Calculating FEWSNET Food Consumption-Livelihood Coping Matrix

Usage

add_fclcm_phase(
  .dataset,
  fc_phase_var = "fsl_fc_phase",
  fc_phase_1 = "Phase 1 FC",
  fc_phase_2 = "Phase 2 FC",
  fc_phase_3 = "Phase 3 FC",
  fc_phase_4 = "Phase 4 FC",
  fc_phase_5 = "Phase 5 FC",
  lcs_cat_var = "fsl_lcsi_cat",
  lcs_cat_none = "None",
  lcs_cat_stress = "Stress",
  lcs_cat_crisis = "Crisis",
  lcs_cat_emergency = "Emergency"
)

Arguments

.dataset: Main Dataset
fc_phase_var: Column name containing food consumption phase.
fc_phase_1: The name of the value "Phase 1 FC" (by default) in the food consumption phase.
fc_phase_2: The name of the value "Phase 2 FC" (by default) in the food consumption phase.
fc_phase_3: The name of the value "Phase 3 FC" (by default) in the food consumption phase.
fc_phase_4: The name of the value "Phase 4 FC" (by default) in the food consumption phase.
fc_phase_5: The name of the value "Phase 5 FC" (by default) in the food consumption phase.
lcs_cat_var: Column name containing livelihood coping category.
lcs_cat_none: The name of the value "None" (by default) in the livelihood coping category.
lcs_cat_stress: The name of the value "Stress" (by default) in the livelihood coping category.
lcs_cat_crisis: The name of the value "Crisis" (by default) in the livelihood coping category.
lcs_cat_emergency: The name of the value "Emergency" (by default) in the livelihood coping category.

Value

Returns a dataframe with a additional column for FCLC phase.

Examples

test_df <- data.frame(
  fsl_lcsi_cat = c("None", "Stress"),
  fsl_fc_phase = c("Phase 1 FC", "Phase 2 FC")
)
test_df |> add_fclcm_phase()
#>   fsl_lcsi_cat fsl_fc_phase  fclcm_phase
#> 1         None   Phase 1 FC Phase 1 FCLC
#> 2       Stress   Phase 2 FC Phase 2 FCLC