metagenomeSeq (version 1.14.0)

ssFit: 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

• 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

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