Use Broom to Find Stats for Model Summaries

Summary of Strain Statistics

Usage

strainstats(
  object,
  signal = ifelse(is_condition, paste("strain * sex *", condition_name), "strain * sex"),
  rest = ifelse(is_condition, paste("strain * sex + sex *", condition_name), "sex"),
  calc_sd = TRUE,
  condition_name = "condition",
  ...
)

summary_strainstats(
  object,
  terms = termsnow,
  stats = c("deviation", "log10.p"),
  model = c("parts", "terms"),
  threshold = c(SD = 1, p.value = 0.01),
  ...
)

# S3 method for class 'strainstats'
summary(object, ...)

Arguments

object: object of class `strainstats`
signal: signal factor combination as string for `formula`
rest: rest factor combination as string for `formula`
calc_sd: calculate SDs by `term` if `TRUE` (default)
condition_name: name of `condition` column if present.
...: not used
terms: terms to include (overrides `model` and `stats`)
stats: choice of `deviation` or `log10.p`
model: choice of model `parts` or `terms`
threshold: named vector for `SD` and `p.value`

Value

data frame with summaries by trait

data frame

Examples

out <- strainstats(sampleData)
summary(out, "deviation", "parts")
#> Error in summary_strainstats(object, ...): object 'out' not found
summary(out, "log10.p", "terms")
#> Error in summary_strainstats(object, ...): object 'out' not found