gganimate

问题 I'm trying to run a GIF inside my shiny App. I'm technically using this code to generate a GIF and upload it manually from my computer inside the APP. Part of my dataset is shown below, what I'm trying to do is run a GIF that shows the top 10 movies from 1960 - 2015. this is the link to my GIF. https://media.giphy.com/media/U4eSLRaDbGpjqU0V42/giphy.gif This is my a picture of my App - (https://imgur.com/3Ddao5S) I need to address 4 problems. 1 - First when I run this on my Shiny tab the movie

问题 I'm trying to run a GIF inside my shiny App. I'm technically using this code to generate a GIF and upload it manually from my computer inside the APP. Part of my dataset is shown below, what I'm trying to do is run a GIF that shows the top 10 movies from 1960 - 2015. this is the link to my GIF. https://media.giphy.com/media/U4eSLRaDbGpjqU0V42/giphy.gif This is my a picture of my App - (https://imgur.com/3Ddao5S) I need to address 4 problems. 1 - First when I run this on my Shiny tab the movie

问题 I'm trying to run a GIF inside my shiny App. I'm technically using this code to generate a GIF and upload it manually from my computer inside the APP. Part of my dataset is shown below, what I'm trying to do is run a GIF that shows the top 10 movies from 1960 - 2015. this is the link to my GIF. https://media.giphy.com/media/U4eSLRaDbGpjqU0V42/giphy.gif This is my a picture of my App - (https://imgur.com/3Ddao5S) I need to address 4 problems. 1 - First when I run this on my Shiny tab the movie

问题 I m trying to create animation to show transition along some nodes. I want to show point moving from SRC to TGT with transition change in intensity my df is like this below. > df node intensity Lon Lat 1 SRC 0.90 40 60 2 TGT 0.89 80 40 3 TGT 0.80 40 30 4 TGT 0.99 30 20 library(ggplot2) library(gganimate) df <- read.table(text = "node intensity Lon Lat SRC .9 40 60 TGT .89 80 40 TGT .8 40 30 TGT .99 30 20", header = TRUE) ggm <- ggplot(data = df, aes(x = Lon, y = Lat, size= intensity, colour

问题 I am using gganimate. Say I have this MWE: library(ggplot2) library(gganimate) ggplot(airquality, aes(Day, Temp)) + geom_point(color = 'red', size = 1) + transition_time(Month) + shadow_mark(colour = 'black', size = 0.75) I have one question: how can I make the new points just appear as opposed to transitioning from the old ones? Put another way, I just want the new dots to appear at their final location and not have a transition. How should I modify the code? 回答1: The transitions are

问题 I'm doing animation using ggplot and gganimate. In the previous version of gganimate there was an option "cumulative", seem that new version does not support this. Here's the code: library(ggplot2) library(gganimate) x = data.frame(y = c(2000, 2001), x=c(1,2), z=c(3,4)) ggplot(x, aes(x,z))+geom_point() + transition_time(y) It works, but I want to keep the first data point at the scatterplot. I tried to trasform the data, but it doesn't help: x1 = data.frame(y = c(2000, 2001, 2001), x=c(1,2,1)

问题 I'm doing animation using ggplot and gganimate. In the previous version of gganimate there was an option "cumulative", seem that new version does not support this. Here's the code: library(ggplot2) library(gganimate) x = data.frame(y = c(2000, 2001), x=c(1,2), z=c(3,4)) ggplot(x, aes(x,z))+geom_point() + transition_time(y) It works, but I want to keep the first data point at the scatterplot. I tried to trasform the data, but it doesn't help: x1 = data.frame(y = c(2000, 2001, 2001), x=c(1,2,1)

问题 I have a problem when doing an animated pie chart with gganimate and ggplot . I want to have normal pies each year, but my output is totally different. You can see an example of the code using mtcars : library(ggplot2) library(gganimate) #Some Data df<-aggregate(mtcars$mpg, list(mtcars$cyl,mtcars$carb), sum) colnames(df)<-c("X","Y","Z") bp<- ggplot(df, aes(x="", y=Z, fill=X, frame=Y))+ geom_bar(width = 1, stat = "identity") + coord_polar("y", start=0) gganimate(pie, "output.gif") An this is

问题 I'm looking for ways to animate a long time series plot without losing resolution. I would like the view to "pan" across the data, showing a sliding subset of it from the beginning to the end. Suppose I have the following: library(ggplot2) library(dplyr) library(gganimate) df <- as.data.frame(cumsum(rnorm(1:10000))) %>% rename(y = 1) df <- mutate(df, seq = seq(1, 10000, by = 1)) ggplot(df, aes(x = seq, y = y)) + geom_line() I'd like to create an animation that shows more detail by just

问题 The package gganimate creates gifs (MWE code from here): library(ggplot2) #devtools::install_github('thomasp85/gganimate') library(gganimate) p <- ggplot(mtcars, aes(factor(cyl), mpg)) + geom_boxplot() + # Here comes the gganimate code transition_states( gear, transition_length = 2, state_length = 1 ) + enter_fade() + exit_shrink() + ease_aes('sine-in-out') How can export this gif now? In the previous (now archived) version of gganimate this was simple: gganimate(p, "output.gif") However, I