Problem with using 'gganimate' package

[osama1]

I want to use gganimate package for making animation of oil production for each well, displaying oil production on y-axis and date on x-axis and animating the yearly production.

I have installed these packages (gapminder, ggplot2, gganimate, devtools & dplyr)

The code:

ggplot(gapminder, aes(date, oil, size = pop, colour = well)) +
geom_point(alpha = 0.7, show.legend = FALSE) +
scale_x_date(date_labels = "%Y-%m-%d") +
facet_wrap(~well) + labs(title = 'Year: {frame_time}', x = 'date', y = 'oil_rate') +
transition_time(Year) +
ease_aes('linear')

Error:

Error in transition_time(Year) :
could not find function "transition_time"

[FJCC]

I have never used gganimate, but the error message suggests the package isn't loaded. If you run search(), do you see gganimate in the list of packages? If not, run library(gganimate).

[EconProf]

I am quite confused. The only dataset in the gapminder package installed on my computer has six variables: country, continent, year, lifeExp, pop, and gdpPercap.

[osama1]

I have installed all these libraries:
install.packages("gapminder")
library(gapminder)
install.packages('gganimate')
library(gganimate)
install.packages('ggplot2')
library(ggplot2)
install.packages('dplyr')
library(dplyr)
install.packages('devtools')
library(devtools)
install.packages('gifski')
library(gifski)
install.packages('av')
library(av)

Here the code:

ggplot(gapminder, data = EH, mapping = aes(x = date, y = oil, colour = well)) + geom_point(size = 3) +
scale_x_date(date_labels = "%Y-%m-%d") +
facet_wrap(~well) + labs(title = 'Year: {frame_time}', x = 'date', y = 'oil_rate') +
transition_time(Year) +
shadow_mark(alpha=0.2, size = 2) +
ease_aes('linear')

Still have this error:

Error in transition_time(Year) :
could not find function "transition_time"

[cderv]

transition_time() should be part of gganimate

Transition through distinct states in time — transition_time

So loading the package should work, you can try example of the page above to see how this works.