Help for package moveEZ

Title:

Animated Biplots

Version:

1.1.0

Description:

Create animated biplots that enables dynamic visualisation of temporal or sequential changes in multivariate data by animating a single biplot across the levels of a time variable. It builds on objects from the 'biplotEZ' package, Lubbe S, le Roux N, Nienkemper-Swanepoel J, Ganey R, Buys R, Adams Z, Manefeldt P (2024) <doi:10.32614/CRAN.package.biplotEZ>, allowing users to create animated biplots that reveal how both samples and variables evolve over time.

License:

MIT + file LICENSE

Encoding:

UTF-8

RoxygenNote:

7.3.2

VignetteBuilder:

knitr

Depends:

R (≥ 4.1.0)

Imports:

dplyr, biplotEZ, gganimate, ggplot2, GPAbin

Suggests:

testthat, rmarkdown, knitr, tibble, scales

Config/Needs/website:

rmarkdown

URL:

https://muvisu.github.io/moveEZ/

NeedsCompilation:

Packaged:

2025-08-22 12:13:59 UTC; raeesaganey

Author:

Raeesa Ganey

[aut, cre, cph], Johané Nienkemper-Swanepoel

[aut, cph]

Maintainer:

Raeesa Ganey <raeesa.ganey@wits.ac.za>

Repository:

CRAN

Date/Publication:

2025-08-22 12:40:09 UTC

moveEZ: Animated Biplots

Description

Create animated biplots that enables dynamic visualisation of temporal or sequential changes in multivariate data by animating a single biplot across the levels of a time variable. It builds on objects from the 'biplotEZ' package, Lubbe S, le Roux N, Nienkemper-Swanepoel J, Ganey R, Buys R, Adams Z, Manefeldt P (2024) doi:10.32614/CRAN.package.biplotEZ, allowing users to create animated biplots that reveal how both samples and variables evolve over time.

Author(s)

Maintainer: Raeesa Ganey raeesa.ganey@wits.ac.za (ORCID) [copyright holder]

Authors:

Johané Nienkemper-Swanepoel nienkemperj@sun.ac.za (ORCID) [copyright holder]

Calibrate axis

Description

Calibrate axis

Usage

.calibrate.axis(
  j,
  Xhat,
  means,
  sd,
  axes.rows,
  ax.which,
  ax.tickvec,
  ax.orthogxvec,
  ax.orthogyvec
)

Arguments

j

Xhat

Xhat

means

means

sd

axes.rows

axes.rows

ax.which

ax.which

ax.tickvec

ax.tickvec

ax.orthogxvec

ax.orthogxvec

ax.orthogyvec

ax.orothogyvec

Value

Calibrated axes

Climate studies example dataset

Description

Data extracted from ERA5 hourly data on single levels from 1940 to present

Format

A dataset with 960 observations and 9 variables.

Details

Year: 8 years from 1950 to 2020
Month: 12 calendar months
Region: 10 IPCC climate reference regions
AccPrec: Accumulated precipitation
DailyEva: Daily evaporation
Temp: Mean temperature
SoilMois: Soil moisture
SPI6: 6-month standardised precipitation index
wind: Windspeed

Source

DOI: 10.24381/cds.adbb2d47 (Accessed on 11-02-2025)

Climate studies target example dataset

Description

Data extracted from ERA5 hourly data on single levels for 1989

Format

A dataset with 120 observations and 9 variables.

Details

Year: 8 years from 1950 to 2020
Month: 12 calendar months
Region: 10 IPCC climate reference regions
AccPrec: Accumulated precipitation
DailyEva: Daily evaporation
Temp: Mean temperature
SoilMois: Soil moisture
SPI6: 6-month standardised precipitation index
wind: Windspeed

Source

DOI: 10.24381/cds.adbb2d47 (Accessed on 11-02-2025)

Provide axes coordinates

Description

Provide axes coordinates

Usage

axes_moveEZ(bp, which.var)

Arguments

bp

Object

which.var

which variable(s) to find coordinates

Value

Axes coordinates

Measures of comparison for move plot 3

Description

This function calculates measures of comparison after generalised orthogonal Procrustes Analysis is performed in moveplot3. Orthogonal Procrustes Analysis is used to compare a target to a testee configuration. The following measures are calculate: Procrustes Statistic (PS), Congruence Coefficient (CC), Absolute Mean Bias (AMB), Mean Bias (MB) and Root Mean Squared Bias (RMSB).

Usage

evaluation(bp, centring = TRUE)

Arguments

bp

biplot object from moveEZ

centring

logical argument to apply centring or not (default is TRUE)

Value

eval.list

Returns a list containing the measures of comparison for each level of the time variable.

fit.plot

Returns a line plot with the fit measures that are bounded between zero and one: PS and CC. A small PS value and large CC value indicate good fit.

bias.plot

Returns a line plot with bias measures taht are unbounded: AMB, MB and RMSB. Small values indicate low bias.

