Last data update: 2014.03.03

 R: smoothing-splines anova fit
ssFitR Documentation

smoothing-splines anova fit

Description

Sets up a data-frame with the feature abundance, class information, time points, sample ids and returns the fitted values for the fitted model.

Usage

ssFit(formula, abundance, class, time, id, include = c("class", "time:class"),
  pd, ...)

Arguments

formula

Formula for ssanova.

abundance

Numeric vector of abundances.

class

Class membership (factor of group membership).

time

Time point vector of relative times (same length as abundance).

id

Sample / patient id.

include

Parameters to include in prediction.

pd

Extra variable.

...

Extra parameters for ssanova function (see ?ssanova).

Value

A list containing:

  • data : Inputed data

  • fit : The interpolated / fitted values for timePoints

  • se : The standard error for CI intervals

  • timePoints : The time points interpolated over

See Also

cumNorm fitTimeSeries ssPermAnalysis ssPerm ssIntervalCandidate

Examples


# Not run

Results


Created & Maintained by Osamu Ogasawara (osamu.ogasawara@gmail.com) and IMSBIO