standardize {scan} | R Documentation |
Standardize values of an scdf file
Description
This function is superseded by the much more versatile
transform.scdf
function (see example below).
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 |
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 standard deviation of all values across all single-cases within the scdf. |
Value
An scdf with the scaled values.
Author(s)
Juergen Wilbert
See Also
Other data manipulation functions:
add_l2()
,
as.data.frame.scdf()
,
as_scdf()
,
fill_missing()
,
moving_median()
,
outlier()
,
ranks()
,
scdf()
,
select_cases()
,
set_vars()
,
shift()
,
smooth_cases()
,
truncate_phase()
Examples
## Standardize a multiple case scdf and compute an hplm
exampleAB_50 %>%
standardize("values", center = TRUE, scale = TRUE) %>%
hplm()
## The more versatile transform function supersedes standardize:
exampleAB_50 %>%
transform(values = (values - mean(all(values))) / sd(all(values))) %>%
hplm()