Antonin Vidon 10/29/2021
The package is located on my
GitHub. From the RStudio IDE,
You should install it with the devtools
library using the following
lines of code.
# install 'devtools'
install.packages("devtools")
# import 'devtools'
library(devtools)
# install 'goyav' from github
install_github("anvdn/goyav")
# import 'goyav'
library(goyav)
You may have to upgrade some of your packages in order to successfully
install goyav
.
goyav
is a shiny App meant to generate GIF from tabular temporal data.
All customization of the animated plots is done in an interactive
window.
The dashboard of the application looks like this :
The user is able to navigate into two tabs : “Animate” and “Advanced animate”, the latter offering a wider range of customization.
From the Animate tab, you may choose the following :
- X variable (numeric);
- Y variable (numeric);
- size variable (numeric);
- color variable (factor);
- temporal variable (numeric);
- choose if you want to apply a log-scale to either X, Y or X and Y.
From the Advanced animated tab, you may choose the following :
- X variable (numeric);
- Y variable (numeric);
- size variable (numeric);
- color variable (factor);
- temporal variable (numeric);
- choose if you want to apply a log-scale to either X, Y or X and Y.
- X range;
- Y range;
- Temporal range;
- Animation duration (s);
- Factors to include (for the color variable).
In order to better show the use of the package, we will import and use
the gapminder
dataset from the gapminder
package.
# install `gapminder`
install.packages("gapminder")
# load `gapminder`
library(gapminder)
# display first rows of dataset
knitr::kable(head(gapminder))
country | continent | year | lifeExp | pop | gdpPercap |
---|---|---|---|---|---|
Afghanistan | Asia | 1952 | 28.801 | 8425333 | 779.4453 |
Afghanistan | Asia | 1957 | 30.332 | 9240934 | 820.8530 |
Afghanistan | Asia | 1962 | 31.997 | 10267083 | 853.1007 |
Afghanistan | Asia | 1967 | 34.020 | 11537966 | 836.1971 |
Afghanistan | Asia | 1972 | 36.088 | 13079460 | 739.9811 |
Afghanistan | Asia | 1977 | 38.438 | 14880372 | 786.1134 |
In order to be able to create any GIF, your dataframe should have
candidate columns for the following variables: X, Y, size and temporal.
Therefore, calling the goyav
function on a dataframe with less than 4
numeric variables will return an error.
# try to call the `goyav` function on the first 3 columns of the `gapminder` dataset
goyav(gapminder[,1:3])
## Error in goyav(gapminder[, 1:3]): Your dataframe should have at least 4 numeric variables.
Let’s now call goyav
on the whole dataset :
# call `goyav` on `gapminder`
goyav(gapminder)