Last chance! 50% off unlimited learning
Sale ends in
Using raw data that has at least dateTime, value, code, populates the rest of the basic Daily data frame used in EGRET analysis.
populateDaily(rawData, qConvert, verbose = TRUE)A data frame 'Daily' with the following columns:
| Name | Type | Description |
| Q | numeric | Discharge in m^3/s |
| Julian | integer | Number of days since Jan. 1, 1850 |
| Month | integer | Month of the year [1-12] |
| Day | integer | Day of the year [1-366] |
| DecYear | numeric | Decimal year |
| MonthSeq | integer | Number of months since January 1, 1850 |
| Qualifier | character | Qualifying code |
| i | integer | Index of days, starting with 1 |
| LogQ | numeric | Natural logarithm of Q |
| Q7 | numeric | 7 day running average of Q |
| Q30 | numeric | 30 day running average of Q |
dataframe contains at least dateTime, value, code columns
character conversion to cubic meters per second
logical specifying whether or not to display progress message
Robert M. Hirsch rhirsch@usgs.gov
readNWISDaily, readUserDaily
dateTime <- as.character(seq(as.Date("2001/1/1"),
as.Date("2001/12/31"), by = "day"))
value <- 1:365
code <- rep("",365)
dataInput <- data.frame(dateTime, value, code, stringsAsFactors=FALSE)
Daily <- populateDaily(dataInput, 2)
Run the code above in your browser using DataLab