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Get the input raw time series

Source: R/import_workspace.R
get_ts.Rd

Generic functions to retrieve the input raw time series of a workspace, multiprocessing, sa_item or SA object.

Usage

get_ts(x)

Arguments

x

the object from which to retrieve the time series.

Value

get_ts() returns a ts object or list of ts objects:

  • if x is a sa_item or a SA object, get_ts(x) returns a single ts object;

  • if x is a multiprocessing object, get_ts(x) returns a list of length the number of sa_items, each element being a ts object;

  • if x is a workspace object, get_ts(x) returns a list of length the number of multiprocessings, each element being a list of ts objects.

See also

Other functions to retrieve information from a workspace, multiprocessing or sa_item: count, get_model, get_name.

Examples

# \donttest{
sa_x13 <- x13(ipi_c_eu[, "FR"], spec = "RSA5c")

wk <- new_workspace()
mp <- new_multiprocessing(wk, "sap1")
add_sa_item(wk, "sap1", sa_x13, "X13")
sa_item <- get_object(mp, 1)

  # Extracting the raw time series from an adjusted series:
get_ts(sa_x13) # Returns the ts object ipi_c_eu[, "FR"]
#>        Jan   Feb   Mar   Apr   May   Jun   Jul   Aug   Sep   Oct   Nov   Dec
#> 1990  92.1  92.3 102.1  93.0  93.3 100.8  92.9  66.7  95.8 105.0  96.7  89.2
#> 1991  92.5  89.2  97.4  93.8  87.5 100.3  93.4  64.3  96.9 103.5  94.0  92.1
#> 1992  90.7  89.0  99.4  93.7  86.1 101.3  90.4  62.9  96.6  98.4  91.9  92.6
#> 1993  82.3  84.0  95.6  88.3  82.2  97.9  85.5  61.3  93.7  93.0  88.3  92.1
#> 1994  83.6  83.7  97.0  88.3  88.3 102.9  87.3  65.9  98.2  98.0  96.8  98.0
#> 1995  91.8  90.1 102.9  90.4  91.6 103.7  90.6  66.8  98.7 101.4  97.2  94.8
#> 1996  92.0  91.1  98.1  94.3  90.5 101.8  96.1  66.3  98.9 105.0  95.0  96.0
#> 1997  91.9  91.3  99.1 102.8  93.2 108.2 100.4  70.5 107.3 114.1  99.6 106.7
#> 1998  98.2  98.7 109.3 103.7  97.6 114.7 106.1  72.1 111.5 112.6 105.6 107.4
#> 1999  97.2  98.3 114.5 104.8  99.9 120.2 105.7  76.1 115.2 115.1 111.1 114.0
#> 2000 103.4 107.5 121.7 105.7 113.1 119.4 108.1  82.0 116.4 121.3 117.2 111.9
#> 2001 110.7 108.9 124.0 109.3 109.8 121.9 112.4  85.5 114.1 123.4 114.2 104.9
#> 2002 108.4 106.7 118.5 113.4 105.6 119.2 113.9  81.4 115.6 121.7 111.0 105.2
#> 2003 106.9 105.4 117.1 112.0 101.5 115.2 111.2  75.7 117.5 122.4 107.8 109.3
#> 2004 104.7 106.7 122.8 112.7 104.5 126.5 111.1  79.7 121.9 118.8 112.2 112.6
#> 2005 107.6 106.3 118.8 113.7 109.7 125.0 106.4  81.7 123.0 115.1 115.5 111.6
#> 2006 108.8 105.9 124.8 108.0 113.1 126.7 108.7  84.1 121.0 121.5 116.6 108.2
#> 2007 111.5 109.6 124.0 111.7 111.7 126.6 116.6  87.1 117.3 127.2 118.0 106.5
#> 2008 113.2 114.4 117.5 120.2 107.6 121.4 115.1  78.8 118.9 118.8  99.5  99.2
#> 2009  90.7  90.1 100.0  93.9  88.3 105.5  97.9  70.3 106.5 104.7  99.0  95.2
#> 2010  90.3  93.1 109.5 100.4  95.5 111.8 100.8  74.5 109.0 105.0 102.7 101.9
#> 2011  99.0 101.6 115.3 101.6 110.1 108.5 101.0  78.3 110.0 106.4 106.3 100.2
#> 2012  99.3  99.9 110.3  99.8  96.1 108.5 103.8  78.8 102.9 107.6 101.9  91.5
#> 2013  96.3  95.7 103.9 103.4  96.2 105.5 105.2  73.4 103.3 109.3  99.0  94.6
#> 2014  96.8  97.1 104.9 102.9  92.4 104.8 103.3  71.5 107.2 107.7  95.5  98.4
#> 2015  94.6  96.1 108.4 102.4  91.0 111.8 101.1  76.1 109.1 107.7 101.8  99.9
#> 2016  95.1  99.6 108.3 103.3  98.6 110.3  95.8  79.7 107.9 103.4 104.7  99.7
#> 2017  98.9  97.1 114.5  98.0 102.7 111.4  99.5  81.4 108.2 113.2 111.0  99.5
#> 2018 101.8  98.6 112.9 103.0  98.7 112.8 106.6  82.6 104.7 116.0 109.6  97.6
#> 2019 103.8 102.0 111.6 107.2 105.2 106.0 109.8  78.8 109.0 116.5 104.0  97.8
#> 2020 101.0 100.1  91.8  66.7  73.7  98.2  97.4  71.7 104.7 106.7 101.6  96.6

