Plots

In this section, the following type of plots are being discussed:

• Bar Chart
• Pie Chart
• Strip Plot
• Swarm Plot
• Box and Whisker Plot
• Violin Plot
• Histogram
• Scatter Plot
• Sunflower Plot
• Bag Plot
• Regression Plot
• Bland-Altman Plot
• Funnel Plot
• Forest Plot
• Radar Plot
• Mosaic Plot
• ROC Plot
• Survival Plot
• Time Series
• Correlation Plot
• Hierarchical Edge Bundling Plot
• Decision Tree Plot
• Exploratory Plot
• Interactive Plot

Plots can be created with plot builder 1 in JGR 2. The plot can be subsequently saved in the desired format. As described, scalable vector graphics are advised, but ultimately the choice of format depends on its subsequent use / journal requirements.

Code created using plot builder can be copied into a script file for convenience. Rather that creating the plots and saving them it may be more convenient to save the plot directly in the desired format. For example to create a plot of Anscombe’s 3 first data set; load the dataset and create a plot with the following commands:

ggplot() + geom_point(aes(x = X1,y = Y1),data=anscombe.quartet) + geom_smooth(aes(x = X1,y = Y1),data=anscombe.quartet,method = ‘lm’) + theme_bw() +ggtitle(label = ‘Anscombe\’s First Data Set’) + xlab(label = ‘X1 [cm]’) + ylab(label = ‘Y1 [cm]’)

The plot can subsequently be saved in the appropriate format.

To save directly as a PDF file in the default directory of R:

pdf(‘AnscombePlot.pdf’)

ggplot() + geom_point(aes(x = X1,y = Y1),data=anscombe.quartet) + geom_smooth(aes(x = X1,y = Y1),data=anscombe.quartet,method = ‘lm’) + theme_bw() +ggtitle(label = ‘Anscombe\’s First Data Set’) + xlab(label = ‘X1 [cm]’) + ylab(label = ‘Y1 [cm]’)

dev.off()

To create a jpg file:

jpeg(‘AnscombePlot.jpg’,quality=100,width=960,height=960,res=200)

ggplot() + geom_point(aes(x = X1,y = Y1),data=anscombe.quartet) + geom_smooth(aes(x = X1,y = Y1),data=anscombe.quartet,method = ‘lm’) + theme_bw() +ggtitle(label = ‘Anscombe\’s First Data Set’) + xlab(label = ‘X1 [cm]’) + ylab(label = ‘Y1 [cm]’)

dev.off()

There are similar commands for different graphical formats. For bitmap:

??png

and for scalable vector graphics:

??svg