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Title:

Facilitate Writing Documents in American Psychological Association Style, Seventh Edition

Version:

0.1.0

Description:

Create American Psychological Association Style, Seventh Edition documents. Format numbers and text consistent with APA style. Create tables that comply with APA style by extending flextable functions.

License:

CC0

URL:

https://github.com/wjschne/apa7, https://wjschne.github.io/apa7/

BugReports:

https://github.com/wjschne/apa7/issues

Depends:

R (≥ 4.1.0)

Imports:

dplyr, effectsize, flextable, ftExtra, glue, parameters, performance, psych, purrr, rlang, S7, scales, shiny, signs, stringr, tibble, tidyr

Suggests:

bsicons, bslib, cli, conflicted, forcats, ggplot2, knitr, quarto, R.utils, rclipboard, readr, rmarkdown, shinyWidgets, snakecase, spelling, testthat (≥ 3.0.0), tidyselect, tippy, toastui, yaml

VignetteBuilder:

knitr, quarto

Config/Needs/website:

quarto

Config/testthat/edition:

Encoding:

UTF-8

Language:

en-US

RoxygenNote:

7.3.2

NeedsCompilation:

Packaged:

2025-09-05 18:05:39 UTC; renee

Author:

W. Joel Schneider

[aut, cre]

Maintainer:

W. Joel Schneider <w.joel.schneider@gmail.com>

Repository:

CRAN

Date/Publication:

2025-09-10 08:30:07 UTC

apa7: Facilitate Writing Documents in American Psychological Association Style, Seventh Edition

Description

Author(s)

Maintainer: W. Joel Schneider w.joel.schneider@gmail.com (ORCID)

Add break columns

Description

Add break columns

Usage

add_break_columns(
  d,
  ...,
  .before = FALSE,
  omit_first = FALSE,
  omit_last = FALSE
)

Arguments

d

data.frame or tibble

...

Column name or tidyselect function. Select columns

.before

insert break columns before selected columns (defaults to FALSE)

omit_first

omit the first break column

omit_last

omit the last break column

Value

data.frame or tibble

Examples

d <- data.frame(x_n = 3, x_mean = 4,
            y_n = 5, y_mean = 6,
            z_n = 4, z_mean = 4)
# Unquoted variable names
add_break_columns(d, x_mean)

# Character vector
add_break_columns(d, c("y_n", "z_n"),  .before = TRUE)

# Tidyselect function (contains, starts_with, ends_with,
# matches, num_range, all_of, any_of)
# Insert columns after all columns
# ending with "_mean" except the last instance
add_break_columns(d,
                  dplyr::ends_with("_mean"),
                  omit_last = TRUE)

Make a column into a list column

Description

Make a column into a list column

Usage

add_list_column(data, ..., type = c("1", "a", "A", "I", "i"), sep = ". ")

Arguments

data

data.frame or tibble

...

Column name or tidyselect function. Select columns. Default is first column

type

list type. Can be "1" (numeric), "a" (lowercase alphabetical), or "ABC" (uppercase alphabetical), "i" (lowercase Roman numerals), "I" (uppercase Roman numerals)

sep

separator

Value

data.frame

Examples

d <- data.frame(x = letters[1:5], y = letters[2:6])
# default is first column
add_list_column(d)
# select any column
add_list_column(d, y)
add_list_column(d, type = "a", sep = ") ") |>
 apa_flextable()

Adds stars next to a column based on p-values

Description

Adds stars next to a column based on p-values

Usage

add_star_column(
  data,
  ...,
  p = "p",
  merge = FALSE,
  superscript = TRUE,
  star = "\\*",
  alpha = c(0.05, 0.01, 0.001),
  first_alpha_marginal = FALSE,
  add_trailing_space = FALSE,
  prefix = "\\"
)

Arguments

data

data.frame or tibble

...

