Create Plots

In Compose, you can create 2-D and 3-D plots using OML plotting commands.

OML Plots

In Compose, the OML language offers a rich set of plotting commands for both 2-D and 3-D plots.

Examples and syntax can be found in the OML Reference Guide > Plotting section.

In Compose, 2-D or 3-D plots can either be displayed in the plot area, or they can be detached and floating.

Figure 1.
Figure 2.

To detach a plot, click this icon, , on the figure's top border:

Figure 3.

By default, the plots are in the plot area. This can be modified in File > Preferences:

Figure 4.

Plots (called figures) can be managed through the options on the context menu from the Project Browser:

Figure 5.
Right-click a figure and select from the following options:
Select this option To do this
Hide/Show Show/hide the plot that has been created.
Delete Delete the plot.
Rename Enter a new name for the plot.
Copy Copy the plot to the clipboard. Press Ctrl+V to paste the plot into your desired application that accepts images.
Save As Image Save the plot as an image .png or .bmp file.
Save Data Save the data that is displayed in the plot (including subplots) as a .csv or .mat file.
Print Preview View the plot as it will appear in a printed format.
Print Define print settings and print the figure.

Plots in R

Compose supports R language plot commands.

The default option is to rely on the MATPLOTLIB implementation provided by R.

The following script creates the plot (floating figure) shown below.
plot(table(rpois(100, 5)), type = "h", col = "red", lwd = 10, main = "rpois(100, lambda = 5)")


Figure 6.

The second option is to leverage the PLOTLY library in R.

For example, the following script creates data and plots it in a new Internet browser window.
library(plotly)
x <- c(1:100)
random_y <- rnorm(100, mean = 0)
data <- data.frame(x, random_y)
p1 <- plot_ly(data, x = ~x, y = ~random_y, type = 'scatter', mode = 'lines')
pl


Figure 7.