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add_prot_score_movement

Usage

add_prot_score_movement(
  df,
  sep = "/",
  prot_needs_3_movement = "prot_needs_3_movement",
  no_changes_feel_unsafe = "no_changes_feel_unsafe",
  no_safety_concerns = "no_safety_concerns",
  women_girls_avoid_places = "women_girls_avoid_places",
  men_boys_avoid_places = "men_boys_avoid_places",
  women_girls_avoid_night = "women_girls_avoid_night",
  men_boys_avoid_night = "men_boys_avoid_night",
  girls_boys_avoid_school = "girls_boys_avoid_school",
  different_routes = "different_routes",
  avoid_markets = "avoid_markets",
  avoid_public_offices = "avoid_public_offices",
  avoid_fields = "avoid_fields",
  other_safety_measures = "other_safety_measures",
  dnk = "dnk",
  pnta = "pnta",
  .keep_weighted = FALSE
)

Arguments

df

Data frame containing the survey data.

sep

Separator for the binary columns, default is "/".

prot_needs_3_movement

Column name

no_changes_feel_unsafe

answer option

no_safety_concerns

answer option

women_girls_avoid_places

answer option

men_boys_avoid_places

answer option

women_girls_avoid_night

answer option

men_boys_avoid_night

answer option

girls_boys_avoid_school

answer option

different_routes

answer option

avoid_markets

answer option

avoid_public_offices

answer option

avoid_fields

answer option

other_safety_measures

answer option

dnk

answer option

pnta

answer option

.keep_weighted

Logical, whether to keep the weighted columns in the output data frame. Default is FALSE.

Value

data frame with additional columns:

  • comp_prot_score_prot_needs_3

  • comp_prot_score_movement