Column name or tidyselect function. Select columns

p

Column name or tidyselect function. Select p-value column name

merge

merge and balance columns (default: FALSE)

superscript

make as superscript

star

text for making stars

alpha

vector of thresholds

first_alpha_marginal

if TRUE, the first alpha value is treated as marginal and gets a dagger instead of a star

add_trailing_space

if TRUE, adds a trailing space after the stars (default: FALSE)

prefix

usually backslashes to prevent markdown from interpreting asterisks as bullets or italics

Value

data.frame

Examples

data.frame(b = c(1.4,2.2),
           p = c(.54, .02)) |>
 add_star_column(b, p)

Align text on center text (default is decimal)

Description

Align text on center text (default is decimal)

Usage

align_chr(
  x,
  accuracy = NULL,
  trim_leading_zeros = FALSE,
  drop0trailing = FALSE,
  add_plusses = FALSE,
  padding_character = NULL,
  center = ".",
  format_integers = FALSE,
  side = c("both", "left", "right"),
  NA_value = "",
  format_numeric_character = FALSE,
  ...
)

Arguments

x

vector (numeric or character)

accuracy

number to round to. If NULL, the current default accuracy set with apa7_defaults() will be used.

trim_leading_zeros

if TRUE (default), trims leading zeros, otherwise keeps them

drop0trailing

Drop trailing zeros

add_plusses

if TRUE (default), adds a plus to positive numbers

padding_character

character to use for padding, default is ⁠&numsp;⁠ (figure space)

center

text on which to align text. Center on decimal by default, but can be any text.

format_integers

If TRUE, integers will be formatted with digits

side

side on which to make text of equal width

NA_value

value to replace NA

format_numeric_character

format character variables with numeric content

...

additional arguments passed to signs::signs()

Value

character vector

Examples

align_chr(c(1, 10, 100))

Set defaults for apa7 package

Description

Set defaults for apa7 package

Usage

apa7_defaults(
  accuracy = NULL,
  font_family = NULL,
  intercept_text = NULL,
  column_formats = NULL,
  number_formatter = NULL,
  trim_leading_zero = NULL,
  reset = FALSE
)

Arguments

accuracy

numeric (default: .01)

font_family

font family

intercept_text

what to call the intercept

column_formats

column formatting functions

number_formatter

default function to format numbers

trim_leading_zero

default function to trim leading zeros from numbers

reset

if TRUE, reset all defaults (except as specified)

Value

previous defaults

Examples

apa7_defaults(accuracy = .001)
# Reset to package defaults
apa7_defaults(reset = TRUE)

Make contingency table with chi-square test of independence

Description

Make contingency table with chi-square test of independence

Usage

apa_chisq(
  data,
  note = NULL,
  row_title_column = NULL,
  row_title_prefix = "",
  row_title_sep = " ",
  row_title_align = "center",
  row_title_border = list(color = "gray20", style = "solid", width = 1),
  left_column_padding = 20,
  cwidth = 0.75,
  cheight = 0.25,
  separate_headers = TRUE,
  apa_style = TRUE,
  font_family = NULL,
  font_size = 12,
  text_color = "black",
  border_color = "black",
  border_width = 0.5,
  line_spacing = 2,
  horizontal_padding = 3,
  table_align = "left",
  layout = "autofit",
  table_width = 1,
  markdown = TRUE,
  markdown_header = markdown,
  markdown_body = markdown,
  auto_format_columns = TRUE,
  column_formats = NULL,
  pretty_widths = TRUE,
  suppress_warnings = TRUE,
  ...
)

Arguments

data

A two-column data.frame or tibble

note

Custom note (overrides automatic note.)

row_title_column

Column name or tidyselect function. column to group rows

row_title_prefix

text to be added to each title

row_title_sep

separator for prefix

row_title_align

alignment of row title ("left", "center", "right")

row_title_border

list of flextable styles

left_column_padding

Number of points the left column is padded (only relevant when there is a row_title_column and row_title_align = "left")

cwidth

initial cell width in inches

cheight

initial cell height in inches

separate_headers

separate header rows (default: TRUE)

apa_style

apply apa_style function (default: TRUE)

font_family

font family

font_size

font size

text_color

text color

border_color

border color

border_width

border width in pixels

line_spacing

spacing between lines

horizontal_padding

horizontal padding (in pixels)

table_align

table alignment ("left", "center", "right")

layout

table layout ("autofit", "fixed")

table_width

table width (in pixels, 0 for auto)

markdown

apply markdown formatting to header and body

markdown_header

apply markdown formatting to header

markdown_body

apply markdown formatting to body

auto_format_columns

if true, will attempt to format some columns automatically

column_formats

a column_formats object

pretty_widths

apply pretty_widths function

suppress_warnings

Suppress any warnings if true.

