COVID19 Covariants by State CoVariants provides an overview of SARS-CoV-2 variants and mutations that are of interest. Here, you can find out what mutations define a variant, what impact they might have (with links to papers and resources), and where variants are found More information available at the Quartz Software Infection Disease Data Repository
COVID19 Covariants by State CoVariants provides an overview of SARS-CoV-2 variants and mutations that are of interest. Here, you can find out what mutations define a variant, what impact they might have (with links to papers and resources), and where variants are found More information available at the Quartz Software Infection Disease Data Repository
Usage
covariants(use_memory = T, use_disk = T, bust_cache = F, ...)
covariants(use_memory = T, use_disk = T, bust_cache = F, ...)Arguments
- use_memory
Whether to use memory caching.
- use_disk
Whether to use disk caching.
- bust_cache
Whether to bust (refresh) the cache.
- ...
arguments to forward to the cache_download function.
Details
This function uses the cache_download function to download the data from the repository.
This function uses the cache_download function to download the data from the repository.
Examples
data <- covariants()
data <- covariants()
#> Rows: 3418 Columns: 36
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr (1): state
#> dbl (34): 21J (Delta), 21K (Omicron), 21L (Omicron), 22A (Omicron), 22B (Om...
#> date (1): week
#>
#> 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.