Descriptive Statistics Answer KEY Table

Description

Creates a flextable showing the correct Mean, SD, SEM, and interpretability for each variable. Used as a printable answer KEY for the worksheet (Word/PDF output). For the interactive HTML checker version, use create_stats_table() instead.

Usage

create_answer_table(
  vars,
  stats_data,
  label = NULL,
  quantitative = NULL,
  binary = NULL,
  multi_category = NULL,
  KEY = TRUE
)

Arguments

vars	Character vector. Variable names to include, in display order.
stats_data	A data frame with columns variable, mean, sd, and sem – typically the output of univariate_stats_answers().
label	Character vector or NULL. Variables that are IDs/labels.
quantitative	Character vector or NULL. Continuous variables.
binary	Character vector or NULL. Dichotomous variables.
multi_category	Character vector or NULL. Nominal variables (3+ levels).
KEY	Logical. If TRUE (default), fill with computed values. If FALSE, create a blank template with empty cells.

Value

A flextable::flextable() object.

Examples

library("psych350lab")

data(superman, package = "psych350data")
library(dplyr)

my_data <- superman |>
  select(num, year, type, clark_height_in, clark_grp,
         height_diff, height_gap) |>
  filter(year > 1975)

stats <- univariate_stats_answers(my_data)

# Answer KEY
create_answer_table(
  vars = names(my_data), stats_data = stats,
  label = "num", binary = "clark_grp",
  multi_category = c("type", "height_gap")
)

Variable	Mean	SD	SEM	Interpretable?
num	6.000000	3.674235	1.2247449	No - this is a label, not a variable
year	2,001.555556	16.000868	5.3336227	Yes - this is a quantitative variable
type				No - this is a multiple-category variable
clark_height_in	73.446922	1.868635	0.6228785	Yes - this is a quantitative variable
clark_grp				Yes - this is a binary variable
height_diff	8.211457	2.645209	0.9997949	Yes - this is a quantitative variable
height_gap				No - this is a multiple-category variable

# Blank version
create_answer_table(
  vars = names(my_data), stats_data = stats, KEY = FALSE
)

Variable	Mean	SD	SEM	Interpretable?
num
year
type
clark_height_in
clark_grp
height_diff
height_gap