...

arguments passed to apa_style

Value

flextable::flextable

Examples

apa_chisq(mtcars[, c("am", "gear")])

APA-formatted correlation table

Description

APA-formatted correlation table

Usage

apa_cor(
  data,
  note = NULL,
  p_value = c(0.05, 0.01, 0.001),
  digits = 2,
  bold_significant = FALSE,
  star_significant = TRUE,
  significance_note = TRUE,
  output = c("flextable", "tibble"),
  font_family = NULL,
  font_size = 12,
  text_color = "black",
  border_color = "black",
  border_width = 0.5,
  line_spacing = 2,
  table_width = 6.5,
  keep_empty_star_columns = TRUE,
  summary_functions = list(M = mean, SD = stats::sd),
  column_formats = NULL,
  ...
)

Arguments

data

data.frame or tibble with variables to be

note

Custom note to appear below table. (Overrides automatic note.)

p_value

p-value needed to be flagged as significant

digits

Number of digits for rounding

bold_significant

bold significant correlations

star_significant

start significant correlations

significance_note

If TRUE, place note at bottom of table that significant correlations are bolded.

output

output type. Can be "flextable" or "tibble"

font_family

font family

font_size

font size

text_color

text color

border_color

border color

border_width

border width in pixels

line_spacing

spacing between lines

table_width

table width (in pixels, 0 for auto)

keep_empty_star_columns

Keep remove empty star columns (Default: TRUE)

summary_functions

A named list of functions that summarize data columns (e.g., mean, sd)

column_formats

column_formats object

...

<data-masking> parameters passed to psych::corTest

Value

flextable::flextable

Examples

apa_cor(mtcars[, c("mpg", "am", "gear", "carb")], output = "flextable")
apa_cor(mtcars[, c("mpg", "am", "gear", "carb")], output = "tibble")

Convert data to flextable consistent with APA style

Description

The apa_flextable function performs a number of formatting operations on the data before and after the data are sent to flextable. See Details.

Usage

apa_flextable(
  data,
  row_title_column = NULL,
  row_title_align = "left",
  row_title_prefix = "",
  row_title_sep = " ",
  row_title_border = list(color = "gray20", style = "solid", width = 1),
  left_column_padding = 20,
  col_keys = colnames(data),
  cwidth = 0.75,
  cheight = 0.25,
  header_align_vertical = c("top", "middle", "bottom"),
  separate_headers = TRUE,
  apa_style = TRUE,
  font_family = NULL,
  font_size = 12,
  text_color = "black",
  border_color = "black",
  border_width = 0.5,
  line_spacing = 2,
  horizontal_padding = 3,
  table_align = "left",
  layout = "autofit",
  table_width = 1,
  markdown = TRUE,
  markdown_header = markdown,
  markdown_body = markdown,
  no_markdown_columns = NULL,
  no_markdown_columns_header = NULL,
  no_format_columns = NULL,
  auto_format_columns = TRUE,
  column_formats = NULL,
  pretty_widths = TRUE,
  add_breaks_between_spanners = TRUE,
  ...
)

Arguments

data

data.frame or tibble

row_title_column

Column name or tidyselect function. column to group rows

row_title_align

alignment of row title ("left", "center", "right")

row_title_prefix

text to be added to each title

row_title_sep

separator for prefix

row_title_border

list of flextable styles

left_column_padding

Number of points the left column is padded (only relevant when there is a row_title_column and row_title_align = "left")

col_keys

column keys passed to flextable (defaults data column names)

cwidth

initial cell width in inches

cheight

initial cell height in inches

header_align_vertical

vertical alignment of headers. Can be "top", "middle", or "bottom"

separate_headers

separate header rows (default: TRUE)

apa_style

apply apa_style function (default: TRUE)

font_family

font family

font_size

font size

text_color

text color

border_color

border color

border_width

border width in pixels

line_spacing

spacing between lines

horizontal_padding

horizontal padding (in pixels)

table_align

table alignment ("left", "center", "right")

layout

table layout ("autofit", "fixed")

table_width

table width (in pixels, 0 for auto)

markdown

apply markdown formatting to header and body

markdown_header

apply markdown formatting to header

markdown_body

apply markdown formatting to body

no_markdown_columns

body columns that should not be treated as markdown

no_markdown_columns_header

column headers that should not be treated as markdown

no_format_columns

Column name or tidyselect function. selected columns are not formatted

auto_format_columns

if true, will attempt to format some columns automatically

column_formats

a column_formats object

pretty_widths

apply pretty_widths function

add_breaks_between_spanners

add breaks between spanners if TRUE

...

arguments passed to apa_style

Details

Roughly speaking, apa_flextable performs these operations by default:

