standard_score: Standardized scores

In jmbarbone/qpm: Quantitative Psychological Methods

Description

Formula and base for supporting standardized scoring.

Usage

standard_score(
  x,
  .center,
  .spread,
  st_mult = 1,
  st_add = 0,
  na.rm = FALSE,
  ...
)

z_score(
  x,
  method = c("sample", "population"),
  na.rm = FALSE,
  standardized = FALSE,
  ...
)

t_score(
  x,
  method = c("sample", "population"),
  na.rm = FALSE,
  standardized = FALSE,
  ...
)

Arguments

x	A numeric vector
.center	A function for centering
.spread	A function for spread
st_mult	A multiplier to adjust the center
st_add	A constant to add to the result
...	Additional arguments passed down to functions
method	Sample or population (partial matches acceptable)
standardized	Logical, if true uses 'sterr' rather than 'stdev' as '.spread'

Details

A general function to creating standardized scores is provides in 'standard_score()'. Two special cases, 'z_score()' and 't_score()' are provided using this template.

Examples

standard_score(c(1:10, NA), mean, sd, na.rm = TRUE)

jmbarbone/qpm documentation built on July 25, 2020, 10:41 p.m.