Setting axis to log2 scale
library(plotly)
library(ggplot2)
ToothGrowth$dose <- as.factor(ToothGrowth$dose)
p <- ggplot(cars, aes(x = speed, y = dist)) +
geom_point()
p <- p + scale_x_continuous(trans = 'log2') +
scale_y_continuous(trans = 'log2')
ggplotly(p)
You can also format the axis ticks to be displayed as exponents.
library(plotly)
library(ggplot2)
library(scales)
ToothGrowth$dose <- as.factor(ToothGrowth$dose)
p <- ggplot(cars, aes(x = speed, y = dist)) +
geom_point()
p <- p + scale_x_continuous(trans = 'log2') +
scale_y_continuous(trans = 'log2')
p <- p + scale_y_continuous(trans = log2_trans(),
breaks = trans_breaks("log2", function(x) 2^x),
labels = trans_format("log2", math_format(2^.x)))
ggplotly(p)
Setting axis to log10 scale
library(plotly)
library(ggplot2)
ToothGrowth$dose <- as.factor(ToothGrowth$dose)
p <- ggplot(cars, aes(x = speed, y = dist)) +
geom_point()
p <- p + scale_y_log10()
ggplotly(p)
ternatively, you can use the function scale_y_continuous(trans = "log10"), which allows to transform breaks and the format of labels.
What About Dash?
Dash for R is an open-source framework for building analytical applications, with no Javascript required, and it is tightly integrated with the Plotly graphing library.
Learn about how to install Dash for R at https://dashr.plot.ly/installation.
Everywhere in this page that you see fig, you can display the same figure in a Dash for R application by passing it to the figure argument of the Graph component from the built-in dashCoreComponents package like this:
library(plotly)
fig <- plot_ly()
# fig <- fig %>% add_trace( ... )
# fig <- fig %>% layout( ... )
library(dash)
library(dashCoreComponents)
library(dashHtmlComponents)
app <- Dash$new()
app$layout(
htmlDiv(
list(
dccGraph(figure=fig)
)
)
)
app$run_server(debug=TRUE, dev_tools_hot_reload=FALSE)