xA_fMRI_1D_x20_y20_z11

<p>a vector generated from a 4 dimensions dataset. The original dataset is a 4D dataset containing
a 3 dimensions space and a time dimension. this vector is generated by fixing space dimensions to get different
value of different time. Fixed (x,y,z) is (20,20,11).</p>

vector

To better visualize time-series dataset,
'TSplotly' package provides an effective mechanism to utilize
the powerful 'plotly' package for graphing
time series data. It contains 5 core functions:
TSplot(): create interactive plot on time series data or fitted
ARIMA(X) models.
ADDline(): add lines on existing 'TSplot()' objects, as needed.
GGtoPY(): create a convenient way to transform (reformat) 'ggplot2'
datasets into a format that can work on 'plot_ly()'.
GTSplot(): create multiple 'plot_ly()' lines (time-series) based on
data frames containing multiple time-series data.
TSplot_gen(): a more general version of function 'TSplot()' that
can work on any time format.

Yongkai Qiu

TSplotly

Create Interactive Plots on Time Series Dataset

Zhe Yin

Ivo Dinov

SOCR team

xA_fMRI_1D_x20_y20_z11 function

<p>a vector contains a time series information</p>

xA_fMRI_1D_x20_y20_z11: xA_fMRI_1D_x20_y20_z11

Description

Usage

Arguments

Format