ssFit: smoothing-splines anova fit

In metagenomeSeq: Statistical analysis for sparse high-throughput sequencing

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. Of the form: abundance ~ ... where ... includes any pData slot value.
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

metagenomeSeq documentation built on Nov. 8, 2020, 5:34 p.m.