Subset the epidemiological parameter columns by parameter type
Source:R/get_key_columns.R
get_key_columns.Rd
Subset the epidemiological parameter columns by parameter type
Usage
get_key_columns(
data,
parameter_name = c("cfr", "delays", "sero", "risk_factors", "reproduction_number",
"genomic", "attack_rate", "doubling_time", "growth_rate", "overdispersion",
"relative_contribution"),
all_columns = FALSE
)
Arguments
- data
The parameter
data.frame
($param
) fromload_epidata()
.- parameter_name
A
character
string with the parameter name. Options are:"cfr"
,"delay"
,"sero"
,"risk"
,"reproduction_number"
, and"genomic"
.- all_columns
The default is FALSE meaning that only the key columns specified for the specific parameter will be retrieved. If TRUE, then all columns in the data.frame will be retrieved.
Examples
lassa_data <- load_epidata("lassa")
#> Rows: 107 Columns: 2
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ";"
#> chr (2): parameter_type_short, parameter_type_full
#>
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
#> ✔ Data loaded for lassa
lassa_params <- lassa_data$params
cfr_lassa <- get_parameter(
data = lassa_params,
parameter_name = "Severity - case fatality rate (CFR)"
)
get_key_columns(data = cfr_lassa, parameter_name = "cfr")
#> # A tibble: 85 × 12
#> article_label article_info population_country population_sample_size
#> <chr> <chr> <chr> <int>
#> 1 PA 1986 PA 1986 (Transa… Sierra Leone 225
#> 2 J. 1998 J. 1998 (Journa… Guinea 12
#> 3 Nathan Y 2018 10.3389/fpubh.2… Nigeria 11
#> 4 Jeffrey 2014 10.1371/journal… Sierra Leone 1740
#> 5 Prerana 2015 10.4269/ajtmh.1… Sierra Leone 21
#> 6 Michael E 1988 (1) Michael E 1988 … Sierra Leone 68
#> 7 Michael E 1988 (2) Michael E 1988 … Sierra Leone 79
#> 8 H. 1972 H. 1972 (Transa… Nigeria 23
#> 9 Peter 2018 10.1016/S1473-3… Nigeria 284
#> 10 J. 1980 J. 1980 (Tropen… Guinea, Liberia, … 42
#> # ℹ 75 more rows
#> # ℹ 8 more variables: population_sample_type <chr>, population_group <chr>,
#> # method_disaggregated <lgl>, parameter_type <chr>, parameter_value <dbl>,
#> # cfr_ifr_numerator <int>, cfr_ifr_denominator <int>, cfr_ifr_method <chr>