Bind 'timeSeries' objects by column or row

Binds "timeSeries" objects either by column or by row.

Usage

# S3 method for timeSeries
cbind(..., deparse.level = 1)
# S3 method for timeSeries
rbind(..., deparse.level = 1)

# S4 method for timeSeries,ANY
cbind2(x, y)
## other methods for 'cbind2' with the same arguments, see Details

# S4 method for timeSeries,ANY
rbind2(x, y)
## other methods for 'rbind2' with the same arguments, see Details

Arguments

x, y

objects, at least one of whom is of class "timeSeries".

...

further arguments to bind.

deparse.level

see the documentation of base::cbind.

Details

These functions bind the objects by row rXXX or column (cXXX.

cbind and rbind are S3 generics, so the "timeSeries" methods describe here are called only when the first argument is "timeSeries".

cbind2 and rbind2 are S4 generics which dispatch on the first two arguments. The "timeSeries" methods for these are invoked whenever at least one of the first two arguments is of class "timeSeries".

All functions can be called with more than two arguments. After the first two are merged, the result is merged with the third, and so on.

Value

an object of class "timeSeries"

See also

merge for another way to merge "timeSeries" object column-wise.

rbind and cbind from base R,

rbind2 and cbind2 from package "methods",

Examples

## Load Microsoft Data Set -
   x <- MSFT[1:12, ]
   x
#> GMT 
#>               Open    High     Low   Close   Volume
#> 2000-09-27 63.4375 63.5625 59.8125 60.6250 53077800
#> 2000-09-28 60.8125 61.8750 60.6250 61.3125 26180200
#> 2000-09-29 61.0000 61.3125 58.6250 60.3125 37026800
#> 2000-10-02 60.5000 60.8125 58.2500 59.1250 29281200
#> 2000-10-03 59.5625 59.8125 56.5000 56.5625 42687000
#> 2000-10-04 56.3750 56.5625 54.5000 55.4375 68226700
#> 2000-10-05 55.5000 57.2500 55.2500 55.3750 40549700
#> 2000-10-06 55.8125 56.7500 54.7500 55.5625 30897000
#> 2000-10-09 55.6250 55.7500 53.0000 54.1875 29161800
#> 2000-10-10 53.9375 55.5625 53.8125 54.5625 31033100
#> 2000-10-11 54.0000 56.9375 54.0000 55.7500 50602900
#> 2000-10-12 56.3125 56.8750 53.8125 54.3750 45109800

## Bind Columnwise -
   X <- cbind(x[, "Open"], returns(x[, "Open"]))
   colnames(X) <- c("Open", "Return")
   X
#> GMT 
#>               Open       Return
#> 2000-09-27 63.4375           NA
#> 2000-09-28 60.8125 -0.042259809
#> 2000-09-29 61.0000  0.003078504
#> 2000-10-02 60.5000 -0.008230499
#> 2000-10-03 59.5625 -0.015617184
#> 2000-10-04 56.3750 -0.055000384
#> 2000-10-05 55.5000 -0.015642777
#> 2000-10-06 55.8125  0.005614838
#> 2000-10-09 55.6250 -0.003365118
#> 2000-10-10 53.9375 -0.030806772
#> 2000-10-11 54.0000  0.001158078
#> 2000-10-12 56.3125  0.041932489

## Bind Rowwise - 
   Y <- rbind(x[1:3, "Open"], x[10:12, "Open"])
   Y
#> GMT 
#>            Open_Open
#> 2000-09-27   63.4375
#> 2000-09-28   60.8125
#> 2000-09-29   61.0000
#> 2000-10-10   53.9375
#> 2000-10-11   54.0000
#> 2000-10-12   56.3125