scan: standardize – R documentation

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standardize

Standardize values of an scdf file

Description

This function scales the measured values of an scdf file. It allows for mean centering and standardization based on each single-case data set or a scaling across all cases included in an scdf.

Usage

standardize(
  data,
  var,
  center = TRUE,
  scale = FALSE,
  m = 0,
  sd = 1,
  grand = TRUE
)

Arguments

`data`	A single-case data frame. See `scdf` to learn about this format.
`var`	A character string or a vector of character strings with variable names that should be scaled.
`center`	If set TRUE, data are mean centered.
`scale`	If set TRUE, the standard deviation is set.
`m`	The target mean for centering.
`sd`	The target standard deviation for scaling
`grand`	If set TRUE, scaling is based on the mean and standarddeviation of all measurements across all single-cases within the scdf.

Value

An scdf with the scaled values.

Author(s)

Juergen Wilbert

Examples

## Standardize a multiple case scdf and compute an hplm
ex_sc <- standardize(exampleAB_50, var = "values", center = TRUE, scale = TRUE)
hplm(ex_sc)

scan

Single-Case Data Analyses for Single and Multiple Baseline Designs

v0.51

GPL

Authors

Juergen Wilbert [aut, cre], Timo Lueke [aut]

Initial release

2021-2-11