Output from PLSrounding is presented as two-way table(s) in cases where this is possible.
A requirement is that the number of main dimensional variables is two.
Usage
PLS2way(obj, variable = c("rounded", "original", "difference", "code"))Arguments
- obj
Output object from
PLSrounding- variable
One of
"rounded"(default),"original","difference"or"code".
Details
When parameter "variable" is "code", output is coded as "#" (publish), "." (inner) and "&" (both).
Examples
# Making tables from PLSrounding examples
z <- SmallCountData("e6")
a <- PLSrounding(z, "freq", formula = ~eu * year + geo)
PLS2way(a, "original")
#> X2018 X2019 Total
#> Iceland 2 1 3
#> Portugal 3 5 8
#> Spain 7 6 13
#> EU 10 11 21
#> Total 12 12 24
#> nonEU 2 1 3
PLS2way(a, "difference")
#> X2018 X2019 Total
#> Iceland 1 -1 0
#> Portugal 0 0 0
#> Spain 0 0 0
#> EU 0 0 0
#> Total 1 -1 0
#> nonEU 1 -1 0
PLS2way(a, "code")
#> X2018 X2019 Total
#> Iceland . . #
#> Portugal . . #
#> Spain . . #
#> EU # # #
#> Total # # #
#> nonEU # # #
PLS2way(PLSrounding(z, "freq", formula = ~eu * year + geo * year), "code")
#> X2018 X2019 Total
#> Iceland & & #
#> Portugal & & #
#> Spain & & #
#> EU # # #
#> Total # # #
#> nonEU # # #
eHrc2 <- list(geo = c("EU", "@Portugal", "@Spain", "Iceland"), year = c("2018", "2019"))
PLS2way(PLSrounding(z, "freq", hierarchies = eHrc2))
#> X2018 X2019 Total
#> Iceland 3 0 3
#> Portugal 3 5 8
#> Spain 7 6 13
#> EU 10 11 21
#> Total 13 11 24