auto_anova: auto anova

In autostats: Auto Stats

auto anova

Description

A wrapper around lm and anova to run a regression of a continuous variable against categorical variables. Used for determining the whether the mean of a continuous variable is statistically significant amongst different levels of a categorical variable.

Usage

auto_anova(
  data,
  ...,
  baseline = c("mean", "median", "first_level", "user_supplied"),
  user_supplied_baseline = NULL,
  sparse = FALSE,
  pval_thresh = 0.1
)

Arguments

data	a data frame
...	tidyselect specification or cols
baseline	choose from "mean", "median", "first_level", "user_supplied". what is the baseline to compare each category to? can use the mean and median of the target variable as a global baseline
user_supplied_baseline	if intercept is "user_supplied", can enter a numeric value
sparse	default FALSE; if true returns a truncated output with only significant results
pval_thresh	control significance level for sparse output filtering

Details

Columns can be inputted as unquoted names or tidyselect. Continuous and categorical variables are automatically determined. If no character or factor column is present, the column with the lowest amount of unique values will be considered the categorical variable.

Description of columns in the output

• target continuous variables

• predictor categorical variables

• level levels in the categorical variables

• estimate difference between level target mean and baseline

• target_mean target mean per level

• n rows in predictor level

• std.error standard error of target in predictor level

• level_p.value p.value for t.test of whether target mean differs significantly between level and baseline

• level_significance level p.value represented by stars

• predictor_p.value p.value for significance of entire predictor given by F test

• predictor_significance predictor p.value represented by stars

• conclusion text interpretation of tests

Value

data frame

Examples

iris %>%
auto_anova(tidyselect::everything()) -> iris_anova1


iris_anova1 %>%
print(width = Inf)

autostats documentation built on Nov. 10, 2022, 6:13 p.m.