Result Functions for Multiblock Objects

Standard result computation and extraction functions for multiblock objects.

# S3 method for multiblock
scores(object, block = 0, ...)

# S3 method for multiblock
loadings(object, block = 0, ...)

# S3 method for multiblock
print(x, ...)

# S3 method for multiblock
summary(object, ...)

Arguments

object

multiblock object.

block

integer/character for block selection.

...

Not implemented.

x

multiblock object.

Value

Scores or loadings are returned by scores.multiblock and loadings.multiblock, while print and summary methods invisibly returns the object.

Details

Usage of the functions are shown using generics in the examples below. Object printing and summary are available through: print.multiblock and summary.multiblock. Scores and loadings have their own extensions of scores() and loadings() throught scores.multiblock and loadings.multiblock.

See also

Overviews of available methods, multiblock, and methods organised by main structure: basic, unsupervised, asca, supervised and complex. Common functions for plotting are found in multiblock_plots, respectively.

Examples

data(wine)
sc <- sca(wine[c('Smell at rest', 'View', 'Smell after shaking')], ncomp = 4)
print(sc)
#> Simultaneous Component Analysis 
#> 
#> Call:
#> sca(X = wine[c("Smell at rest", "View", "Smell after shaking")],     ncomp = 4)
summary(sc)
#> Simultaneous Component Analysis 
#> =============================== 
#> 
#> $scores: Common scores (21x4)
#> $blockLoadings: Block loadings:
#> - Smell at rest (5x4), View (3x4), Smell after shaking (10x4)
head(loadings(sc, block = 1))
#>                                   Comp 1     Comp 2      Comp 3      Comp 4
#> Odor Intensity before shaking 0.19548267 -0.3267557  0.50138779 -0.09348863
#> Aroma quality before shaking  0.16311889  0.1296282  0.28552072  0.14894779
#> Fruity before shaking         0.12978290  0.1773340  0.34890797  0.26269486
#> Flower before shaking         0.05514227  0.1048857 -0.02986196 -0.47929451
#> Spice before shaking          0.04176668 -0.4175496  0.07332530  0.04104202
head(scores(sc))
#>       Comp 1      Comp 2      Comp 3       Comp 4
#> 1  0.4048505  0.14408310 -0.26713729 -0.221396684
#> 2 -1.2711617  0.25270420 -0.02202010 -0.533496550
#> 3 -0.7036213  0.06526523 -0.11229055  0.078719372
#> 4 -2.0075068 -0.45716224 -0.08211518 -0.007645878
#> 5  1.0467680  0.25398203  0.52254058 -0.029381096
#> 6  0.6670676  0.15451746 -0.58710038  0.050253448