  # Extracting the raw time series from a sa_item:
get_ts(sa_item) # Returns the ts object ipi_c_eu[, "FR"]
#>        Jan   Feb   Mar   Apr   May   Jun   Jul   Aug   Sep   Oct   Nov   Dec
#> 1990  92.1  92.3 102.1  93.0  93.3 100.8  92.9  66.7  95.8 105.0  96.7  89.2
#> 1991  92.5  89.2  97.4  93.8  87.5 100.3  93.4  64.3  96.9 103.5  94.0  92.1
#> 1992  90.7  89.0  99.4  93.7  86.1 101.3  90.4  62.9  96.6  98.4  91.9  92.6
#> 1993  82.3  84.0  95.6  88.3  82.2  97.9  85.5  61.3  93.7  93.0  88.3  92.1
#> 1994  83.6  83.7  97.0  88.3  88.3 102.9  87.3  65.9  98.2  98.0  96.8  98.0
#> 1995  91.8  90.1 102.9  90.4  91.6 103.7  90.6  66.8  98.7 101.4  97.2  94.8
#> 1996  92.0  91.1  98.1  94.3  90.5 101.8  96.1  66.3  98.9 105.0  95.0  96.0
#> 1997  91.9  91.3  99.1 102.8  93.2 108.2 100.4  70.5 107.3 114.1  99.6 106.7
#> 1998  98.2  98.7 109.3 103.7  97.6 114.7 106.1  72.1 111.5 112.6 105.6 107.4
#> 1999  97.2  98.3 114.5 104.8  99.9 120.2 105.7  76.1 115.2 115.1 111.1 114.0
#> 2000 103.4 107.5 121.7 105.7 113.1 119.4 108.1  82.0 116.4 121.3 117.2 111.9
#> 2001 110.7 108.9 124.0 109.3 109.8 121.9 112.4  85.5 114.1 123.4 114.2 104.9
#> 2002 108.4 106.7 118.5 113.4 105.6 119.2 113.9  81.4 115.6 121.7 111.0 105.2
#> 2003 106.9 105.4 117.1 112.0 101.5 115.2 111.2  75.7 117.5 122.4 107.8 109.3
#> 2004 104.7 106.7 122.8 112.7 104.5 126.5 111.1  79.7 121.9 118.8 112.2 112.6
#> 2005 107.6 106.3 118.8 113.7 109.7 125.0 106.4  81.7 123.0 115.1 115.5 111.6
#> 2006 108.8 105.9 124.8 108.0 113.1 126.7 108.7  84.1 121.0 121.5 116.6 108.2
#> 2007 111.5 109.6 124.0 111.7 111.7 126.6 116.6  87.1 117.3 127.2 118.0 106.5
#> 2008 113.2 114.4 117.5 120.2 107.6 121.4 115.1  78.8 118.9 118.8  99.5  99.2
#> 2009  90.7  90.1 100.0  93.9  88.3 105.5  97.9  70.3 106.5 104.7  99.0  95.2
#> 2010  90.3  93.1 109.5 100.4  95.5 111.8 100.8  74.5 109.0 105.0 102.7 101.9
#> 2011  99.0 101.6 115.3 101.6 110.1 108.5 101.0  78.3 110.0 106.4 106.3 100.2
#> 2012  99.3  99.9 110.3  99.8  96.1 108.5 103.8  78.8 102.9 107.6 101.9  91.5
#> 2013  96.3  95.7 103.9 103.4  96.2 105.5 105.2  73.4 103.3 109.3  99.0  94.6
#> 2014  96.8  97.1 104.9 102.9  92.4 104.8 103.3  71.5 107.2 107.7  95.5  98.4
#> 2015  94.6  96.1 108.4 102.4  91.0 111.8 101.1  76.1 109.1 107.7 101.8  99.9
#> 2016  95.1  99.6 108.3 103.3  98.6 110.3  95.8  79.7 107.9 103.4 104.7  99.7
#> 2017  98.9  97.1 114.5  98.0 102.7 111.4  99.5  81.4 108.2 113.2 111.0  99.5
#> 2018 101.8  98.6 112.9 103.0  98.7 112.8 106.6  82.6 104.7 116.0 109.6  97.6
#> 2019 103.8 102.0 111.6 107.2 105.2 106.0 109.8  78.8 109.0 116.5 104.0  97.8
#> 2020 101.0 100.1  91.8  66.7  73.7  98.2  97.4  71.7 104.7 106.7 101.6  96.6

