mt_standardize | R Documentation |
Standardize selected mouse-tracking measures across all trials or per level of one or more other variable, and store them in new variables. This function is a thin wrapper around scale_within, focussed on mouse-tracking data stored in a mousetrap data object.
mt_standardize(
data,
use = "measures",
use_variables = NULL,
within = NULL,
prefix = "z_",
center = TRUE,
scale = TRUE
)
data |
a mousetrap data object created using one of the mt_import functions (see mt_example for details). |
use |
a character string specifying which data should be used. By
default points to the |
use_variables |
a vector specifying which variables should be standardized. If unspecified, all variables will be standardized. |
within |
an optional character string specifying one or more variables
in |
prefix |
a character string that is inserted before each standardized variable. If an empty string is specified, the original variables are replaced. |
center |
argument passed on to scale. |
scale |
argument passed on to scale. |
A mousetrap data object (see mt_example) including the standardized measures.
Pascal J. Kieslich
Felix Henninger
mt_scale_trajectories for standardizing variables in mouse trajectory arrays.
scale_within which is called by mt_standardize
.
scale for the R base scale function.
mt_example <- mt_measures(mt_example)
# Standardize MAD and AD per subject
mt_example <- mt_standardize(mt_example,
use_variables=c("MAD", "AD"),
within="subject_nr", prefix="z_")
# Standardize MAD and AD per subject and Condition
mt_example <- mt_standardize(mt_example,
use_variables=c("MAD", "AD"),
within=c("subject_nr", "Condition"),
prefix="z_")
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