Create a rich-formatted table from a nls object — tabularise

This method extracts and formats an nls object, similar to print(), but in flextable object.

Usage

# S3 method for nls
tabularise_default(
  data,
  header = TRUE,
  title = NULL,
  equation = header,
  footer = TRUE,
  lang = getOption("data.io_lang", "en"),
  ...,
  kind = "ft",
  env = parent.frame()
)

Arguments

data: An nls object.
header: If TRUE (by default), add a title to the table.
title: If TRUE, add a title to the table header. Default to the same value than header, except outside of a chunk where it is FALSE if a table caption is detected (tbl-cap YAML entry).
equation: Add equation of the model to the table. If TRUE, equation() is used. The equation can also be passed in the form of a character string (LaTeX equation).
footer: If TRUE (by default), add a footer to the table.
lang: The language to use. The default value can be set with, e.g., options(data.io_lang = "fr") for French.
...: Additional arguments. Not used.
kind: The kind of table to produce: "tt" for tinytable, or "ft" for flextable (default).
env: The environment where to evaluate lazyeval expressions (unused for now).

Value

A flextable object that you can print in different forms or rearrange with the {flextable} functions.

Examples

data("ChickWeight", package = "datasets")
chick1 <- ChickWeight[ChickWeight$Chick == 1, ]
# Adjust a logistic curve
chick1_logis <- nls(data = chick1, weight ~ SSlogis(Time, Asym, xmid, scal))

tabularise::tabularise(chick1_logis)
Nonlinear least squares  logistic model
NA
Asym xmid scal
937 35.2 11.4
Residual sum-of-squares : 76.66
Number of iterations to convergence : 0
Achieved convergence tolerance : 7.343e-06

Nonlinear least squares logistic model
NA
Asym	xmid	scal
937	35.2	11.4
Residual sum-of-squares : 76.66
Number of iterations to convergence : 0
Achieved convergence tolerance : 7.343e-06