "rain", time = "pdate", dfsamples=samples_prep,
bdate = "bpdate", edate = "epdate")
precip_event_list <- precip_events$storms2
If the sample dates and times are outside the precip data, it repeats the last known result for the remaining sample observations. In this example it repeated row 18 through row 96, which was the length of dfsamples.
