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Constant values used in vimcheck. See the Examples section for the constant values.

Usage

file_dict_colnames

scenario_data_colnames

burden_outcome_names

colnames_plot_demog_compare

colnames_df_missing_cols

COLNAMES_KEY_PRESSURE_TEST

COLNAMES_INTEREST_PRESSURE_TEST

IMPACT_OUTCOMES

EXCLUDED_DISEASES

N_TS_MIN_CHARS

N_TS_YEAR_CHARS

MIN_TS_YEAR

MAX_TS_YEAR

MIN_TS_MONTH

MAX_TS_MONTH

DEF_TOUCHSTONE_OLD

DEF_TOUCHSTONE_NEW

DEF_TOUCHSTONE_OLD_OLD

COLOUR_VIMC

Format

An object of class character of length 5.

An object of class character of length 4.

An object of class character of length 10.

An object of class character of length 7.

An object of class character of length 5.

An object of class character of length 7.

An object of class character of length 14.

An object of class character of length 2.

An object of class character of length 4.

An object of class integer of length 1.

An object of class integer of length 1.

An object of class numeric of length 1.

An object of class numeric of length 1.

An object of class numeric of length 1.

An object of class numeric of length 1.

An object of class character of length 1.

An object of class character of length 1.

An object of class character of length 1.

An object of class character of length 1.

Examples

file_dict_colnames
#> [1] "scenario_type"             "scenario_type_description"
#> [3] "scenario"                  "scenario_description"     
#> [5] "file"                     

scenario_data_colnames
#> [1] "scenario_type"             "scenario_type_description"
#> [3] "scenario"                  "scenario_description"     

burden_outcome_names
#>  [1] "cases"                     "deaths"                   
#>  [3] "dalys"                     "yll"                      
#>  [5] "deaths_cwyx"               "cases_cwyx"               
#>  [7] "dalys_cwyx"                "yll_cwyx"                 
#>  [9] "rubella_deaths_congenital" "rubella_cases_congenital" 

colnames_plot_demog_compare
#> [1] "variable"       "scenario"       "year"           "age"           
#> [5] "country"        "value"          "value_millions"

colnames_df_missing_cols
#> [1] "country_name"    "vaccine"         "activity_type"   "year"           
#> [5] "modelling_group"

COLNAMES_KEY_PRESSURE_TEST
#> [1] "country"         "country_name"    "vaccine"         "activity_type"  
#> [5] "year"            "disease"         "modelling_group"

COLNAMES_INTEREST_PRESSURE_TEST
#>  [1] "country"             "country_name"        "vaccine"            
#>  [4] "activity_type"       "year"                "disease"            
#>  [7] "modelling_group"     "fvps"                "target_population"  
#> [10] "coverage"            "deaths_averted"      "dalys_averted"      
#> [13] "deaths_averted_rate" "dalys_averted_rate" 

IMPACT_OUTCOMES
#> [1] "deaths_averted" "dalys_averted" 

EXCLUDED_DISEASES
#> [1] "Hib"  "PCV"  "Rota" "JE"  

N_TS_MIN_CHARS
#> [1] 6

N_TS_YEAR_CHARS
#> [1] 4

MIN_TS_YEAR
#> [1] 2000

MAX_TS_YEAR
#> [1] 2100

MIN_TS_MONTH
#> [1] 1

MAX_TS_MONTH
#> [1] 12

DEF_TOUCHSTONE_OLD
#> [1] "201910"

DEF_TOUCHSTONE_NEW
#> [1] "202310"

DEF_TOUCHSTONE_OLD_OLD
#> [1] "202110"

COLOUR_VIMC
#> [1] "#008080"