Examples

data(Africa_climate)
data(Africa_climate_target)
bp <- biplotEZ::biplot(Africa_climate, scaled = TRUE) |> biplotEZ::PCA()
results <- bp |> moveplot3(time.var = "Year", group.var = "Region", hulls = TRUE,
move = FALSE, target = NULL) |> evaluation()
results$eval.list
results$fit.plot
results$bias.plot

data(Africa_climate)
data(Africa_climate_target)
bp <- biplotEZ::biplot(Africa_climate, scaled = TRUE) |> biplotEZ::PCA()
results <- bp |> moveplot3(time.var = "Year", group.var = "Region", hulls = TRUE,
move = FALSE, target = Africa_climate_target) |> evaluation()
results$eval.list
results$fit.plot
results$bias.plot

Move plot

Description

Create animated biplot on samples in a biplot

Usage

moveplot(bp, time.var, group.var, move = TRUE, hulls = TRUE, scale.var = 5)

Arguments

bp

biplot object from biplotEZ

time.var

time variable

group.var

group variable

move

whether to animate (TRUE) or facet (FALSE) samples, according to time.var

hulls

whether to display sample points or convex hulls

scale.var

scaling the vectors representing the variables

Value

bp

Returns the elements of the biplot object bp from biplotEZ.

plot

An animated or a facet of biplots based on the dynamic frame.

Examples

data(Africa_climate)
bp <- biplotEZ::biplot(Africa_climate, scaled = TRUE) |> biplotEZ::PCA()
bp |> moveplot(time.var = "Year", group.var = "Region", hulls = TRUE, move = FALSE)
bp |> moveplot(time.var = "Year", group.var = "Region", hulls = FALSE, move = FALSE)

if(interactive()) {
bp |> moveplot(time.var = "Year", group.var = "Region", hulls = TRUE, move = TRUE)}

Move plot 2

Description

Create animated biplot on samples and variables in a biplot

Usage

moveplot2(
  bp,
  time.var,
  group.var,
  move = TRUE,
  hulls = TRUE,
  scale.var = 5,
  align.time = NA,
  reflect = NA
)

Arguments

bp

biplot object from biplotEZ

time.var

time variable

group.var

group variable

move

whether to animate (TRUE) or facet (FALSE) samples and variables, according to time.var

hulls

whether to display sample points or convex hulls

scale.var

scaling the vectors representing the variables

align.time

a vector specifying the levels of time.var for which the biplots should be aligned. Only biplots corresponding to these time points will be used to compute the alignment transformation.

reflect

a character vector specifying the axis of reflection to apply at each corresponding time point in align.time. One of FALSE (default), "x" for reflection about the x-axis, "y" for reflection about the y-axis and "xy" for reflection about both axes.

Value

bp

Returns the elements of the biplot object bp from biplotEZ.

plot

An animated or a facet of biplots based on the dynamic frame.

Examples

data(Africa_climate)
bp <- biplotEZ::biplot(Africa_climate, scaled = TRUE) |> biplotEZ::PCA()

if(interactive()) {
bp |> moveplot2(time.var = "Year", group.var = "Region", hulls = TRUE, move = TRUE)}

Move plot 3

Description

Create animated biplot on samples and variables in a biplot with a given target

Usage

moveplot3(
  bp,
  time.var,
  group.var,
  move = TRUE,
  hulls = TRUE,
  scale.var = 5,
  target = NULL
)

Arguments

bp

biplot object from biplotEZ

time.var

time variable

group.var

group variable

move

whether to animate (TRUE) or facet (FALSE) samples and variables, according to time.var

hulls

whether to display sample points or convex hulls

scale.var

scaling the vectors representing the variables

target

Target data set to which all biplots should be matched consisting of the the same dimensions. If not specified, the centroid of all available biplot sample coordinates from time.var will be used. Default NULL.

Value

bp

Returns the elements of the biplot object bp from biplotEZ.

iter_levels

The levels of the time variable.

coord_set

The coordinates of the configurations before applying Generalised Orthogonal Procrustes Analysis.

GPA_list

The coordinates of the configurations after applying Generalised Orthogonal Procrustes Analysis.

plot

An animated or a facet of biplots based on the dynamic frame.

Examples

data(Africa_climate)
data(Africa_climate_target)
bp <- biplotEZ::biplot(Africa_climate, scaled = TRUE) |> biplotEZ::PCA()
bp |> moveplot3(time.var = "Year", group.var = "Region", hulls = TRUE,
move = FALSE, target = NULL)

if(interactive()) {
bp |> moveplot3(time.var = "Year", group.var = "Region", hulls = TRUE,
move = TRUE, target = NULL)}
bp |> moveplot3(time.var = "Year", group.var = "Region", hulls = TRUE,
move = FALSE, target = Africa_climate_target)

moveEZ: Animated Biplots

Description

Author(s)

See Also

Calibrate axis

Description

Usage

Arguments

Value

Climate studies example dataset

Description

Format

Details

Source

Climate studies target example dataset

Description

Format

Details

Source

Provide axes coordinates

Description

Usage

Arguments

Value

Measures of comparison for move plot 3

Description

Usage

Arguments

Value

Examples

Move plot

Description

Usage

Arguments

Value

Examples

Move plot 2

Description

Usage

Arguments

Value

Examples

Move plot 3

Description

Usage

Arguments

Value

Examples