SingleRowHierarchyComputations
SingleRowHierarchyComputations.RdShowing computations behind the scenes in HierarchyCompute
Value
Data frame where the "weights in weighted sum" is named as sign. Firs row (before stacking) contains the "results".
Examples
# Data and hierarchies used in the examples
x <- SSBtoolsData("sprt_emp") # Employment in sport in thousand persons from Eurostat database
geoHier <- SSBtoolsData("sprt_emp_geoHier")
ageHier <- SSBtoolsData("sprt_emp_ageHier")
# Create rowSelect since a single row only
rowSelect <- data.frame(age = "Y15-64", geo = "Europe", stringsAsFactors = FALSE)
# Create input
a <- HierarchyCompute(x, list(age = ageHier, geo = geoHier, year = "colFactor"), "ths_per", rowSelect = rowSelect, output = "matrixComponents")
SingleRowHierarchyComputations(a)
#> age geo sign 2014 2015 2016
#> 1 Y15-64 Europe 0 222.3 225.0 233.5
#> 2 Y15-29 Iceland 1 1.8 1.9 1.9
#> 3 Y15-29 Portugal 1 11.6 14.2 12.7
#> 4 Y15-29 Spain 1 66.9 63.4 69.1
#> 5 Y30-64 Iceland 1 1.5 1.6 1.9
#> 6 Y30-64 Portugal 1 20.2 24.3 25.8
#> 7 Y30-64 Spain 1 120.3 119.6 122.1
SingleRowHierarchyComputations(a, TRUE)
#> age geo sign ind values
#> 1 Y15-64 Europe 0 2014 222.3
#> 2 Y15-29 Iceland 1 2014 1.8
#> 3 Y15-29 Portugal 1 2014 11.6
#> 4 Y15-29 Spain 1 2014 66.9
#> 5 Y30-64 Iceland 1 2014 1.5
#> 6 Y30-64 Portugal 1 2014 20.2
#> 7 Y30-64 Spain 1 2014 120.3
#> 8 Y15-64 Europe 0 2015 225.0
#> 9 Y15-29 Iceland 1 2015 1.9
#> 10 Y15-29 Portugal 1 2015 14.2
#> 11 Y15-29 Spain 1 2015 63.4
#> 12 Y30-64 Iceland 1 2015 1.6
#> 13 Y30-64 Portugal 1 2015 24.3
#> 14 Y30-64 Spain 1 2015 119.6
#> 15 Y15-64 Europe 0 2016 233.5
#> 16 Y15-29 Iceland 1 2016 1.9
#> 17 Y15-29 Portugal 1 2016 12.7
#> 18 Y15-29 Spain 1 2016 69.1
#> 19 Y30-64 Iceland 1 2016 1.9
#> 20 Y30-64 Portugal 1 2016 25.8
#> 21 Y30-64 Spain 1 2016 122.1