Joins two DTSg objects based on their .dateTime column. Their time
zones and aggregated fields must match.
# S3 method for DTSg
merge(x, y, ..., clone = getOption("DTSgClone"))A DTSg object (S3 method only).
A DTSg object or an object coercible to one. See new for
further information.
Further arguments passed on to data.table::merge. As the
by, by.x and by.y arguments can endanger the object's integrity, they
are rejected.
A logical specifying if the object shall be modified in place or if a deep clone (copy) shall be made beforehand.
Returns a DTSg object.
# new DTSg object
x <- DTSg$new(values = flow)
# merge with 'data.table'
## R6 method
x$merge(
y = flow,
suffixes = c("_1", "_2")
)$print()
#> Values:
#> .dateTime flow_1 flow_2
#> <POSc> <num> <num>
#> 1: 2007-01-01 9.540 9.540
#> 2: 2007-01-02 9.285 9.285
#> 3: 2007-01-03 8.940 8.940
#> 4: 2007-01-04 8.745 8.745
#> 5: 2007-01-05 8.490 8.490
#> ---
#> 2188: 2012-12-27 26.685 26.685
#> 2189: 2012-12-28 28.050 28.050
#> 2190: 2012-12-29 23.580 23.580
#> 2191: 2012-12-30 18.840 18.840
#> 2192: 2012-12-31 17.250 17.250
#>
#> Aggregated: FALSE
#> Regular: TRUE
#> Periodicity: Time difference of 1 days
#> Missing values: explicit
#> Time zone: UTC
#> Timestamps: 2192
## S3 method
print(merge(
x = x,
y = flow,
suffixes = c("_1", "_2")
))
#> Values:
#> .dateTime flow_1 flow_2
#> <POSc> <num> <num>
#> 1: 2007-01-01 9.540 9.540
#> 2: 2007-01-02 9.285 9.285
#> 3: 2007-01-03 8.940 8.940
#> 4: 2007-01-04 8.745 8.745
#> 5: 2007-01-05 8.490 8.490
#> ---
#> 2188: 2012-12-27 26.685 26.685
#> 2189: 2012-12-28 28.050 28.050
#> 2190: 2012-12-29 23.580 23.580
#> 2191: 2012-12-30 18.840 18.840
#> 2192: 2012-12-31 17.250 17.250
#>
#> Aggregated: FALSE
#> Regular: TRUE
#> Periodicity: Time difference of 1 days
#> Missing values: explicit
#> Time zone: UTC
#> Timestamps: 2192