  # Extracting all raw time series from a multiprocessing:
# Returns a list of length 1 named "X13" containing the ts object ipi_c_eu[, "FR"]:
get_ts(mp)
#> $X13
#>        Jan   Feb   Mar   Apr   May   Jun   Jul   Aug   Sep   Oct   Nov   Dec
#> 1990  92.1  92.3 102.1  93.0  93.3 100.8  92.9  66.7  95.8 105.0  96.7  89.2
#> 1991  92.5  89.2  97.4  93.8  87.5 100.3  93.4  64.3  96.9 103.5  94.0  92.1
#> 1992  90.7  89.0  99.4  93.7  86.1 101.3  90.4  62.9  96.6  98.4  91.9  92.6
#> 1993  82.3  84.0  95.6  88.3  82.2  97.9  85.5  61.3  93.7  93.0  88.3  92.1
#> 1994  83.6  83.7  97.0  88.3  88.3 102.9  87.3  65.9  98.2  98.0  96.8  98.0
#> 1995  91.8  90.1 102.9  90.4  91.6 103.7  90.6  66.8  98.7 101.4  97.2  94.8
#> 1996  92.0  91.1  98.1  94.3  90.5 101.8  96.1  66.3  98.9 105.0  95.0  96.0
#> 1997  91.9  91.3  99.1 102.8  93.2 108.2 100.4  70.5 107.3 114.1  99.6 106.7
#> 1998  98.2  98.7 109.3 103.7  97.6 114.7 106.1  72.1 111.5 112.6 105.6 107.4
#> 1999  97.2  98.3 114.5 104.8  99.9 120.2 105.7  76.1 115.2 115.1 111.1 114.0
#> 2000 103.4 107.5 121.7 105.7 113.1 119.4 108.1  82.0 116.4 121.3 117.2 111.9
#> 2001 110.7 108.9 124.0 109.3 109.8 121.9 112.4  85.5 114.1 123.4 114.2 104.9
#> 2002 108.4 106.7 118.5 113.4 105.6 119.2 113.9  81.4 115.6 121.7 111.0 105.2
#> 2003 106.9 105.4 117.1 112.0 101.5 115.2 111.2  75.7 117.5 122.4 107.8 109.3
#> 2004 104.7 106.7 122.8 112.7 104.5 126.5 111.1  79.7 121.9 118.8 112.2 112.6
#> 2005 107.6 106.3 118.8 113.7 109.7 125.0 106.4  81.7 123.0 115.1 115.5 111.6
#> 2006 108.8 105.9 124.8 108.0 113.1 126.7 108.7  84.1 121.0 121.5 116.6 108.2
#> 2007 111.5 109.6 124.0 111.7 111.7 126.6 116.6  87.1 117.3 127.2 118.0 106.5
#> 2008 113.2 114.4 117.5 120.2 107.6 121.4 115.1  78.8 118.9 118.8  99.5  99.2
#> 2009  90.7  90.1 100.0  93.9  88.3 105.5  97.9  70.3 106.5 104.7  99.0  95.2
#> 2010  90.3  93.1 109.5 100.4  95.5 111.8 100.8  74.5 109.0 105.0 102.7 101.9
#> 2011  99.0 101.6 115.3 101.6 110.1 108.5 101.0  78.3 110.0 106.4 106.3 100.2
#> 2012  99.3  99.9 110.3  99.8  96.1 108.5 103.8  78.8 102.9 107.6 101.9  91.5
#> 2013  96.3  95.7 103.9 103.4  96.2 105.5 105.2  73.4 103.3 109.3  99.0  94.6
#> 2014  96.8  97.1 104.9 102.9  92.4 104.8 103.3  71.5 107.2 107.7  95.5  98.4
#> 2015  94.6  96.1 108.4 102.4  91.0 111.8 101.1  76.1 109.1 107.7 101.8  99.9
#> 2016  95.1  99.6 108.3 103.3  98.6 110.3  95.8  79.7 107.9 103.4 104.7  99.7
#> 2017  98.9  97.1 114.5  98.0 102.7 111.4  99.5  81.4 108.2 113.2 111.0  99.5
#> 2018 101.8  98.6 112.9 103.0  98.7 112.8 106.6  82.6 104.7 116.0 109.6  97.6
#> 2019 103.8 102.0 111.6 107.2 105.2 106.0 109.8  78.8 109.0 116.5 104.0  97.8
#> 2020 101.0 100.1  91.8  66.7  73.7  98.2  97.4  71.7 104.7 106.7 101.6  96.6
#> 


