R/wop.R
wop.Rdwop calculates the contribution or weight of partitions
for the pooled solution parameters of consistency and coverage
for the conservative or parsimonious solution.
wop(dataset, units, time, cond, out, n_cut, incl_cut, solution, amb_selector)
| dataset | Calibrated pooled dataset for partitioning and minimization of pooled solution. |
|---|---|
| units | Units that define the within-dimension of data (time series). |
| time | Periods that define the between-dimension of data (cross sections). |
| cond | Conditions used for the pooled analysis. |
| out | Outcome used for the pooled analysis. |
| n_cut | Frequency cut-off for designating truth table rows as observed in the pooled analysis. |
| incl_cut | Inclusion cut-off for designating truth table rows as consistent in the pooled analysis. |
| solution | A character specifying the type of solution that should
be derived. |
| amb_selector | Numerical value for selecting a single model in the
presence of model ambiguity. Models are numbered according to their
order produced by |
A dataframe with information about the weight of the partitions with the following columns:
type: The type of the partition. between stands for
cross-sections; within stands for time series. pooled stands
information about the pooled data.
partition: Type of partition. For
between-dimension, the unit identifiers are listed (argument units).
For the within-dimension, the time identifiers are listed (argument time).
The entry is - for the pooled data.
denom_cons: Denominator of the consistency formula. It is the sum
over the cases' membership in the solution.
num_cons: Numerator of the consistency formula. It is the sum
over the minimum of the cases' membership in the solution and the outcome.
denom_cov: Denominator of the coverage formula. It is the sum
over the cases' membership in the outcome.
num_cov: Numerator of the coverage formula. It is the sum
over the minimum of the cases' membership in the solution and the outcome.
(identical to num_cons)
data(Thiem2011) wop_pars <- wop( dataset = Thiem2011, units = "country", time = "year", cond = c("fedismfs", "homogtyfs", "powdifffs", "comptvnsfs", "pubsupfs", "ecodpcefs"), out = "memberfs", n_cut = 6, incl_cut = 0.8, solution = "P", amb_selector = 1) wop_pars#> type partition denom_cons num_cons denom_cov num_cov #> 1 pooled - 80.64 72.39 101.76 72.39 #> 2 between 1996 7.46 5.49 7.95 5.49 #> 3 between 1997 6.77 5.25 7.95 5.25 #> 4 between 1998 6.79 5.34 7.29 5.34 #> 5 between 1999 7.31 6.31 8.29 6.31 #> 6 between 2000 6.66 6.45 9.91 6.45 #> 7 between 2001 6.80 6.57 9.91 6.57 #> 8 between 2002 6.85 6.59 9.91 6.59 #> 9 between 2003 7.24 7.02 10.13 7.02 #> 10 between 2004 7.73 7.68 11.04 7.68 #> 11 between 2005 8.22 8.09 11.04 8.09 #> 12 between 2006 8.81 7.60 8.34 7.60 #> 13 within AT 4.32 1.89 2.28 1.89 #> 14 within BE 9.99 7.71 7.86 7.71 #> 15 within DE 9.65 9.65 10.73 9.65 #> 16 within DK 1.73 1.59 7.46 1.59 #> 17 within ES 8.41 7.95 9.83 7.95 #> 18 within FI 0.60 0.60 5.26 0.60 #> 19 within FR 9.88 9.86 10.87 9.86 #> 20 within GR 1.46 1.29 3.80 1.29 #> 21 within IE 0.73 0.21 0.21 0.21 #> 22 within IT 9.21 9.21 10.77 9.21 #> 23 within LU 0.33 0.33 3.80 0.33 #> 24 within NL 6.26 5.73 7.06 5.73 #> 25 within PT 0.81 0.81 3.80 0.81 #> 26 within SE 6.94 5.27 7.16 5.27 #> 27 within UK 10.32 10.29 10.87 10.29