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scan (version 0.51)

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.

See Also

Other data manipulation functions: fill_missing(), longSCDF(), outlier(), ranks(), shift(), smooth_cases(), truncate_phase()

Examples

Run this code
# NOT RUN {
## Standardize a multiple case scdf and compute an hplm
ex_sc <- standardize(exampleAB_50, var = "values", center = TRUE, scale = TRUE)
hplm(ex_sc)
# }

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