forceR (version 1.0.20)

red_peaks_100: Reduce Peaks

Description

Reduces curves to 100 observations per peak.

Usage

red_peaks_100(
  df,
  plot.to.screen = FALSE,
  path.data = NULL,
  path.plots = NULL,
  show.progress = FALSE
)

Value

This function returns a tibble with a similar format as df, but the columns t, force, t.norm and force.norm are replaced by the columns index, ranging from 1 to 100, and force.norm.100, containing the rescaled force data ranging from 0 to 1. Since the time series has been reduced to 100 observations, this tibble will always contain 100 rows per peak.

Arguments

df

The resulting tibble of the function rescale_peaks(). The columns species, specimen, measurement, peak, and force.norm must be present. See ?rescale_peaks for more details.

plot.to.screen

A logical value indicating if results should be plotted in the current R plot device. Default: FALSE.

path.data

A string character defining where to save the results. If NULL, data will not be saved to disk. Default: NULL.

path.plots

A string character defining where to save result plots. If NULL, plots will not be saved to disk. Default: NULL.

show.progress

A logical value indicating if progress should be printed to the console. Default: FALSE.

<code>df</code> needs to contain the following columns:

force	measurement	peak
force.norm.norm.1	measurement.1	peak.1
...	...	...
force.norm.n	measurement.m	peak.n

Examples

# Using the forceR::df.all.200.tax dataset:
peaks.df.norm.100 <- red_peaks_100(df = forceR::peaks.df.norm,
                                   path.data = NULL,
                                   path.plots = NULL,
                                   show.progress = FALSE)

peaks.df.norm.100