subdaily2weekly: Subdaily -> Weekly
In hydroTSM: Time Series Management and Analysis for Hydrological Modelling

subdaily2weekly

R Documentation

Subdaily -> Weekly

Description

Generic function for transforming a DAILY (or sub-daily) regular time series into a WEEKLY one

Usage

subdaily2weekly(x, ...)

## Default S3 method:
subdaily2weekly(x, FUN, na.rm=TRUE, na.rm.max=0,
           start="00:00:00", start.fmt= "%H:%M:%S", tz, ...)

## S3 method for class 'zoo'
subdaily2weekly(x, FUN, na.rm=TRUE, na.rm.max=0,
           start="00:00:00", start.fmt= "%H:%M:%S", tz, ...)

## S3 method for class 'data.frame'
subdaily2weekly(x, FUN, na.rm=TRUE, na.rm.max=0,
           start="00:00:00", start.fmt= "%H:%M:%S", tz,
           dates=1, date.fmt = "%Y-%m-%d %H:%M:%S",  
           out.fmt="zoo", verbose=TRUE, ...)

## S3 method for class 'matrix'
subdaily2weekly(x, FUN, na.rm=TRUE, na.rm.max=0,
           start="00:00:00", start.fmt= "%H:%M:%S", tz,
           dates=1, date.fmt = "%Y-%m-%d %H:%M:%S",  
           out.fmt="zoo", verbose=TRUE, ...)

Arguments

`x`	zoo, data.frame or matrix object, with (sub)daily time series. Measurements at several gauging stations can be stored in a data.frame or matrix object, and in that case, each column of `x` represents the time series measured in each gauging station, and the column names of `x` have to correspond to the ID of each station (starting by a letter).
`FUN`	Function that have to be applied for transforming from daily to weekly time step (e.g., for precipitation `FUN=sum` and for temperature and streamflow ts `FUN=mean`). `FUN` MUST accept the `na.rm` argument, because `na.rm` is passed to `FUN`.
`na.rm`	Logical. Should missing values be removed? -) `TRUE` : the weekly values are computed only for weeks with a percentage of missing values less than `na.rm.max` -) `FALSE`: if there is AT LEAST one NA within a month, the corresponing weekly values in the output object will be `NA`.
`na.rm.max`	Numeric in [0, 1]. It is used to define the maximum percentage of missing values allowed in each week to keep the weekly aggregated value in the output object of this function. In other words, if the percentage of missing values in a given week is larger than `na.rm.max` the corresponding weekly value will be `NA`.
`start`	character, indicating the starting time used for aggregating sub-daily time series into daily ones. It MUST be provided in the format specified by `start.fmt`. This value is used to define the time when a new day begins (e.g., for some rain gauge stations). -) All the values of `x` with a time attribute before `start` are considered as belonging to the day before the one indicated in the time attribute of those values. -) All the values of `x` with a time attribute equal to `start` are considered to be equal to `"00:00:00"` in the output zoo object. -) All the values of `x` with a time attribute after `start` are considered as belonging to the same day as the one indicated in the time attribute of those values. It is useful when the daily values start at a time different from `"00:00:00"`. Use with caution. See examples.
`start.fmt`	character indicating the format in which the time is provided in `start`, By default `date.fmt=%H:%M:%S`. See `format` in `as.POSIXct`.
`tz`	character, with the specification of the time zone used in both `x` and `start`. System-specific (see time zones), but `""` is the current time zone, and `"GMT"` is UTC (Universal Time, Coordinated). See `Sys.timezone` and `as.POSIXct`. If `tz` is missing (the default), it is automatically set to the time zone used in `time(x)`. This argument can be used to force using the local time zone or any other time zone instead of UTC as time zone.
`dates`	numeric, factor or Date object indicating how to obtain the dates for each gauging station If `dates` is a number (default), it indicates the index of the column in `x` that stores the dates If `dates` is a factor, it is converted into Date class, using the date format specified by `date.fmt` If `dates` is already of Date class, the code verifies that the number of days on it be equal to the number of elements in `x`
`date.fmt`	character indicating the format in which the DateTime objects are stored in `dates`, e.g. `%Y-%m-%d %H:%M:%S`. See `format` in `as.POSIXct`. ONLY required when `class(dates)=="factor"` or `class(dates)=="numeric"`.
`out.fmt`	OPTIONAL. Only used when `x` is a matrix or data.frame object /cr character, for selecting if the result will be a matrix/data.frame or a zoo object. Valid values are: `numeric`, `zoo`.
`verbose`	logical; if TRUE, progress messages are printed
`...`	arguments additional to `na.rm` passed to `FUN`.

Value

a zoo object with weekly time frequency

Author(s)

Mauricio Zambrano-Bigiarini, mzb.devel@gmail

Examples


######################
## Ex1: Computation of WEEKLY values from HOURLY ts, only when the percentage of NAs in 
#       each week is lower than a user-defined percentage (10% in this example).

## Loading the HOURLY streamflows for the station Karamea at Gorge
data(KarameaAtGorgeQts)
x <- KarameaAtGorgeQts

# Subsetting 'x' to its first three weeks 
# (31-December-1979 to 31-March-1980)
x <- window(x, end="1980-03-31 23:59:00")

## Transforming into NA the 10% of values in 'x'
set.seed(10) # for reproducible results
n           <- length(x)
n.nas       <- round(0.1*n, 0)
na.index    <- sample(1:n, n.nas)
x[na.index] <- NA

## Daily to Weekly, only for weeks with less than 10% of missing values
( w2 <- subdaily2weekly(x, FUN=sum, na.rm=TRUE, na.rm.max=0.1) )

# Verifying that the second and third month of 'x' had 10% or more of missing values
cmv(x, tscale="weekly")

## Not run: 
######################
## Ex2: Computation of WEEKLY values from HOURLY ts, removing any missing value in 'x'
#       Loading the HOURLY streamflows for the station Karamea at Gorge
data(KarameaAtGorgeQts)
x <- KarameaAtGorgeQts

# Sub-daily to weekly ts
subdaily2weekly(x, FUN=mean, na.rm=TRUE)

## End(Not run)

hydroTSM documentation built on April 28, 2026, 9:07 a.m.