scores.prcurve {analogue} | R Documentation |

`scores`

method for principal curve objects of
class `"prcurve"`

.

### Description

A `scores`

method to extract the position on the
curve to which each observation projects (`display = "curve"`

) or
the coordinates of the curve in the dimensions of the input data
(`display = "dimensions"`

).

### Usage

```
## S3 method for class 'prcurve'
scores(x, display = c("curve", "dimensions"), ...)
```

### Arguments

`x` |
an object of class |

`display` |
character; which type of scores to
extract. |

`...` |
Arguments passed to other methods. Not used. |

### Value

If `display = "curve"`

a 1-column matrix is returned with a row
for each observation in the input data. If ```
display =
"dimensions"
```

, a matrix of coordinates for the principal curve is
returned. The dimensions of this matrix relate to the dimensions of
the input data; if there were `n`

samples (rows) and `m`

variables columns then the matrix returned by `scores.prcurve`

will have `n`

rows and `m`

columns.

### Author(s)

Gavin L. Simpson

### See Also

`prcurve`

for fitting principal curves to data.

### Examples

```
## Load the Abernethy Forest data set
data(abernethy)
## Remove the Depth and Age variables
abernethy2 <- abernethy[, -(37:38)]
## Fit the principal curve using varying complexity of smoothers
## for each species
aber.pc <- prcurve(abernethy2, method = "ca", trace = TRUE,
vary = TRUE, penalty = 1.4)
## Extract position on the curve
pos <- scores(aber.pc, display = "curve")
head(pos)
## Extract the coordinates of the curve
coord <- scores(aber.pc, display = "dimensions")
dim(coord)
all.equal(dim(coord), dim(abernethy2))
```

*analogue*version 0.17-6 Index]