Description Usage Arguments Details Value References See Also Examples
Implements the criterion-related profile analysis described in Davison & Davenport (2002).
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formula |
An object of class |
data |
An optional data frame, list or environment containing the variables in the model. |
k |
Corresponds to the scalar constant and must be greater than 0. Defaults to 100. |
na.action |
How should missing data be handled? Function defaults to failing if missing data are present. |
family |
A description of the error distribution and link function to be used in the model. See |
weights |
An option vector of weights to be used in the fitting process. |
The cpa
function requires two arguments: criterion and predictors. The function returns the criterion-related
profile analysis described in Davison & Davenport (2002). Missing data are presently handled by specifying
na.action = "na.omit"
, which performs listwise deletion and na.action = "na.fail"
, the default,
which causes the function to fail. The following S3 generic functions are available: summary()
,anova()
,
print()
, and plot()
. These functions provide a summary of the analysis (namely, R2 and the level a
nd pattern components); perform ANOVA of the R2 for the pattern, the level, and the overall model; provide
output similar to lm()
, and plots the pattern effect.
An object of class critpat
is returned, listing the following components:
lvl.comp
- the level component
pat.comp
- the pattern component
b
- the unstandardized regression weights
bstar
- the mean centered regression weights
xc
- the scalar constant times bstar
k
- the scale constant
Covpc
- the pattern effect
Ypred
- the predicted values
r2
- the proportion of variability attributed to the different components
F.table
- the associated F-statistic table
F.statistic
- the F-statistics
df
- the df used in the test
pvalue
- the p-values for the test
Davison, M., & Davenport, E. (2002). Identifying criterion-related patterns of predictor scores using multiple regression. Psychological Methods, 7(4), 468-484. DOI: 10.1037/1082-989X.7.4.468.
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