Graphical package faster than ggplot2

Question

you know some package in R that concatenates and makes 2D and 3D graphics faster than ggplot2?

Answer 1

The very one base is much faster than the ggplot2 in terms of the time to render the chart.

> library(ggplot2)
> dados <- data.frame(x = 1:10, y = 1:10)
> microbenchmark::microbenchmark(
+   base = plot(dados$x, dados$y),
+   ggplot2 = print(ggplot(dados, aes(x, y)) + geom_point()),
+   times = 10)
Unit: milliseconds
    expr        min         lq      mean   median        uq       max neval
    base   6.111439   6.297696  11.23991  13.0963  13.68068  14.21597    10
 ggplot2 137.465155 139.280801 148.73481 148.4097 155.98191 161.27931    10

But if you are having problems because ggplot is taking its time you should consider taking a sample of your data to make the graph. Usually for viewing should not make much difference.

If you are trying to make frequency charts, you can try grouping the data using some oputro package and then using ggplot only to plot. For example, if you wanted to make a bar graph of the colors of diamonds (database diamonds of R).

Could do so:

diamonds %>% 
    group_by(color) %>%
    summarise(n = n()) %>%
    ggplot(aes(x = color, y = n)) + 
    geom_bar(stat = "identity")

Instead of doing like this:

ggplot(diamonds, aes(x = color)) + geom_bar()

The way using the dplyr will be a little faster:

Unit: milliseconds
           expr      min       lq     mean   median       uq      max neval
 ggplot + dplyr 154.2552 159.4668 165.0565 162.5604 172.0724 180.2274    10
         ggplot 205.3213 212.5129 218.5641 217.9931 223.3510 238.7627    10