get_peaks_counts_continuous

This function allows you to get peaks and summary counts per group for a continuos variable in a dataframe format.
Handles ties; least frequent is ignored, except if it is the only
one, depends on <code>get.peaks</code> function

peaks

Modifies dot plots to have different sizes of dots mimicking violin plots and identifies
modes or peaks for them based on frequency and kernel density estimates
(Rosenblatt, 1956) <doi:10.1214/aoms/1177728190> (Parzen, 1962) <doi:10.1214/aoms/1177704472>.

Fernando Roa

dotsViolin

Dot Plots Mimicking Violin Plots

Mariana Pires de Campos Telles

get_peaks_counts_continuous function

<dl><dt>origtable</dt>
<dd>dataframe</dd>
<dt>grouping_col</dt>
<dd>column with categories - character</dd>
<dt>columnname</dt>
<dd>column with numerical data</dd>
<dt>peak_number</dt>
<dd>number of peaks to get, see get.peaks</dd>
<dt>adjust1</dt>
<dd>bandwith adjust parameter</dd>
<dt>signifi</dt>
<dd>see get.peaks function</dd>
<dt>nsmall</dt>
<dd>see get.peaks function</dd></dl>

Arguments

Peaks of a continuous variable in a dataframe format — get_peaks_counts_continuous

<dl>

<dt>origtable</dt>
<dd>dataframe</dd>


<dt>grouping_col</dt>
<dd>column with categories - character</dd>


<dt>columnname</dt>
<dd>column with numerical data</dd>


<dt>peak_number</dt>
<dd>number of peaks to get, see get.peaks</dd>


<dt>adjust1</dt>
<dd>bandwith adjust parameter</dd>


<dt>signifi</dt>
<dd>see get.peaks function</dd>


<dt>nsmall</dt>
<dd>see get.peaks function</dd>

</dl>

get_peaks_counts_continuous: Peaks of a continuous variable in a dataframe format

Description

Usage

Value

Arguments

Examples