remove_rows_n

[data.frame (numeric)]: longitudinal data.
Each row represents an individual trajectory (of observations).
The columns show the observations at consecutive time points.

traj

[numeric or character] Whether the first column
of the <code>traj</code> is a unique (<code>id</code>) field.
Default: <code>FALSE</code>. If <code>TRUE</code> the function recognises
the second column as the first time step.

id_field

[integer] Type of missing entries to remove.
<code>1</code> for 'NA', <code>2</code> for 'Inf', and <code>3</code> for both.
Default:<code>1</code>.

remove

This function removes any rows in which an 'NA'
or an 'Inf' entry is found. The function is also able to
remove records with 'Inf' entries, distinguishing it from
the popular 'na.omit()' function in R.

Advances a novel adaptation of longitudinal k-means clustering
technique (Genolini et al. (2015) <doi:10.18637/jss.v065.i04>)
for grouping trajectories based on the similarities of their
long-term trends and determines the optimal solution based
on either the average silhouette width (Rousseeuw P. J. 1987)
or the Calinski-Harabatz criterion (Calinski and Harabatz (1974)
<doi:10.1080/03610927408827101>). Includes functions to extract
descriptive statistics and generate a visualisation of the
resulting groups, drawing methods from the 'ggplot2' library (Wickham H. (2016)
<doi:10.1007/978-3-319-24277-4>). The package also includes a number of
other useful functions for exploring and manipulating longitudinal
data prior to the clustering process.

remove_rows_n: Removes rows that contain 'NA' and/or 'Inf' entries

Description

Usage

Arguments

Value

Details

Examples