Non-linear Models II

This webpage performs non-linear regression using the R packages statforbiology and drc. These packages provide a range of selfstarting functions, i.e. they find appropriate initial parameter guesses making things much easier. If you need more advanced modeling try acetabulum.dk where you can specify your own model, parameters and initial values.
June 2026.

DATA

N-row × N-col matrix

First row must contain column names (unquoted).
Column values separated by comma or tab

Cases separated by new line

Use NA for missing value

First column: independent variable second column dependent variable

Entry

Manual entry

Copy/paste (eg. from spreadsheet)

Load CSV file

1

Specifications:

Dependent variable ~ Independent variable

The model must contain the '~' (tilde symbol) separating the two variables

Model

Selfstarter function You really should read help => ℹ

Confidence level %

X-Y plot only Depicts the original data

Number of boot samples

Increasing the number of bootstrap samples results in more precise CI estimation but increase the risk of non-converging samples and the calculation may take considerable more time.

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Dependent variable ~ Independent variable The model must contain the '~' (tilde symbol) separating the two variables
Model
Selfstarter function	You really should read help =>	ℹ
Confidence level	%
X-Y plot only	Depicts the original data
Number of boot samples
Increasing the number of bootstrap samples results in more precise CI estimation but increase the risk of non-converging samples and the calculation may take considerable more time.