# Plot scores from a fitted PPCA model

### Description

A function to plot the scores resulting from fitting a PPCA model to metabolomic data.

### Usage

1 | ```
ppca.scores.plot(output, group = FALSE)
``` |

### Arguments

`output` |
An object resulting from fitting a PPCA model. |

`group` |
Should it be relevant, a vector indicating the known treatment group membership of each observation. |

### Details

This function produces a series of scatterplots each illustrating the estimated score for each observation within the reduced q dimensional space. The uncertainty associated with the score estimate is also illustrated through its 95

It is often the case that observations are known to belong to treatment groups; the treatment group membership of each observation can be illustrated on the plots produced by utilizing the ‘group’ argument.

### Author(s)

Nyamundanda Gift, Isobel Claire Gormley and Lorraine Brennan

### References

Nyamundanda, G., Gormley, I.C. and Brennan, L. (2010) Probabilistic principal components analysis for metabolomic data. Technical report. University College Dublin, Ireland.

### See Also

`ppca.metabol`

, `ppca.metabol.jack`