Apply as_grouped_data and restructure row titles, if row_title is specified.
Format data with apa_format_columns if auto_format_columns = TRUE
Separate headers into multiple header rows if separate_headers = TRUE
Apply flextable::flextable
Apply flextable::surround to make borders to separate row groups, if any.
Apply the apa_style function (table formatting and markdown conversion) if apa_style = TRUE
Apply pretty_widths if pretty_widths = TRUE

Value

flextable::flextable

Examples

library(dplyr)
library(tidyr)
library(flextable)
mtcars %>%
  dplyr::select(vs, am, gear, carb) |>
  tidyr::pivot_longer(-vs,  names_to = "Variable") |>
  dplyr::summarise(Mean = round(mean(value), 2),
                   SD = round(sd(value), 2),
                   .by = c(Variable,vs)) |>
  dplyr::mutate(vs = factor(vs, levels = 0:1, labels = c("Automatic", "Manual"))) |>
  apa_flextable(row_title_column= vs,  row_title_align = "center") |>
  align(j = 2:3, align = "center")

Format data columns

Description

Format data columns

Usage

apa_format_columns(
  data,
  column_formats = NULL,
  no_format_columns = NULL,
  rename_headers = TRUE,
  latex_headers = FALSE,
  format_separated_headers = TRUE,
  sep = "_",
  accuracy = NULL
)

Arguments

data

data set (data.frame or tibble)

column_formats

column_formats object. If NULL, the current default formatter set with apa7_defaults() will be used.

no_format_columns

Column name or tidyselect function. selected columns are not formatted

rename_headers

if TRUE, rename headers with markdown or latex

latex_headers

if TRUE, rename headers with latex instead of markdown

format_separated_headers

if TRUE, format headers with separated names. For example, if the formatter formats column R2 as ⁠*R*^2^⁠, then ⁠Model 1_R2⁠ becomes ⁠Model 1_*R*^2^⁠)

sep

separator for separated headers (default is "_")

accuracy

numeric (default: NULL, uses the current default accuracy set with apa7_defaults()). If not NULL, sets the accuracy for the formatter.

Value

tibble

Examples

lm(mpg ~ cyl + wt, data = mtcars) |>
  parameters::parameters() |>
  apa_format_columns() |>
  apa_flextable()

print loadings

Description

print loadings

Usage

apa_loadings(
  fit,
  sort_loading = TRUE,
  min_loading = 0.2,
  column_formats = NULL,
  complexity = FALSE,
  uniqueness = FALSE
)

Arguments

fit

model fit object

sort_loading

sort table using psych::fa.sort

min_loading

minimum loading to display

column_formats

column_formats object to format columns. If NULL, the default column_formats is used.

complexity

print complexity column in factor analysis table

uniqueness

print uniqueness column in factor analysis table

Value

tibble

p-value in APA format

Description

p-value in APA format

Usage

apa_p(
  p,
  inline = FALSE,
  markdown = TRUE,
  min_digits = 2,
  max_digits = 3,
  align = FALSE
)

Arguments

p

probability

inline

If TRUE (default), returns statistic (e.g.,e p = .04), otherwise just the number (e.g., .04)

markdown

By default, outputs text compatible with markdown if TRUE, otherwise prints plain text compatible with latex.

min_digits

minimum number of digits to round to. Default is 2.

max_digits

maximum number of digits to round to. Default is 3.

align

decimal alignment if TRUE

Value

character vector

Examples

# Values less than .001 are <.001
apa_p(.0002)
# Values between .001 and .01 are rounded to 3 digits
apa_p(.002)
# Values between .01 and .995 are rounded to 2 digits
apa_p(.02)#'
apa_p(.22)
apa_p(.994)
# Values above .995 are >.99
apa_p(.999)
# Rounding to 3 digits
apa_p(.2341, min_digits = 3)
apa_p(.0123, min_digits = 3)
apa_p(.00123, min_digits = 3)
apa_p(.000123, min_digits = 3)
apa_p(.991, min_digits = 3)
apa_p(.9991, min_digits = 3)
apa_p(.9995, min_digits = 3)

Make star notes for p-values

Description

Make star notes for p-values

Usage

apa_p_star_note(x = c(0.05, 0.01, 0.001), first_alpha_marginal = FALSE)

Arguments

x

vector of alpha values (p-value thresholds)

first_alpha_marginal

if TRUE, the first alpha value is treated as marginal and gets a dagger instead of a star

