plot_time_series_df: Plots all the time series stored in a data frame object

In TMixClust: Time Series Clustering of Gene Expression with Gaussian Mixed-Effects Models and Smoothing Splines

Description

plot_time_series_df allows the user to visualise the time series from a given data set.

Usage

plot_time_series_df(ts_df, time_points = seq_len(ncol(ts_df)),
  data_color = "#fd8d3c", x_label = "time", y_label = "value",
  plot_title = "Time series plot")

Arguments

ts_df	data frame containing on each row a time-series
time_points	vector containing the values of the time points. Default: seq_len(ncol(time_series_df)).
data_color	color of the time series to be used for the plot. Default is orange.
x_label	label of the x axis of the plot. Default is "time"
y_label	label of the y axis of the plot. Default is "value"
plot_title	title of the plot. Default is "Time series plot".

Value

Plots a figure with all the the time series in the data set

Author(s)

Monica Golumbeanu, [e-mail]

References

Golumbeanu M, Desfarges S, Hernandez C, Quadroni M, Rato S, Mohammadi P, Telenti A, Beerenwinkel N, Ciuffi A. (2017) Dynamics of Proteo-Transcriptomic Response to HIV-1 Infection.

Examples

# Load the toy time series data provided with the TMixClust package
data(toy_data_df)

# Plot the time series
plot_time_series_df(toy_data_df)

Example output

TMixClust documentation built on Nov. 8, 2020, 8:13 p.m.