Creates a table to calculate scores in specified standardized
scale for each discrete raw score. Uses normalization provided by
FrequencyTable() and scale definition created with
StandardScale().
After creation it can be used to normalize and standardize raw scores with
normalize_score() or normalize_scores_df().
plot.ScoreTable() method requires ggplot2 package to be installed.
Usage
ScoreTable(ft, scale)
# S3 method for ScoreTable
print(x, ...)
# S3 method for ScoreTable
plot(x, scale_name = NULL, ...)
Value
object of class ScoreTable. Consists of:
table: data.frame containing for each point in the raw score:
number of observations (n),
frequency in sample (freq),
quantile (quan),
normalized Z-score (Z),
score transformed to every of provided StandardScales
status: list containing the total number of simulated observations (n)
and information about raw scores range completion (range): complete or incomplete
scale: named list of all attached StandardScale objects \
Arguments
ft
a FrequencyTable object
scale
a StandardScale object or list of multiple StandardScale objects
x
a ScoreTable object
...
further arguments passed to or from other methods
scale_name
if scores for multiple scales available, provide the name
of the scale for plotting.
# firstly compute FrequencyTable for a variableft <- FrequencyTable(HEXACO_60$HEX_A)
# then create a ScoreTablest <- ScoreTable(ft, STEN)
# ScoreTable is ready to use!st