Value

character vector

Examples

apa_p_star_note()
apa_p_star_note(x = c(.10, .05, .01, .001), first_alpha_marginal = TRUE)

format model parameters in APA style

Description

format model parameters in APA style

Usage

apa_parameters(
  fit,
  predictor_parameters = c("Coefficient", "SE", "Std_Coefficient", "t", "df_error", "p"),
  starred = NULL,
  bolded = NULL,
  column_formats = NULL,
  t_with_df = TRUE
)

## S3 method for class 'lm'
apa_parameters(
  fit,
  predictor_parameters = c("Parameter", "Coefficient", "SE", "Std_Coefficient", "t",
    "df_error", "p"),
  starred = NA,
  bolded = NA,
  column_formats = NULL,
  t_with_df = TRUE
)

## S3 method for class 'list'
apa_parameters(
  fit,
  predictor_parameters = c("Parameter", "Coefficient", "SE", "Std_Coefficient", "t",
    "df_error", "p"),
  starred = NA,
  bolded = NA,
  column_formats = NULL,
  t_with_df = TRUE
)

Arguments

fit

model fit object

predictor_parameters

predictor parameters to display. If named vector, column names will be vector names

starred

columns to star with significant p_values

bolded

columns to bold, if significant

column_formats

column_formats object to format columns. If NULL, the default column_formats is used.

t_with_df

if TRUE, the t column will be displayed with degrees of freedom in parentheses. If FALSE, only the t value is displayed.

Value

tibble

Examples

lm(mpg ~ cyl + wt, data = mtcars) |>
   apa_parameters() |>
   apa_flextable()

format model performance metrics in APA style

Description

format model performance metrics in APA style

Usage

apa_performance(fit, metrics = c("R2", "Sigma"), column_formats = NULL)

## S3 method for class 'lm'
apa_performance(fit, metrics = c("R2", "Sigma"), column_formats = NULL)

Arguments

fit

model fit object

metrics

performance metrics. Default is R2 and Sigma

column_formats

column_formats object to format columns. If NULL, the default column_formats is used.

Value

tibble

Examples

lm(mpg ~ cyl + wt, data = mtcars) |>
   apa_performance() |>
   apa_flextable()

format model comparison metrics in APA style

Description

format model comparison metrics in APA style

Usage

apa_performance_comparison(
  ...,
  metrics = c("R2", "deltaR2", "F", "p"),
  starred = NA,
  column_formats = NULL
)

Arguments

...

model fit objects

metrics

performance metrics. Default is R2, deltaR2, F, and p

starred

columns to star with significant p_values

column_formats

column_formats object to format columns. If NULL, the default column_formats is used.

Value

tibble

Examples

m1 <- lm(mpg ~ cyl, data = mtcars)
m2 <- lm(mpg ~ cyl + wt, data = mtcars)
apa_performance_comparison(list(`Model 1` =m1, `Model 3` =m2)) |>
   apa_flextable()

Style `flextable::flextable` object according to APA style

Description

Style flextable::flextable object according to APA style

Usage

apa_style(
  x,
  font_family = NULL,
  font_size = 12,
  text_color = "black",
  border_color = "black",
  border_width = 0.5,
  line_spacing = 2,
  horizontal_padding = 3,
  table_align = "left",
  header_align_vertical = c("top", "middle", "bottom"),
  layout = "autofit",
  table_width = 0,
  markdown = TRUE,
  markdown_header = markdown,
  markdown_body = markdown,
  no_markdown_columns = NULL,
  no_markdown_columns_header = no_markdown_columns,
  separate_headers = TRUE
)

Arguments

x

object

font_family

font family

font_size

font size

text_color

text color

border_color

border color

border_width

border width in pixels

line_spacing

spacing between lines

horizontal_padding

horizontal padding (in pixels)

table_align

table alignment ("left", "center", "right")

header_align_vertical

vertical alignment of headers. Can be "top", "middle", or "bottom"

layout

table layout ("autofit", "fixed")

table_width

table width (in pixels, 0 for auto)

markdown

apply markdown formatting to header and body

markdown_header

apply markdown formatting to header

markdown_body

apply markdown formatting to body

no_markdown_columns

body columns that should not be treated as markdown

no_markdown_columns_header

column headers that should not be treated as markdown

separate_headers

separate headers into column spanner labels

Value

object

Examples

d <- data.frame(x = 1:3, y = 4:6)
flextable::flextable(d) |>
  apa_style()

Column format class

Description

This class is used to define the format of columns in tables, including the name, header, latex representation, and a formatter function.

