tidy_stats_to_data_frame {tidystats}

Convert a tidystats list to a data frame

Description

tidy_stats_to_data_frame() converts a tidystats list to a data frame, which can then be used to extract specific statistics using standard subsetting functions (e.g., dplyr::filter()).

Usage

tidy_stats_to_data_frame(x)

Arguments

x

A tidystats list.

Examples

# Conduct analyses
sleep_wide <- reshape(
  sleep,
  direction = "wide",
  idvar = "ID",
  timevar = "group",
  sep = "_"
)
sleep_test <- t.test(sleep_wide$extra_1, sleep_wide$extra_2, paired = TRUE)

ctl <- c(4.17, 5.58, 5.18, 6.11, 4.50, 4.61, 5.17, 4.53, 5.33, 5.14)
trt <- c(4.81, 4.17, 4.41, 3.59, 5.87, 3.83, 6.03, 4.89, 4.32, 4.69)
group <- gl(2, 10, 20, labels = c("Ctl", "Trt"))
weight <- c(ctl, trt)
lm_D9 <- lm(weight ~ group)

npk_aov <- aov(yield ~ block + N * P * K, npk)

# Create an empty list to store the statistics in
statistics <- list()

# Add statistics
statistics <- statistics |>
  add_stats(sleep_test, type = "primary", preregistered = TRUE) |>
  add_stats(lm_D9) |>
  add_stats(npk_aov, notes = "An ANOVA example")

# Convert the list to a data frame
df <- tidy_stats_to_data_frame(statistics)

# Select all the p-values
dplyr::filter(df, statistic_name == "p")