Calculate an OxCGRT index or indices
calculate_index(df, codes, tolerance) calculate_gov_response(df) calculate_containment_health(df) calculate_stringency(df) calculate_economic_support(df) calculate_indices(df)
| df | A data.frame produced by a call to |
|---|---|
| codes | A vector of policy type codes to use for the index calculation. |
| tolerance | An integer specifying the number of missing values above which index will not be calculated and reported. |
A numeric value for mean subindex scores of specified policy types.
For calculate_indices(), a tibble calculated OxCGRT indices
Ernest Guevarra
## Get policy actions data for Afghanistan on 1 September 2020 x <- get_data(json = get_json_actions(ccode = "AFG", from = NULL, to = "2020-09-01")) ## Calculate OxCGRT subindices y <- calculate_subindices(df = x$policyActions) ## Calculate OxCGRT index calculate_index(df = y, codes = c(paste("C", 1:8, sep = ""), paste("E", 1:2, sep = ""), paste("H", 1:3, sep = ""), "H6"), tolerance = 1)#> [1] 33.33333## Calculate OxCGRT government response index calculate_gov_response(df = y)#> [1] 33.33333## Calculate OxCGRT containment and health index calculate_containment_health(df = y)#> [1] 38.88889## Calculate OxCGRT stringency index calculate_stringency(df = y)#> [1] 21.2963## Calculate OxCGRT economic support index calculate_economic_support(df = y)#> [1] 0## Calculate all OxCGRT indices calculate_indices(df = y)#> # A tibble: 4 x 2 #> index values #> <chr> <dbl> #> 1 Government Response Index 33.3 #> 2 Containment and Health Index 38.9 #> 3 Stringency Index 21.3 #> 4 Economic Support Index 0