Usage

column_format(
  name = character(0),
  header = character(0),
  latex = character(0),
  formatter = function() NULL
)

Arguments

name

name of column

header

markdown representation of header name

latex

latex representation of header name

formatter

function that formats the column values. It should take a vector of values and return a character vector of formatted values.

Value

column_format object

Examples

R2 <- column_format(
         "R2",
         header = "*R*^2^",
         latex = "$R^2$",
         formatter = \(x, accuracy = the$accuracy, ...) {
                       align_chr(x,
                                 accuracy = accuracy,
                                 trim_leading_zeros = TRUE,
                                 ...)
                       })
R2
R2@header
R2@formatter

Create a set of column formats

Description

Returns an S7 object that contains a list of column_format objects that can be used to format parameters in APA style.

Usage

column_formats(
  .data = NULL,
  accuracy = NULL,
  intercept_text = NULL,
  starred_columns = character(0),
  variable_labels = character(0),
  custom_columns = NULL
)

Arguments

.data

list of column_format objects

accuracy

numeric (passed to scales::number)

intercept_text

describe intercept

starred_columns

which columns get p-value stars

variable_labels

named vector of variable names (with vector names as labels). For example, c(⁠Parental Income⁠ = "parental_income", ⁠Number of Siblings⁠ = "n_siblings")

custom_columns

named list of column_formats to add or replace existing columns

Value

column_formats

Slots

get_column_names: getter for column names
get_headers: getter for column headers
get_latex: getter for column latex headers
get_formatters: getter for column formatters
get_header_rename: getter for column names with headers as names
get_header_rename_latex: getter for column names with latex headers as names
get_tibble: getter for tibble with column names, headers, latex headers, and formatters

Examples

my_formatter <- column_formats()
my_formatter$Coefficient@formatter <- \(x) round(x, 2)
my_formatter$Coefficient@formatter(2.214)

Prepend column spanner labels to data column labels

Description

Prepend column spanner labels to data column labels

Usage

column_spanner_label(data, label, ..., relocate = TRUE)

Arguments

data

data.frame or tibble

label

character of column spanner

...

columns (i.e., one or more tidyselect functions and/or a vector of quoted or unquoted variable names)

relocate

relocate columns with same spanner label to be adjacent

Value

data.frame or tibble

Examples

d <- data.frame(y = 1:3, x1 = 2:4, x2 = 3:5)

# Unquoted variable names
column_spanner_label(d, "Label", c(x1, x2))
# Character values (quoted variable names)
column_spanner_label(d, "Label", c("x1", "x2"))
# Tidyselect function (e.g., starts_with, ends_with, contains)
column_spanner_label(d, "Label", dplyr::starts_with("x"))
# Tidyselect range
column_spanner_label(d, "Label", x1:x2)
# Selected variables are relocated after the first selected variable
column_spanner_label(d, "Label", c(x2, y))

Return markdown text with hanging indent

Description

Return markdown text with hanging indent

Usage

hanging_indent(
  x,
  indent = 4,
  width = 30,
  space = NULL,
  newline = "\\\\\n",
  whitespace_only = FALSE,
  wrap_equal_width = FALSE
)

Arguments

x

text

indent

number of spaces to indent

width

number of characters to break lines

space

indenting space character (defaults to non-breaking space)

newline

text for creating new line

whitespace_only

wrapping spaces only

wrap_equal_width

Attempts to split lines to make them of approximately equal width

Value

character vector

Examples

hanging_indent("Hello Darkness, my old friend. I've come to talk with you again.")

Installs the apaquarto extension.

Description

A wrapper for quarto::quarto_add_extension

Usage

install_apaquarto(no_prompt = FALSE, quiet = FALSE, quarto_args = NULL)

Arguments

no_prompt

Do not prompt to confirm approval to download external extension.

quiet

Suppress warning and other messages

quarto_args

Character vector of other quarto CLI arguments to append to the Quarto command executed by this function.

