Fill inn Education in MOAS

Source: R/edu-funcs.R

Using existing data in the MOAS, fills in gaps, converts from on type of coding to another etc.

edu_compute(
  data,
  edu4 = edu_coded4,
  edu9 = edu_coded10,
  edu_years = edu_years,
  prefix = "edu_",
  keep_all = TRUE
)

Arguments

data

MOAS-like data

edu4

unquoted column containing Education coded in 4 categories

edu9

unquoted column containing Education coded in 4 categories

edu_years

unquoted column containing Education in years to highest completed

prefix

string to prefix column names of computed values

keep_all

logical, append to data.frame

Value

a data.frame

See also

Other edu_functions: edu_compile(), edu_factorise(), edu_levels2name(), edu_levels(), edu_reduce(), edu_to_years()

Examples


edu <- data.frame(
    edu4 = c("3", "High school", 1, NA,
         "University/University college (> 4 years)", NA, 
          "University/University college (< 4 years)"),
    edu9 = c(7,7,8,NA,"Primary school (6 years)",5, 9),
    edu_years = c(NA, 12, 9, NA, 19, 19, NA),
    mother = c("3", "High school", 1, NA,
               "University/University college (> 4 years)",
               "University/University college (> 4 years)", 
               "University/University college (< 4 years)"),
    father = c(7,7,8,4,"Primary school (6 years)",5, 10),
    stringsAsFactors = FALSE
    )
 
 edu_compute(edu,
             edu4 = edu4,
             edu9 = edu9, 
             edu_years = edu_years)
#> New names:
#> • `edu_years` -> `edu_years...3`
#> • `edu_years` -> `edu_years...8`
#>                                        edu4                     edu9
#> 1                                         3                        7
#> 2                               High school                        7
#> 3                                         1                        8
#> 4                                      <NA>                     <NA>
#> 5 University/University college (> 4 years) Primary school (6 years)
#> 6                                      <NA>                        5
#> 7 University/University college (< 4 years)                        9
#>   edu_years...3                                    mother
#> 1            NA                                         3
#> 2            12                               High school
#> 3             9                                         1
#> 4            NA                                      <NA>
#> 5            19 University/University college (> 4 years)
#> 6            19 University/University college (> 4 years)
#> 7            NA University/University college (< 4 years)
#>                     father
#> 1                        7
#> 2                        7
#> 3                        8
#> 4                        4
#> 5 Primary school (6 years)
#> 6                        5
#> 7                       10
#>                                                    edu_coded9
#> 1 Lower level University/University college degree (16 years)
#> 2 Lower level University/University college degree (16 years)
#> 3        Upper level University/University college (19 years)
#> 4                                                        <NA>
#> 5                                    Primary school (6 years)
#> 6                              High school diploma (13 years)
#> 7                                            Ph.D. (21 years)
#>                                  edu_coded4 edu_years...8
#> 1 University/University college (< 4 years)            16
#> 2                               High school            12
#> 3                  Primary school (9 years)             9
#> 4                                      <NA>            NA
#> 5 University/University college (> 4 years)            19
#> 6                                      <NA>            19
#> 7 University/University college (< 4 years)            21