daily2monthly: (sub)Daily -> Monthly

In hydroTSM: Time Series Management, Analysis and Interpolation for Hydrological Modelling

Description

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

Usage

daily2monthly(x, ...)
subdaily2monthly(x, ...)

## Default S3 method:
daily2monthly(x, FUN, na.rm = TRUE, ...)

## S3 method for class 'zoo'
daily2monthly(x, FUN, na.rm = TRUE, ...)

## S3 method for class 'data.frame'
daily2monthly(x, FUN, na.rm = TRUE, dates=1, date.fmt = "%Y-%m-%d", 
        out.type = "data.frame", out.fmt="numeric", verbose = TRUE, ...)

## S3 method for class 'matrix'
daily2monthly(x, FUN, na.rm = TRUE, dates=1, date.fmt = "%Y-%m-%d", 
        out.type = "data.frame", out.fmt="numeric", verbose = TRUE, ...)

Arguments

x	zoo, xts, data.frame or matrix object, with daily/monthly 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 represent 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 annual time step. (e.g., for precipitation FUN=sum and for temperature and streamflow ts, FUN=mean).
na.rm	Logical. Should missing values be removed? -) TRUE : the monthly and annual values are computed considering only those values different from NA -) FALSE: if there is AT LEAST one NA within a year, the monthly values are NA
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 dates are stored in dates, e.g. %Y-%m-%d. See format in as.Date. ONLY required when class(dates)=="factor" or class(dates)=="numeric".
out.type	Character that defines the desired type of output. Valid values are: -) data.frame: a data.frame, with as many columns as stations are included in x, and row names indicating the month and year for each value. -) db : a data.frame, with 4 columns will be produced. The first column (StationID) stores the ID of the station, The second column (Year) stores the year The third column (Month) stores the Month The fourth column (Value) stores the numerical values corresponding to the values specified in the three previous columns.
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
...	further arguments passed to or from other methods.

Author(s)

Mauricio Zambrano-Bigiarini, mzb.devel@gmail

See Also

daily2annual, subdaily2daily, monthlyfunction, hydroplot, vector2zoo, izoo2rzoo, as.Date

Examples

######################
## Ex1: Loading the DAILY precipitation data at SanMartino
data(SanMartinoPPts)
x <- SanMartinoPPts

## Daily to monthly
m <- daily2monthly(x, FUN=sum, na.rm=TRUE)

######################
## Ex2: Loading the time series of HOURLY streamflows for the station Karamea at Gorge
data(KarameaAtGorgeQts)
x <- KarameaAtGorgeQts

# Sub-daily to monthly ts
subdaily2monthly(x, FUN=mean, na.rm=TRUE)

Example output

Loading required package: zoo

Attaching package: 'zoo'

The following objects are masked from 'package:base':

    as.Date, as.Date.numeric

Loading required package: xts
1980-01-01 1980-02-01 1980-03-01 1980-04-01 1980-05-01 1980-06-01 1980-07-01 
 193.48101  124.59784  111.72742   96.15687  170.14073   93.39875   87.06478 
1980-08-01 1980-09-01 1980-10-01 1980-11-01 1980-12-01 1981-01-01 1981-02-01 
 221.00390  303.89805  131.88871  177.14708   67.89597   31.45538   55.75491 
1981-03-01 1981-04-01 1981-05-01 1981-06-01 1981-07-01 1981-08-01 1981-09-01 
  52.19208   91.63181  111.87083  121.66319  191.75914   86.65860  246.17775 
1981-10-01 1981-11-01 1981-12-01 1982-01-01 1982-02-01 1982-03-01 1982-04-01 
 172.18696  144.67986  130.62594  109.69355   82.35387   44.03114   37.67403 
1982-05-01 1982-06-01 1982-07-01 1982-08-01 1982-09-01 1982-10-01 1982-11-01 
 180.64543   97.25056  124.67661  129.30094  163.63686   88.76411  183.51375 
1982-12-01 1983-01-01 1983-02-01 1983-03-01 1983-04-01 1983-05-01 1983-06-01 
 203.08522  169.69261   55.97187  106.25866  183.41042  259.11532  126.82847 
1983-07-01 1983-08-01 1983-09-01 1983-10-01 1983-11-01 1983-12-01 1984-01-01 
 118.27957   88.98347  170.80515  164.64758  101.03653   95.98454   59.49462 
1984-02-01 1984-03-01 1984-04-01 1984-05-01 1984-06-01 1984-07-01 1984-08-01 
  34.18764   45.79893   89.62528   98.47554   95.05014  146.89059  162.90618 
1984-09-01 1984-10-01 1984-11-01 1984-12-01 1985-01-01 1985-02-01 1985-03-01 
  82.85535  203.88938   72.95866   90.95488  134.55726   52.02158   30.67732 
1985-04-01 1985-05-01 1985-06-01 1985-07-01 1985-08-01 1985-09-01 1985-10-01 
  86.66139   41.30780   81.62736  107.78078   88.77110  129.94325   64.47742 
1985-11-01 1985-12-01 
 106.80361  153.62654 

hydroTSM documentation built on March 13, 2020, 2:23 a.m.