Value

installs the apaquarto Quarto extension

Examples

## Not run: 
install_apaquarto()

## End(Not run)

Tests if a character vector contains numeric-like values

Description

Tests if a character vector contains numeric-like values

Usage

is_numeric_like(x, elementwise = FALSE)

Arguments

x

character vector

elementwise

if TRUE, returns a logical vector for each element, otherwise returns a single logical value indicating if all elements are numeric-like (default: FALSE)

Value

logical vector

Examples

is_numeric_like(c("-9", " 2.0", "-1.0 "))
is_numeric_like(c("9-", -1, "10"))
is_numeric_like(c("9", -1.2, "10"))

Run shiny app to make a document in APA style via Quarto

Description

A wrapper for shiny::runGitHub

Usage

make_apaquarto(launch.browser = TRUE)

Arguments

launch.browser

run shiny app in default browser

Value

Runs a shiny app that creates apaquarto documents

Examples

## Not run: 
make_apaquarto()

## End(Not run)

Pads text on the left or right so that the width is the same for each element of the vector

Description

Pads text on the left or right so that the width is the same for each element of the vector

Usage

num_pad(x, pad_left = TRUE, padding_character = "&numsp;", NA_value = "")

Arguments

x

vector of text

pad_left

if TRUE (default), pads on the left, otherwise pads on the right

padding_character

character to use for padding, default is ⁠&numsp;⁠ (figure space)

NA_value

value to replace NA

Value

character vector

Examples

num_pad(c("a", "bb"))

Convert p-values to stars

Description

Convert p-values to stars

Usage

p2stars(
  p,
  alpha = c(0.05, 0.01, 0.001),
  first_alpha_marginal = FALSE,
  superscript = FALSE,
  add_trailing_space = FALSE,
  prefix = "\\"
)

Arguments

p

vector of numbers

alpha

vector of thresholds

first_alpha_marginal

if TRUE, the first alpha value is treated as marginal and gets a dagger instead of a star

superscript

make as superscript

add_trailing_space

if TRUE, adds a trailing space after the stars (default: FALSE)

prefix

usually backslashes to prevent markdown from interpreting asterisks as bullets or italics

Value

character vector

Examples

p2stars(c(.32, .02, .005),
        alpha = c(.05, .01))

A wrapper for tidyr::pivot_wider that creates columns names as `name_variable` instead of `variable_name`

Description

The default for names_vary is "slowest" instead of the usual "fastest".

Usage

pivot_wider_name_first(
  data,
  ...,
  id_cols = NULL,
  id_expand = FALSE,
  names_from = name,
  names_prefix = "",
  names_sep = "_",
  names_sort = FALSE,
  names_vary = "slowest",
  names_expand = FALSE,
  names_repair = "check_unique",
  values_from = value,
  values_fill = NULL,
  values_fn = NULL,
  unused_fn = NULL
)

Arguments

data

A data frame to pivot.

...

Additional arguments passed on to methods.

id_cols

<tidy-select> A set of columns that uniquely identify each observation. Typically used when you have redundant variables, i.e. variables whose values are perfectly correlated with existing variables.

Defaults to all columns in data except for the columns specified through names_from and values_from. If a tidyselect expression is supplied, it will be evaluated on data after removing the columns specified through names_from and values_from.

id_expand

Should the values in the id_cols columns be expanded by expand() before pivoting? This results in more rows, the output will contain a complete expansion of all possible values in id_cols. Implicit factor levels that aren't represented in the data will become explicit. Additionally, the row values corresponding to the expanded id_cols will be sorted.

names_from, values_from

<tidy-select> A pair of arguments describing which column (or columns) to get the name of the output column (names_from), and which column (or columns) to get the cell values from (values_from).

If values_from contains multiple values, the value will be added to the front of the output column.

names_prefix

String added to the start of every variable name. This is particularly useful if names_from is a numeric vector and you want to create syntactic variable names.

names_sep

If names_from or values_from contains multiple variables, this will be used to join their values together into a single string to use as a column name.

names_sort

Should the column names be sorted? If FALSE, the default, column names are ordered by first appearance.

names_vary

When names_from identifies a column (or columns) with multiple unique values, and multiple values_from columns are provided, in what order should the resulting column names be combined?

"fastest" varies names_from values fastest, resulting in a column naming scheme of the form: ⁠value1_name1, value1_name2, value2_name1, value2_name2⁠. This is the default.
"slowest" varies names_from values slowest, resulting in a column naming scheme of the form: ⁠value1_name1, value2_name1, value1_name2, value2_name2⁠.

names_expand

Should the values in the names_from columns be expanded by expand() before pivoting? This results in more columns, the output will contain column names corresponding to a complete expansion of all possible values in names_from. Implicit factor levels that aren't represented in the data will become explicit. Additionally, the column names will be sorted, identical to what names_sort would produce.

names_repair

What happens if the output has invalid column names? The default, "check_unique" is to error if the columns are duplicated. Use "minimal" to allow duplicates in the output, or "unique" to de-duplicated by adding numeric suffixes. See vctrs::vec_as_names() for more options.

values_fill

Optionally, a (scalar) value that specifies what each value should be filled in with when missing.

