Description Usage Arguments Details Value Author(s) See Also Examples

Smooth columns of matrix by non-robust loess curves of degree 0.

1 2 | ```
loessByCol(y, x=NULL, span=0.5)
locfitByCol(y, x=NULL, weights=1, span=0.5, degree=0)
``` |

`y` |
numeric matrix of response variables. |

`x` |
numeric covariate vector of length |

`span` |
width of the smoothing window, in terms of proportion of the data set. Larger values produce smoother curves. |

`weights` |
relative weights of each observation, one for each covariate value. |

`degree` |
degree of local polynomial fit |

Fits a loess curve with degree 0 to each column of the response matrix, using the same covariate vector for each column. The smoothed column values are tricube-weighted means of the original values.

`locfitByCol`

uses the `locfit.raw`

function of the `locfit`

package.

A list containing a numeric matrix with smoothed columns and a vector of leverages for each covariate value.

`locfitByCol`

returns a numeric matrix.

Aaron Lun for `loessByCol`

, replacing earlier R code by Davis McCarthy. Gordon Smyth for `locfitByCol`

.

1 2 3 4 | ```
y <- matrix(rnorm(100*3), nrow=100, ncol=3)
head(y)
out <- loessByCol(y)
head(out$fitted.values)
``` |

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