ggplot_SiZer | R Documentation |
Plot a 'SiZer' object that was created using 'SiZer()'
ggplot_SiZer(x, colorlist = c("red", "purple", "blue", "grey"))
x |
An object created using 'SiZer()' |
colorlist |
What colors should be used. This is a vector that corresponds to 'decreasing', 'possibley zero', 'increasing', and 'insufficient data'. |
The white lines in the SiZer map give a graphical representation of the bandwidth. The horizontal distance between the lines is 2h.
Derek Sonderegger
Chaudhuri, P., and J. S. Marron. 1999. SiZer for exploration of structures in curves. Journal of the American Statistical Association 94:807-823.
Hannig, J., and J. S. Marron. 2006. Advanced distribution theory for SiZer. Journal of the American Statistical Association 101:484-499.
Sonderegger, D.L., Wang, H., Clements, W.H., and Noon, B.R. 2009. Using SiZer to detect thresholds in ecological data. Frontiers in Ecology and the Environment 7:190-195.
plot.SiZer
, locally.weighted.polynomial
data('Arkansas') x <- Arkansas$year y <- Arkansas$sqrt.mayflies plot(x,y) # Calculate the SiZer map for the first derivative SiZer.1 <- SiZer(x, y, h=c(.5,10), degree=1, derv=1, grid.length=21) plot(SiZer.1) plot(SiZer.1, ggplot2=TRUE) ggplot_SiZer(SiZer.1) # Calculate the SiZer map for the second derivative SiZer.2 <- SiZer(x, y, h=c(.5,10), degree=2, derv=2, grid.length=21); plot(SiZer.2) plot(SiZer.2, ggplot2=TRUE) ggplot_SiZer(SiZer.2) # By setting the grid.length larger, we get a more detailed SiZer # map but it takes longer to compute. # # SiZer.3 <- SiZer(x, y, h=c(.5,10), grid.length=100, degree=1, derv=1) # plot(SiZer.3)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.