This can be a named list if you want to apply different fill values to different value columns.

values_fn

Optionally, a function applied to the value in each cell in the output. You will typically use this when the combination of id_cols and names_from columns does not uniquely identify an observation.

This can be a named list if you want to apply different aggregations to different values_from columns.

unused_fn

Optionally, a function applied to summarize the values from the unused columns (i.e. columns not identified by id_cols, names_from, or values_from).

The default drops all unused columns from the result.

This can be a named list if you want to apply different aggregations to different unused columns.

id_cols must be supplied for unused_fn to be useful, since otherwise all unspecified columns will be considered id_cols.

This is similar to grouping by the id_cols then summarizing the unused columns using unused_fn.

Value

data.frame

Use flextable::dim_pretty to fit column widths

Description

Use flextable::dim_pretty to fit column widths

Usage

pretty_widths(
  x,
  min_width = 0.05,
  unit = c("in", "cm", "mm"),
  table_width = 6.5
)

Arguments

x

flextable

min_width

minimum width of columns

unit

Can be ⁠in⁠, cm, or mm

table_width

width of table

Value

flextable::flextable

Add columns that separate significance stars from numbers

Description

Add columns that separate significance stars from numbers

Usage

separate_star_column(
  data,
  ...,
  superscript = TRUE,
  star = "\\*",
  star_replace = "\\\\*"
)

Arguments

data

data.frame or tibble

...

Column name or tidyselect function. Select columns

superscript

make stars superscript

star

character to use for stars (default: "\*")

star_replace

character to replace stars with (default: "\\*")

Value

data.frame or tibble

Examples

tibble::tibble(x = c(".45", ".58*", ".68**"),
               y = c(1,2,3),
               z = 4:6) |>
               separate_star_column(x)

Prefix text with figure spaces to balance star text

Description

Prefix text with figure spaces to balance star text

Usage

star_balance(x, star = "\\*", superscript = TRUE)

Arguments

x

character vector

star

star text

superscript

Place superscript text if TRUE

Value

character vector

Examples


star_balance(".05\\^\\*\\*\\^")

Like `stringr::str_wrap`, but attempts to create lines of equal width

Description

Like stringr::str_wrap, but attempts to create lines of equal width

Usage

str_wrap_equal(x, max_width = 30L, sep = "\n")

Arguments

x

character

max_width

maximum line width

sep

separation character

Value

character

Examples

str_wrap_equal("This function attempts to split the string into lines with roughly equal width.")

Surrounds text with tags unless empty

Description

Surrounds text with tags unless empty

Usage

tagger(x, tag = "<span>", right_tag = gsub("^<", "</", tag))

bold_md(x)

italic_md(x)

superscript_md(x)

subscript_md(x)

header_md(x, level = 1)

Arguments

x

character vector

tag

opening tag, e.g., ⁠<span>⁠

right_tag

closing tag, e.g., ⁠</span>⁠. Defaults to the same value as the opening tag.

level

heading level

Value

character vector

Examples

x <- c("hello", "", NA)
tagger(x, "<span>")
bold_md(x)
italic_md(x)
superscript_md(x)
subscript_md(x)
header_md("Level 1")
header_md("Level 2", 2)

apa7: Facilitate Writing Documents in American Psychological Association Style, Seventh Edition

Description

Author(s)

See Also

Add break columns

Description

Usage

Arguments

Value

Examples

Make a column into a list column

Description

Usage

Arguments

Value

Examples

Adds stars next to a column based on p-values

Description

Usage

Arguments

Value

Examples

Align text on center text (default is decimal)

Description

Usage

Arguments

Value

Examples

Set defaults for apa7 package

Description

Usage

Arguments

Value

Examples

Make contingency table with chi-square test of independence

Description

Usage

Arguments

Value

Examples

APA-formatted correlation table

Description

Usage

Arguments

Value

Examples

Convert data to flextable consistent with APA style

Description

Usage

Arguments

Details

Value

Examples

Format data columns

Description

Usage

Arguments

Value

Examples

print loadings

Description

Usage

Arguments

Value

p-value in APA format

Description

Usage

Arguments

Value

Examples

Make star notes for p-values

Description

Usage

Arguments

Value

Examples

format model parameters in APA style

Description

Usage

Arguments

Style `flextable::flextable` object according to APA style