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Create Contingency Table from Count Data

Source: R/quantal.R
create_contingency_table.Rd

This function creates a contingency table by aggregating counts based on a grouping variable.

Usage

create_contingency_table(
  data,
  group_col,
  success_col,
  failure_col,
  prefix = NULL,
  col_names = NULL
)

Arguments

data

A data frame containing the data

group_col

String name of the column to group by (e.g., "dose")

success_col

String name of the column containing success counts (e.g., "alive")

failure_col

String name of the column containing failure counts (e.g., "dead")

prefix

String prefix to add to row names (default: the group column name followed by "_")

col_names

Character vector of length 2 for column names (default: c("success", "failure"))

Value

A matrix where rows represent groups and columns represent success/failure counts

Examples

# Generate example data
set.seed(123)
data <- data.frame(
  dose = rep(c(0, 1, 10), each = 3),
  alive = c(9, 8, 10, 7, 6, 5, 3, 4, 2),
  dead = c(1, 2, 0, 3, 4, 5, 7, 6, 8)
)

# Create contingency table
create_contingency_table(data, "dose", "alive", "dead")
#>         success failure
#> dose_0       27       3
#> dose_1       18      12
#> dose_10       9      21