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[Deprecated]

All functions in this package are deprecated. Please use the {cocoon} package instead.

format_summary() is a general function that allows you to either automatically calculate mean/median and a measure of error from a data vector or specify already calculated a mean/median and either an error interval or error limits. Error measures include confidence intervals, standard deviation, and standard error of the mean. Each of those has a specific function that formats means and those error measures using APA (7th edition) style. So format_meanci(), format_meansd(), format_meanse(), and format_medianiqr() are wrappers around format_summary() for specific error measures with a default style. To just format the mean or median with no error, use format_mean() or format_median(). All measures ignore NAs.

Usage

format_summary(
  x = NULL,
  tendency = "mean",
  error = "ci",
  values = NULL,
  digits = 1,
  tendlabel = "abbr",
  italics = TRUE,
  subscript = NULL,
  units = NULL,
  display = "limits",
  cilevel = 0.95,
  errorlabel = TRUE,
  type = "md"
)

format_mean(
  x = NULL,
  tendency = "mean",
  values = NULL,
  digits = 1,
  tendlabel = "abbr",
  italics = TRUE,
  subscript = NULL,
  units = NULL,
  display = "none",
  type = "md"
)

format_meanci(
  x = NULL,
  tendency = "mean",
  error = "ci",
  values = NULL,
  digits = 1,
  tendlabel = "abbr",
  italics = TRUE,
  subscript = NULL,
  units = NULL,
  display = "limits",
  cilevel = 0.95,
  errorlabel = TRUE,
  type = "md"
)

format_meanse(
  x = NULL,
  tendency = "mean",
  error = "se",
  values = NULL,
  digits = 1,
  tendlabel = "abbr",
  italics = TRUE,
  subscript = NULL,
  units = NULL,
  display = "par",
  errorlabel = TRUE,
  type = "md"
)

format_meansd(
  x = NULL,
  tendency = "mean",
  error = "sd",
  values = NULL,
  digits = 1,
  tendlabel = "abbr",
  italics = TRUE,
  subscript = NULL,
  units = NULL,
  display = "par",
  errorlabel = TRUE,
  type = "md"
)

format_median(
  x = NULL,
  tendency = "median",
  values = NULL,
  digits = 1,
  tendlabel = "abbr",
  italics = TRUE,
  subscript = NULL,
  units = NULL,
  display = "none",
  type = "md"
)

format_medianiqr(
  x = NULL,
  tendency = "median",
  error = "iqr",
  values = NULL,
  digits = 1,
  tendlabel = "abbr",
  italics = TRUE,
  subscript = NULL,
  units = NULL,
  display = "par",
  errorlabel = TRUE,
  type = "md"
)

Arguments

x

Numeric vector of data to calculate mean and error

tendency

Character vector specifying measure of central tendency ("mean" = mean, "median" = median)

error

Character vector specifying error type ("ci" = confidence interval, "se" = standard error of the mean, "sd" = standard deviation, "iqr" = interquartile range)

values

Numeric vector of mean and interval or mean and lower and upper limits

digits

Number of digits after the decimal for means and error

tendlabel

Formatting for tendency label ("abbr" = M, "word" = Mean, "none" = no label)

italics

Logical for whether mean label should be italicized

subscript

Character string to include as subscript with mean label

units

Character string that gives units to include after mean value

display

Character vector specifying how to display error ("limits" = [lower limit, upper limit], "pm" = ±interval, "par" = (interval), "none" = do not display error)

cilevel

Numeric scalar from 0-1 defining confidence level (defaults to 0.95)

errorlabel

Logical for whether error label (e.g., 95% CI) should be included

type

Type of formatting ("md" = markdown, "latex" = LaTeX)

Value

A character string of mean and error formatted in Markdown or LaTeX. To return only the mean (no error), set display = "none".

Examples

# Print mean and 95% confidence limits for fuel efficiency
format_meanci(mtcars$mpg)
#> Warning: `format_meanci()` was deprecated in formatstats 0.0.0.9000.
#>  Please use `cocoon::format_meanci()` instead.
#> Warning: `format_summary()` was deprecated in formatstats 0.0.0.9000.
#>  Please use `cocoon::format_summary()` instead.
#>  The deprecated feature was likely used in the formatstats package.
#>   Please report the issue at
#>   <https://github.com/JeffreyRStevens/formatstats/issues>.
#> [1] "_M_ = 20.1, 95% CI [17.9, 22.3]"
# Print mean and standard deviation
format_meansd(mtcars$mpg)
#> Warning: `format_meansd()` was deprecated in formatstats 0.0.0.9000.
#>  Please use `cocoon::format_meansd()` instead.
#> [1] "_M_ = 20.1 (_SD_ = 6.0)"
# Print mean and standard error of the mean
format_meanse(mtcars$mpg)
#> Warning: `format_meanse()` was deprecated in formatstats 0.0.0.9000.
#>  Please use `cocoon::format_meanse()` instead.
#> [1] "_M_ = 20.1 (_SE_ = 1.1)"
# Print mean
format_mean(mtcars$mpg)
#> Warning: `format_mean()` was deprecated in formatstats 0.0.0.9000.
#>  Please use `cocoon::format_mean()` instead.
#> [1] "_M_ = 20.1"
# Print mean and 95% confidence limits with no label for "95% CI"
format_meanci(mtcars$mpg, errorlabel = FALSE)
#> [1] "_M_ = 20.1,  [17.9, 22.3]"
# Print mean and standard error of the mean as plus/minus interval
format_meanse(mtcars$mpg, error = "se", display = "pm")
#> [1] "_M_ = 20.1 ± 1.1"
# Print mean and 90% confidence limits with units
format_meanci(mtcars$mpg, units = "cm", cilevel = 0.9)
#> [1] "_M_ = 20.1 cm, 90% CI [18.3, 21.9]"
# Print three-digit mean with subscript in LaTeX
format_summary(mtcars$mpg, digits = 3, subscript = "control", display = "none", type = "latex")
#> [1] "$M$$_{control}$ = 20.091"