Process World Marriage Data

Process marriage data downloaded from the UN Population Division's World Marriage Data, so it is ready to create a scaled SVD.

Usage

data_ssvd_wmd(file, n_comp = 5, status = c("current", "ever"), eps = 1e-05)

Arguments

file: Path to excel spreadsheet holding World Marriage Data
n_comp: Number of SVD components to include in result. Default is 5.
status: "current" (the default) or "ever". Whether to report results for the marriage staus "currently married" or "ever-married". Note that both statuses include consensual and de facto unions, in addition to legal marriages.
eps: Parameter for truncating probabililities or rates. Default is 0.00001.

Value

A tibble

Usage

Step 1: Download data

Go to to page World Marriage Data. Go to the data tab on the right. Download the most recent excel spreadsheet (which as of October 2025 is called undesa_pd_2019_wmd_marital_status.xlsx).

Step 2: Call function data_ssvd_wmd()

wmd_data <- data_ssvd_wmd("undesa_pd_2019_wmd_marital_status.xlsx")

coef_wmd Truncation and transformation

Examples

file <- system.file(
  "extdata",
  "undesa_pd_2019_wmd_marital_status_subset.xlsx",
  package = "bssvd"
)
coef_wmd(file)
#> # A tibble: 60 × 5
#>    sex    country           time component      coef
#>    <chr>  <chr>            <int> <chr>         <dbl>
#>  1 Female Afghanistan.2015     5 Component 1  1.03  
#>  2 Female Albania           2000 Component 1  1.09  
#>  3 Female Albania           2001 Component 1 -0.189 
#>  4 Female Albania.2008         5 Component 1  0.339 
#>  5 Female Albania           2011 Component 1 -1.22  
#>  6 Female Albania.2017         5 Component 1 -1.05  
#>  7 Female Afghanistan.2015     5 Component 2  1.88  
#>  8 Female Albania           2000 Component 2 -0.0981
#>  9 Female Albania           2001 Component 2  0.185 
#> 10 Female Albania.2008         5 Component 2 -0.356 
#> # ℹ 50 more rows

Usage

Arguments

Value

Usage

coef_wmd Truncation and transformation

See also

Examples