Description Usage Arguments Value Note Author(s) Examples
Returns a matrix which contains a summary of the ASCA results. Each row in the matrix contains results for one factor or interaction studied in the performed ASCA. The columns contain the relevant principal components (PC's) found and the amount of variance explained per PC. A max of 10 PC's are shown, and only those PC's which explain more than 1% of the variance.
1 | ASCA.GetSummary(asca, quietly = FALSE)
|
asca |
The result of an already performed ASCA by ASCA.Calculate |
quietly |
boolean. If |
summary |
A matrix containing the variance explained per component per factor or interaction. |
Output of ASCA.Calculate is required.
Tim Dorscheidt
1 2 3 4 5 6 7 8 |
Loading required package: MASS
Loading required package: abind
Loading required package: pls
Attaching package: 'pls'
The following object is masked from 'package:stats':
loadings
Variance explained per principal component (if >1%):
Whole data set PC1: 52.84% PC2: 22.89% PC3: 18.92% PC4: 5.34%
Factor 1 PC1: 100.00% PC2: NA% PC3: NA% PC4: NA%
Factor 2 PC1: 91.34% PC2: 8.66% PC3: NA% PC4: NA%
Interaction 12 PC1: 88.72% PC2: 11.28% PC3: NA% PC4: NA%
Percentage each effect contributes to the total sum of squares:
Overall means 0.96%
Factor 1 0.00%
Factor 2 0.00%
Interaction 12 0.00%
Residuals 0.00%
Percentage each effect contributes to the sum of squares of the centered data:
Factor 1 0.00%
Factor 2 0.00%
Interaction 12 0.00%
Residuals 0.00%
Variance explained per principal component (if >1%):
Whole data set PC1: 52.84% PC2: 22.89% PC3: 18.92% PC4: 5.34%
Factor 1 PC1: 100.00% PC2: NA% PC3: NA% PC4: NA%
Factor 2 PC1: 91.34% PC2: 8.66% PC3: NA% PC4: NA%
Interaction 12 PC1: 88.72% PC2: 11.28% PC3: NA% PC4: NA%
Percentage each effect contributes to the total sum of squares:
Overall means 0.96%
Factor 1 0.00%
Factor 2 0.00%
Interaction 12 0.00%
Residuals 0.00%
Percentage each effect contributes to the sum of squares of the centered data:
Factor 1 0.00%
Factor 2 0.00%
Interaction 12 0.00%
Residuals 0.00%
$summary.pca
PC1 PC2 PC3 PC4
data 0.5284457 0.22893154 0.189173 0.05344977
1 1.0000000 NA NA NA
2 0.9133702 0.08662983 NA NA
12 0.8871602 0.11283977 NA NA
$summary.ssq
Overall means 1 2 12
Contribution to ssq 0.009555144 2.465465e-05 1.609305e-05 7.348948e-06
Residuals
Contribution to ssq 3.198811e-05
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