  # Extracting all raw time series from a workspace:
# Returns a list of length 1 named "sap1" containing a list
# of length 1 named "X13", containing the ts object ipi_c_eu[, "FR"]
get_ts(wk)
#> $sap1
#> $sap1$X13
#>        Jan   Feb   Mar   Apr   May   Jun   Jul   Aug   Sep   Oct   Nov   Dec
#> 1990  92.1  92.3 102.1  93.0  93.3 100.8  92.9  66.7  95.8 105.0  96.7  89.2
#> 1991  92.5  89.2  97.4  93.8  87.5 100.3  93.4  64.3  96.9 103.5  94.0  92.1
#> 1992  90.7  89.0  99.4  93.7  86.1 101.3  90.4  62.9  96.6  98.4  91.9  92.6
#> 1993  82.3  84.0  95.6  88.3  82.2  97.9  85.5  61.3  93.7  93.0  88.3  92.1
#> 1994  83.6  83.7  97.0  88.3  88.3 102.9  87.3  65.9  98.2  98.0  96.8  98.0
#> 1995  91.8  90.1 102.9  90.4  91.6 103.7  90.6  66.8  98.7 101.4  97.2  94.8
#> 1996  92.0  91.1  98.1  94.3  90.5 101.8  96.1  66.3  98.9 105.0  95.0  96.0
#> 1997  91.9  91.3  99.1 102.8  93.2 108.2 100.4  70.5 107.3 114.1  99.6 106.7
#> 1998  98.2  98.7 109.3 103.7  97.6 114.7 106.1  72.1 111.5 112.6 105.6 107.4
#> 1999  97.2  98.3 114.5 104.8  99.9 120.2 105.7  76.1 115.2 115.1 111.1 114.0
#> 2000 103.4 107.5 121.7 105.7 113.1 119.4 108.1  82.0 116.4 121.3 117.2 111.9
#> 2001 110.7 108.9 124.0 109.3 109.8 121.9 112.4  85.5 114.1 123.4 114.2 104.9
#> 2002 108.4 106.7 118.5 113.4 105.6 119.2 113.9  81.4 115.6 121.7 111.0 105.2
#> 2003 106.9 105.4 117.1 112.0 101.5 115.2 111.2  75.7 117.5 122.4 107.8 109.3
#> 2004 104.7 106.7 122.8 112.7 104.5 126.5 111.1  79.7 121.9 118.8 112.2 112.6
#> 2005 107.6 106.3 118.8 113.7 109.7 125.0 106.4  81.7 123.0 115.1 115.5 111.6
#> 2006 108.8 105.9 124.8 108.0 113.1 126.7 108.7  84.1 121.0 121.5 116.6 108.2
#> 2007 111.5 109.6 124.0 111.7 111.7 126.6 116.6  87.1 117.3 127.2 118.0 106.5
#> 2008 113.2 114.4 117.5 120.2 107.6 121.4 115.1  78.8 118.9 118.8  99.5  99.2
#> 2009  90.7  90.1 100.0  93.9  88.3 105.5  97.9  70.3 106.5 104.7  99.0  95.2
#> 2010  90.3  93.1 109.5 100.4  95.5 111.8 100.8  74.5 109.0 105.0 102.7 101.9
#> 2011  99.0 101.6 115.3 101.6 110.1 108.5 101.0  78.3 110.0 106.4 106.3 100.2
#> 2012  99.3  99.9 110.3  99.8  96.1 108.5 103.8  78.8 102.9 107.6 101.9  91.5
#> 2013  96.3  95.7 103.9 103.4  96.2 105.5 105.2  73.4 103.3 109.3  99.0  94.6
#> 2014  96.8  97.1 104.9 102.9  92.4 104.8 103.3  71.5 107.2 107.7  95.5  98.4
#> 2015  94.6  96.1 108.4 102.4  91.0 111.8 101.1  76.1 109.1 107.7 101.8  99.9
#> 2016  95.1  99.6 108.3 103.3  98.6 110.3  95.8  79.7 107.9 103.4 104.7  99.7
#> 2017  98.9  97.1 114.5  98.0 102.7 111.4  99.5  81.4 108.2 113.2 111.0  99.5
#> 2018 101.8  98.6 112.9 103.0  98.7 112.8 106.6  82.6 104.7 116.0 109.6  97.6
#> 2019 103.8 102.0 111.6 107.2 105.2 106.0 109.8  78.8 109.0 116.5 104.0  97.8
#> 2020 101.0 100.1  91.8  66.7  73.7  98.2  97.4  71.7 104.7 106.7 101.6  96.6
#> 
#> 
# }