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Summarize significant sites by group

Source: R/feature_preparation.R
summarize_significant_sites.Rd

Generates summary statistics for significant sites, counting up- and down-regulated sites by specified grouping variables.

Usage

summarize_significant_sites(data, group_cols = c("contrast"))

Arguments

data

Data frame with 'regulation' column (typically output from filter_significant_sites)

group_cols

Character vector of column names to group by. Default c("contrast")

Value

A tibble with counts pivoted wide, showing upregulated and downregulated counts per group

See also

filter_significant_sites

Examples

# Example with mock data
data <- data.frame(
  contrast = c(rep("A_vs_B", 4), rep("C_vs_D", 3)),
  regulation = c("upregulated", "upregulated", "downregulated", "upregulated",
                 "downregulated", "downregulated", "upregulated")
)

summarize_significant_sites(data)
#> # A tibble: 2 × 3
#>   contrast downregulated upregulated
#>   <chr>            <int>       <int>
#> 1 A_vs_B               1           3
#> 2 C_vs_D               2           1