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
section.In Compose, 2-D or 3-D plots can either be displayed in the plot area, or they can be detached and floating.
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To detach a plot, click this icon, , on the figure's top border:
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By default, the plots are in the plot area. This can be modified in
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Plots (called figures) can be managed through the options on the context menu from the Project Browser:
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Select this option | To do this |
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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. |
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.
plot(table(rpois(100, 5)), type = "h", col = "red", lwd = 10, main = "rpois(100, lambda = 5)")
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Figure 6.
The second option is to leverage the PLOTLY library in R.
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
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Figure 7.