Description Usage Arguments Details Value Author(s) See Also Examples
It takes an irregular zoo object (with non-existing values for some dates) and converts it into a regularly spaced zoo object within the time period defined by from
and to
, by filling the missing dates with ‘NA’
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x |
irregular zoo object (vector or matrix) representing a time series (very likely read with some user-defined procedure, and with some missing values for particular days/months/years) |
from |
Character indicating the starting date for creating the regularly spaced zoo object. The default value corresponds to the date of the first element of |
to |
Character indicating the ending date for creating the regularly spaced zoo object. The default value corresponds to the date of the last element of |
date.fmt |
character indicating the format in which the dates are stored in |
tstep |
character, indicating the time step used for creating the time sequence going from |
... |
further arguments passed to or from other methods |
If the full time period of x
is a subset of the time period defined by from
and to
, the time period of the resulting zoo is the one defined by from
and to
, assigning 'NA' to all the dates in which x
do not have a value.
a regularly spaced zoo object, with values given by x
and time stamps going from from
to to
at intervals defined by tsteps
Mauricio Zambrano-Bigiarini, mzb.devel@gmail
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## Example 1: Adding NA for February 29th to an existing zoo object
# dummy values and dates (February 29th is not present !)
x <- 1:9
dates <- c("1964-02-25", "1964-02-26", "1964-02-27", "1964-02-28", "1964-03-01",
"1964-03-02", "1964-03-03", "1964-03-04", "1964-03-05")
# From 'character' to 'Date' class
dates <- as.Date(dates)
## From 'numeric' to 'zoo' class
x <- zoo(x, dates) # Feb 29th is still missing
## Adding a missing value (NA in this case) for Feb 29th
y <- izoo2rzoo(x)
## checking the new length
length(y) # 1 element more than the original 'x' (Feb 29th)
##
## Example 2: Extending the original 'x' object from February 1st to the end of
# March, assigning 'NA' to the days in which 'x' do not have a value.
y <- izoo2rzoo(x, from="1964-02-01", to="1964-03-31")
##
## Example 3: Working with a zoo matrix
Y <- cbind(x,x)
# Adding a missing value (NA in this case) for Feb 29th in all the columns of Y
rY <- izoo2rzoo(Y, from="1964-02-25", to="1964-03-05")
##
## Example 4: Working with hourly data, from 01:00 to 10:00 on 12th December 2000
dates <- ISOdatetime(2000, 12, 12, 1:10, 0, 0)
values <- 1:10
x <- zoo(values, dates)
# removing values from 02:00 to 05:00 (not present at all in 'x', not even NA !)
x <- x[-c(2:5)]
# Adding missing values (NA in this case) from 02:00 to 05:00
y <- izoo2rzoo(x, date.fmt="%Y-%m-%d %H:%M:%S", tstep="hours")
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