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Generate multiple years of EU-SILC data

Source: R/demo.eusilc.R
demo.eusilc.Rd

Create a dummy dataset to be used for demonstrating the functionalities of the surveysd package based on laeken::eusilc. Please refer to the documentation page of the original data for details about the variables.

Usage

demo.eusilc(n = 8, prettyNames = FALSE)

Arguments

n

Number of years to generate. Should be at least 1

prettyNames

Create easy-to-read names for certain variables. Recommended for demonstration purposes. Otherwise, use the original codes documented in laeken::eusilc.

Details

If prettyNames is TRUE, the following variables will be available in an easy-to-read manner.

  • hid Household id. Consistent with respect to the reference period (year)

  • hsize Size of the household. derived from hid and period

  • region Federal state of austria where the household is located

  • pid Personal id. Consistent with respect to the reference period (year)

  • age Age-class of the respondent

  • gender A persons gender ("male", "Female")

  • ecoStat Ecnomic status ("part time", "full time", "unemployed", ...)

  • citizenship Citizenship ("AT", "EU", "other")

  • pWeight Personal sample weight inside the reference period

  • year. Simulated reference period

  • povertyRisk. Logical variable determining whether a respondent is at risk of poverty

Examples

demo.eusilc(n = 1, prettyNames = TRUE)[, c(1:8, 26, 28:30)]
#>          hid  hsize        region    pid       age gender   ecoStat citizenship
#>        <int> <fctr>        <fctr>  <int>    <fctr> <fctr>    <fctr>      <fctr>
#>     1:     1      3         Tyrol    101   (25,45] female part time          AT
#>     2:     1      3         Tyrol    102   (25,45]   male full time       Other
#>     3:     1      3         Tyrol    103 (-Inf,16]   male      <NA>        <NA>
#>     4:     2      4         Tyrol    201   (25,45] female  domestic          AT
#>     5:     2      4         Tyrol    202   (25,45]   male full time          AT
#>    ---                                                                         
#> 14823:  5997      4 Lower Austria 599704 (-Inf,16] female education          AT
#> 14824:  5998      1 Upper Austria 599801   (25,45] female full time          AT
#> 14825:  5999      1         Tyrol 599901   (25,45]   male full time          AT
#> 14826:  6000      2         Tyrol 600001   (45,65]   male full time          AT
#> 14827:  6000      2         Tyrol 600002   (45,65] female  disabled          AT
#>        eqIncome  pWeight  year povertyRisk
#>           <num>    <num> <num>      <lgcl>
#>     1: 16090.69 504.5696  2010       FALSE
#>     2: 16090.69 504.5696  2010       FALSE
#>     3: 16090.69 504.5696  2010       FALSE
#>     4: 27076.24 493.3824  2010       FALSE
#>     5: 27076.24 493.3824  2010       FALSE
#>    ---                                    
#> 14823: 26508.20 556.4260  2010       FALSE
#> 14824: 14387.41 643.2557  2010       FALSE
#> 14825: 14805.83 679.7288  2010       FALSE
#> 14826: 16288.30 567.1544  2010       FALSE
#> 14827: 16288.30 567.1544  2010       FALSE