explorer: Explore data
In flexFitR: Flexible Non-Linear Least Square Model Fitting

explorer

R Documentation

Explore data

Description

Explores data from a data frame in wide format.

Usage

explorer(data, x, y, id, metadata)

Arguments

`data`	A `data.frame` containing the input data for analysis.
`x`	The name of the column in `data` that contains x points.
`y`	The names of the columns in `data` that contain the variables to be analyzed.
`id`	The names of the columns in `data` that contains a grouping variable.
`metadata`	The names of the columns in `data` to keep across the analysis.

Details

This function helps to explore the dataset before being analyzed with modeler().

Value

An object of class explorer, which is a list containing the following elements:

summ_vars: A data.frame containing summary statistics for each trait at each x point, including minimum, mean, median, maximum, standard deviation, coefficient of variation, number of non-missing values, percentage of missing values, and percentage of negative values.
summ_metadata: A data.frame summarizing the metadata.
locals_min_max: A data.frame containing the local minima and maxima of the mean y values over x.
dt_long: A data.frame in long format, with columns for uid, metadata, var, x, and y
metadata: A character vector with the names of the variables to keep across.

Examples

library(flexFitR)
data(dt_potato)
results <- dt_potato |>
  explorer(
    x = DAP,
    y = c(Canopy, GLI),
    id = Plot,
    metadata = c(gid, Row, Range)
  )
names(results)
head(results$summ_vars)
plot(results, label_size = 4, signif = TRUE, n_row = 2)
# New data format
head(results$dt_long)

flexFitR documentation built on April 16, 2025, 5:09 p.m.