Geek asks and answers

Planning for animated sharing (overlapping directed edges)

I once saw this plot (LINK) on shipments. I work with conversational exchanges and I think it might be interesting to map such an exchange using R.

This is a big question, but I think it can be useful for the community as a whole.

Say we have seven people sitting around a table: enter image description here

And I recorded a dialogue exchanged by talking about speakers, and the listener hears. I created a dummy data.frame with such information. here's the head:

  speaker receiver duration speaker.x speaker.y receiver.x receiver.y
1       D        A       16     0.626     0.163      0.755      0.741
2       E        D        3     0.391     0.161      0.626      0.163
3       A        B       25     0.755     0.741      0.745      0.517
4       B        E        6     0.745     0.517      0.391      0.161
5       B        C       45     0.745     0.517      0.737      0.251
6       E        F       37     0.391     0.161      0.258      0.285

( ), (/ / ) , ( - , ). , , , , . , R ( : " , ArcGIS , , R - , " ).

, , , . , .

.

#the data
the_table <- data.frame(
    xmin = .3,
    xmax = .7,
    ymin = .2,
    ymax = .8
)

points <- structure(list(x = c(0.754594594594595, 0.744864864864865, 0.736756756756757, 
    0.626486486486486, 0.391351351351351, 0.258378378378378, 0.261621621621622
    ), y = c(0.741172932330827, 0.517052631578947, 0.250706766917293, 
    0.163007518796992, 0.161383458646617, 0.284812030075188, 0.494315789473684
    )), .Names = c("x", "y"))


mapping <- data.frame(person=LETTERS[1:7], points)

set.seed(10)
n <- 120
dat <- data.frame(id = 1:n, speaker=sample(LETTERS[1:7], n, TRUE),
     receiver=sample(LETTERS[1:7], n, TRUE),
    duration=sample(1:50, n, TRUE)
)
dat <- dat[as.character(dat$speaker)!=as.character(dat$receiver), ]

dat <- merge(merge(dat, mapping, by.x=c("speaker"), by.y=c("person"), sort=FALSE), 
    mapping, by.x=c("receiver"), by.y=c("person"), sort=FALSE)
names(dat)[5:8] <- c("speaker.x", "speaker.y", "receiver.x", "receiver.y")
dat <- dat[order(dat$id), c(2, 1, 4:8)]
rownames(dat) <- NULL

#the plot
ggplot() +
    geom_point(data=mapping, aes(x=x, y=y), size=10) +
    geom_text(data=mapping, aes(x=x, y=y, label=as.character(person)), 
        color="blue") +
    ylim(-.2, 1.2) + xlim(-.2, 1.2) + 
    geom_rect(data=the_table, aes(xmax = xmax, xmin=xmin, 
        ymin=ymin, ymax = ymax), fill="gray80")

ggplot2, , , ggplot2.

+5
1

geom_segment, .

- .

data.frame talking

library(animation)
library(RColorBrewer)
library(grid)         ## for arrow
library(ggplot2)      
# scale the duration (not ideal)
talking$scale_duration <-scale(talking$duration, center = FALSE)
# ensure that we have different colours for each speaker

ss <- levels(talking$speaker)

speakerCol <- scale_colour_manual(values = setNames(brewer.pal(n=length(ss), 'Set2' ), ss), guide = 'none')

# the base plot with the table and speakers (and `talking` base dataset)
base <- ggplot(data = talking, aes(colour = speaker)) +
  geom_point(data=mapping, aes(x=x, y=y), size=10, inherit.aes = FALSE) +
  geom_text(data=mapping, aes(x=x, y=y, label=as.character(person)), 
    inherit.aes = FALSE, color="blue") +
  ylim(-.2, 1.2) + xlim(-.2, 1.2) + 
  geom_rect(data=the_table, aes(xmax = xmax, xmin=xmin, 
      ymin=ymin, ymax = ymax), fill="gray80", inherit.aes = FALSE) +
  speakerCol
 oopt <- ani.options(interval = 0.5)

# a function to create the animation


pp <- function(){
  print(base)
  interval = ani.options("interval")
  for(n in rep(seq_along(talking$duration), each = talking$duration))){
    # a segment for each row
    tn <- geom_segment(aes(x= speaker.x, y= speaker.y, xend = receiver.x, yend = receiver.y), arrow = arrow(), 
                       data =talking[n, ,drop = FALSE])
    print(base + tn)
    ani.pause()
  }
}

saveGIF(pp(), interval = 0.1) GIF ..

+5

More articles:


All Articles