R/printRDBESDataObject.R, R/sortRDBESDataObject.R, R/summaryRDBESDataObject.R
RDBESDataObject-methods.RdThis method prints the hierarchy of the DE data.table (if it exists), and the number of rows for each data.table in the RDBESDataObject that is not NULL. It also provides the sampling method and number sampled and number total for tables where it is applicable. If the RDBESDataObject has a mixed hierarchy, a warning message is printed.
This method sorts the RDBESDataObject based on the hierarchy.
This method returns a list containing the hierarchy of the DE data.table, the number of rows for each data.table in the RDBESDataObject that is not NULL, and a logical value indicating if the hierarchy is not NULL.
An object of class RDBESDataObject.
parameters to underling functions (not used currently)
should hierarchy tables be the first ones
An object of class RDBESDataObject.
None.
The sorted RDBESDataObject by hierarchy.
A list with three elements:
hierarchy: The hierarchy of the DE data.table in the RDBESDataObject.
rows: A named list where the names are the names of the data.tables in the RDBESDataObject and the values are the number of rows in each data.table. NULL values are excluded.
CS: A logical value indicating if the hierarchy is not NULL.
# Print the package data object
print(H1Example)
#> Hierarchy 1 RDBESdataObject:
#> DE: 8
#> SD: 8
#> VS: 1214 (SRSWOR,CENSUS,SRSWR: 2-135/4-1382)
#> FT: 1430 (CENSUS,SRSWR: 1-3/1-100)
#> FO: 1916 (CENSUS,SRSWR: 1-3/1-20)
#> SS: 1916 (CENSUS,SRSWR: 1/1-4)
#> SA: 1916 (CENSUS,SRSWR: 1/1-2)
#> FM: 7290
#> BV: 14580 (SRSWR: 2/2)
#> VD: 311
#> SL: 170
# Sort the package data
sort(H8ExampleEE1)
#> Hierarchy 8 RDBESdataObject:
#> DE: 1
#> SD: 1
#> TE: 11 (SRSWOR: 2-3/4)
#> VS: 14 (SRSWR: 1-2/7-12)
#> LE: 15 (SRSWOR: 1-2/1-2)
#> SS: 15 (CENSUS: 2/2)
#> SA: 15 (SRSWOR: 1/794-14268)
#> BV: 3995 (CENSUS: 16-100/16-100)
#> VD: 7
#> SL: 2
#> CL: 71
#> CE: 132
# Get summary of the package data
summary(H1Example)
#> $hierarchy
#> [1] 1
#>
#> $data
#> $data$DE
#> $data$DE$design
#> year
#> 1 1965
#>
#> $data$DE$rows
#> [1] 8
#>
#>
#> $data$SD
#> $data$SD$design
#> data frame with 0 columns and 0 rows
#>
#> $data$SD$rows
#> [1] 8
#>
#>
#> $data$VS
#> $data$VS$design
#> numTotal numSamp selectMeth
#> 1 1054 103 SRSWOR
#> 2 220 21 SRSWOR
#> 3 1382 135 SRSWOR
#> 4 422 41 SRSWOR
#> 5 4 4 CENSUS
#> 6 13 2 SRSWOR
#> 7 10 2 SRSWOR
#> 8 8 2 SRSWOR
#> 9 11 2 SRSWOR
#> 10 9 2 SRSWOR
#> 11 6 2 SRSWOR
#> 12 7 2 SRSWOR
#> 13 5 2 SRSWOR
#> 14 12 2 SRSWOR
#> 15 163 20 SRSWOR
#> 16 109 20 SRSWOR
#> 17 219 20 SRSWOR
#> 18 318 20 SRSWOR
#> 19 259 20 SRSWOR
#> 20 311 20 SRSWOR
#> 21 263 20 SRSWOR
#> 22 180 20 SRSWOR
#> 23 114 20 SRSWOR
#> 24 367 20 SRSWOR
#> 25 20 20 CENSUS
#> 26 34 34 CENSUS
#> 27 26 26 CENSUS
#> 28 28 28 CENSUS
#> 29 19 19 CENSUS
#> 30 32 32 CENSUS
#> 31 17 17 CENSUS
#> 32 21 21 CENSUS
#> 33 24 24 CENSUS
#> 34 60 3 SRSWR
#>
#> $data$VS$rows
#> [1] 1214
#>
#>
#> $data$FT
#> $data$FT$design
#> numTotal numSamp selectMeth
#> 1 1 1 CENSUS
#> 2 100 3 SRSWR
#>
#> $data$FT$rows
#> [1] 1430
#>
#>
#> $data$FO
#> $data$FO$design
#> numTotal numSamp selectMeth
#> 1 1 1 CENSUS
#> 2 20 3 SRSWR
#>
#> $data$FO$rows
#> [1] 1916
#>
#>
#> $data$SS
#> $data$SS$design
#> numTotal numSamp selectMeth
#> 1 1 1 CENSUS
#> 2 4 1 SRSWR
#>
#> $data$SS$rows
#> [1] 1916
#>
#>
#> $data$SA
#> $data$SA$design
#> numTotal numSamp selectMeth
#> 1 1 1 CENSUS
#> 2 2 1 SRSWR
#>
#> $data$SA$rows
#> [1] 1916
#>
#>
#> $data$FM
#> $data$FM$design
#> data frame with 0 columns and 0 rows
#>
#> $data$FM$rows
#> [1] 7290
#>
#>
#> $data$BV
#> $data$BV$design
#> numTotal numSamp selectMeth
#> 1 2 2 SRSWR
#>
#> $data$BV$rows
#> [1] 14580
#>
#>
#> $data$VD
#> $data$VD$design
#> year
#> 1 1965
#>
#> $data$VD$rows
#> [1] 311
#>
#>
#> $data$SL
#> $data$SL$design
#> year
#> 1 1965
#>
#> $data$SL$rows
#> [1] 170
#>
#>
#>