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ggtern: ternary diagrams in r docs news demo literature publications resources contact what is ggtern? ‘ggtern’ is a software package for the statistical computing language r. it is an extension to ggplot2 [ 1 ] specifically for the plotting of ternary diagrams . ternary diagrams are baycentric plots w/ three variables, and, they are commonly used within the fields of chemistry, petrology, mineralogy, metallurgy, materials-science, genetics and game-theory, amongst others. whereas a simplex diagram is the general case for , in dimensions, the ternary diagram is the specific case when (producing vertices). with the exception of the work by sean mulcahy [ 2 ] and darren wilkinson [ 3 ], there are very few resources on the internet where ggplot2 [ 1 ] has been used as a platform for rendering such diagrams, ggtern attempts to bridge this gap, and has since been used within a number of publications as a direct result. if you are familiar with the syntax of ggplot2, then using ggtern should be a breeze, without too much trouble, it is quite easy to produce publication quality ternary diagrams such as the one immediately below: references [1] h. wickham, ggplot2: elegant graphics for data analysis , springer-verlag, 2009. [bibtex] @book{wickham, title = {ggplot2: elegant graphics for data analysis}, author = {wickham, hadley}, publisher = {springer-verlag}, year = {2009}, owner = {nick hamilton}, timestamp = {20131123} } [2] s. r. mulcahy, “ternary plots in r.” [bibtex] @electronic{mulcahy, title = {ternary plots in r}, author = {mulcahy, s.r.}, howpublished = {website}, language = {english}, url = {http://srmulcahy.github.io/2012/12/04/ternary-plots-r.html}, owner = {nick hamilton}, timestamp = {20131222} } [3] d. wilkinson, “ternary plots in ggplot/r.” [bibtex] @electronic{wilkinson, title = {ternary plots in ggplot/r}, author = {wilkinson, d.}, howpublished = {website}, language = {english}, url = {http://wilkinsondarren.wordpress.com/2013/09/10/ternary-plots-in-ggplotr/}, owner = {nick hamilton}, timestamp = {20131222} } comments bastian 6/11/2015 | 9:05 nick, thanks a lot for this r package. it is fantastic. i have been using your package for the last five years now and use it a lot for my work. thanks reply nicholas hamilton 7/11/2015 | 10:53 no problem bastian, great to hear this kind of feedback. cheers. reply scott 2/03/2016 | 12:24 wonderful package – is there any way to combine the plot with a phase diagram graphic within ggtern? something akin to this? reply nicholas hamilton 6/03/2016 | 10:29 not sure what you mean, can you provide an example? reply scott 12/03/2016 | 8:09 sorry, the link didn’t paste before – basically just a .png or other image graphic underneath the ggtern diagram. here is the link again: https://www.researchgate.net/figure/270664107_fig17_feo-al2o3-sio2-ternary-diagram-after-muan-1957-the-baojia-slag-samples-mostly-plot-in reply nicholas hamilton 18/03/2016 | 8:48 it would be tricky to overlay, however, there is nothing stopping the entire phase diagram being drawn in ggtern…. if you have the time…. reply nicholas hamilton 21/03/2016 | 12:19 scott, the working version (v2.1.1) currently on my bitbucket account has a new geometry for including raster images. actually this was quite a bit easier than i had thought. here is an example: example raster r data(feldspar) data(feldsparraster) ggtern(feldspar,aes(ab,an,or)) + theme_rgbw() + annotation_raster_tern(feldsparraster,xmin=0,xmax=1,ymin=0,ymax=1) + geom_mask() + geom_point(size=5,aes(shape=feldspar,fill=feldspar),color='black') + scale_shape_manual(values=c(21,24)) + labs(title="demonstration of raster annotation") 1 2 3 4 5 6 7 8 9 data ( feldspar ) data ( feldsparraster ) ggtern ( feldspar , aes ( ab , an , or ) ) + theme_rgbw ( ) + annotation_raster_tern ( feldsparraster , xmin = 0 , xmax = 1 , ymin = 0 , ymax = 1 ) + geom_mask ( ) + geom_point ( size = 5 , aes ( shape = feldspar , fill = feldspar ) , color = 'black' ) + scale_shape_manual ( values = c ( 21 , 24 ) ) + labs ( title = "demonstration of raster annotation" ) until i make another update to cran, you will need to clone the git repo and install from source. reply scott 26/03/2016 | 6:00 that’s awesome! thanks so much for that – this is such a great package. thanks for putting it out there. reply scott 27/03/2016 | 2:22 quick follow up question – since this is just for raster images (annotation_raster instead of annotation_custom), is there a way to scale the image to fit the parameters of the ternary diagram? ordinarily, i’d use a grob and set the lims to inf to get it to auto-scale using annotation_custom. is that possible with the adjustments you’re made using just raster images? at the moment i have a beautiful phase diagram behind my data points, but the image is ~75% the size of the ggtern plot. reply nicholas hamilton 12/04/2016 | 7:01 scott, you need to tweak the xmin, xmax, ymin, ymax values. basically, if you use an image which has no whitespace external to the bounding rectangle defined by the three apexes, then xmin = 0, xmax = 1, ymin = 0, ymax = 1 should place the image correctly. max 7/04/2016 | 8:42 i’m just found this, but are you able to make contours similar to a response surface mixture design of experiment (e.g. minitab)? if so that would be great to implement in a real doe package for chemists and chemes reply nicholas hamilton 11/04/2016 | 12:55 max, can you post an example of what you mean please? reply fin 17/08/2018 | 8:18 i would also love to see an implementation of a ternary, or better n-dimensional, response surface plot. the response surface methodology is useful for finding the optimal component or process combinations. an example of this kind of ternary response surface plot is here: https://goo.gl/images/m9qsn8 reply gunnar 6/05/2016 | 4:49 hey nicholas, this is an awesome package! i’m using it to create plots for a scientific artictle right now. however, it seems that i came across an error: i have a plot where i need the grid lines on top, so i’m using the “theme_gridsontop()” option (or tern.panel.grid.ontop = true in theme options). but when i do this, the axis labels don’t get plotted anymore! if i remove that option, the labels are plotted just fine. here is an example plot that shows you what i mean – i can only get the left or the right version, not both – but i have been able to create plots with both options before. reply nicholas hamilton 4/08/2016 | 1:07 try upgrading, works fine for me, may be a bug in a previous version, i recently re-worked all the axis-rendering routines. example gridsontop r df = as.data.frame(diag(1,3,3)) base = ggtern(df,aes(v1,v2,v3)) + geom_polygon(fill='red') + theme_showarrows() base base + theme_gridsontop() 1 2 3 4 df = as . data . frame ( diag ( 1 , 3 , 3 ) ) base = ggtern ( df , aes ( v1 , v2 , v3 ) ) + geom_polygon ( fill = 'red' ) + theme_showarrows ( ) base base + theme_gridsontop ( ) reply marina reback 11/08/2016 | 3:08 dear nicholas, thank you very much for the package! we are working with it, but applying to environmental data – sterols in sediments – in order to find something about where the organic matter comes from.we are from ufpr, a university in brazil. so, as beginners we find a lot of troubles! we could plot it, ok, very cool graphic!! b ut can’t find a way to label each dot , i.e. with its codes or sample numbers. tried it in many ways. i imagine this is a basic thing… but can’t achieve this. could you please provide us a basic script that could do that in a ternplot (label each data point) in order to use it as a guide? maybe you already have it done but could not find anywhere. thank you very much! best regards! reply nicholas hamilton 11/08/2016 | 11:30 maria, sure, try the following, where there are two (2) methods of labelling demonstrated: example labelling r #variabels set.seed(1) n = 10; #number of data points nv = 0.05 #vertical adjustment #define data df = data.frame(x = runif(n), y = runif(n), z = runif(

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