moa-class {mogsa} | R Documentation

## Class `"moa"`

### Description

moa class object

### Objects from the Class

Objects can be created by calls of the form `new("moa", ...)`.

### Slots

`eig`:

  eigen values

`tau`:

  The percentage of explained variance by each datasets sparately.

`partial.eig`:

  matrix, rows indicate the partial eigenvalues from each data.

`eig.vec`:

  a matrix, eigenvectors.

`loading`:

  the coordinate of variables/features.

`fac.scr`:

  factor score of observations.

`partial.fs`:

  partial factor score.

`ctr.obs`:

  contribution of each observation to the total factor score.

`ctr.var`:

  contribution of each variables to the total variance.

`ctr.tab`:

  contribution of each data to the total variance.

`RV`:

  pairwise RV coefficients

`w.row`:

  weight of rows

`w.data`:

  weight of datasets

`data`:

  the original input data

`tab.dim`:

  the dimension of each input data

`call`:

  call

### Methods

plot

  `signature(x = "moa", y = "missing")`: Argument "value" sould be one of "eig", "tau", "obs", "var" and "RV"

  if value = "eig", the eigenvalue would be plotted as scree plot. The following arguments could be set:

  type=1 - The type of plot to show eigenvalues. (type=1: the eigenvalue are plotted; type=2: partial eigenvalue shown as concatenated bars; type=3: partial eigenvalue shown as bars side by side; type=4: matplot view of eigenvales, lty need to be set; type=5; the two dimensional plot of partial eigenvalues, axes and pch need to be set in this case.)

  axes=NULL - The axes selected to plot

  n=NULL - Top n eigenvalues to be drawn

  tol=1e-5 - The tolerance of eigenvalue, eigenvalues lower than this value will not be shown.

  legend=NULL - legend to put, a character string as calling legend function

  col=NULL - The color of partial eigenvalues from each data set

  lty=1 - The line type used in the matplot, used when type =4

  pch=NULL - the pch to draw 2D partial eigen plot, when type = 5 used

  lg.x="topright" - The position of legend

  lg.y=NULL - Poistion argument passed to function "legend"

  ... - other arguemnts passed to functions

  if value = "tau", the same with eig, but in the eigenvalues are scaled to 1

  if value = "obs", the observation space will be shown, the following argument could be set:

  axes=1:2 - Which axes should be draw

  type=1 - Which type, see below (for type=1: the center points draw; type=2: the separate factor scores linked by lines; ... will be passed to function "points")

  data.pch=20 - the pch of dataset, if type=1, the first one is used

  col=1 - the color of observations, recycled used by data.frame

  label=FALSE - A logical indicates if labels should be shown

  lg.x="topright" - Position of legend

  lg.y=NULL - Position of legend

  xlim=NULL - The x limit

  ylim=NULL - The y limit

  label.cex=1 - the cex of text

  ...

  var - the separate gene view, layout can be specified

  RV - the heatmap of RV coefficients

show

  `signature(x = "moa", y = "missing")`: show "moa" object

### Author(s)

Chen Meng

### References

Herve Abdi, Lynne J. Williams, Domininique Valentin and Mohammed Bennani-Dosse. STATIS and DISTATIS: optimum multitable principal component analysis and three way metric multidimensional scaling. WIREs Comput Stat 2012. Volume 4, Issue 2, pages 124-167

Herve Abdi, Lynne J. Williams, Domininique Valentin. Multiple factor analysis: principal component analysis for multitable and multiblock data sets. WIREs Comput Stat 2013

### Examples

        showClass("moa")
        # load("R/mogsa/data/NCI60_4arrays.rda")
        data(NCI60_4arrays)
        ana <- moa(NCI60_4arrays, proc.row = "center_ssq1", w.data = "inertia", statis = TRUE)

        plot(ana, value="eig")
        plot(ana, value="tau", type=2)

[Package mogsa version 1.21.0 Index]