fit_nonlinear {proBatch} | R Documentation

## Fit a non-linear trend

### Description

Fit a non-linear trend

### Usage

    fit_nonlinear(dataDF, batch.size, response.var = "y", expl.var = "x",
      noFitRequants = FALSE, fitFunc = "loess_regression",
      with_df = FALSE, abs_threshold = 5, pct_threshold = 0.2, ...)

### Arguments

`dataDF` | data frame containing response variable e.g. samples in order and explanatory variable e.g. measurement
`batch.size` | the total number of samples in the batch to compute for percentage threshold
`response.var` | the name of the column in dataDF with the response variable
`expl.var` | the name of the column in dataDF with the explanatory variable
`noFitRequants` | (logical) whether to fit requanted values
`fitFunc` | function to use for the fit (`loess_regression`)
`with_df` | logical, whether to specify span by enp.target using approximately equivalent number of parameters
`abs_threshold` | the absolute threshold to filter data for curve fitting
`pct_threshold` | the percentage threshold to filter data for curve fitting
`...` | additional paramters to be passed to the fitting function

### Value

vector of fitted response values

[Package proBatch version 1.0.0 Index]