pcanova_plots {HDANOVA} | R Documentation |
PC-ANOVA Result Methods
Description
Various plotting procedures for pcanova
objects.
Usage
## S3 method for class 'pcanova'
scoreplot(object, factor = 1, comps = 1:2, col = "factor", ...)
Arguments
object |
|
factor |
|
comps |
|
col |
|
... |
additional arguments to underlying methods. |
Details
Usage of the functions are shown using generics in the examples in pcanova
.
Plot routines are available as
scoreplot.pcanova
and loadingplot.pcanova
.
Value
The plotting routines have no return.
References
Luciano G, Næs T. Interpreting sensory data by combining principal component analysis and analysis of variance. Food Qual Prefer. 2009;20(3):167-175.
See Also
Main methods: asca
, apca
, limmpca
, msca
, pcanova
, prc
and permanova
.
Workhorse function underpinning most methods: hdanova
.
Extraction of results and plotting: asca_results
, asca_plots
, pcanova_results
and pcanova_plots