Palyoplot Stacked Diagram Tutorial is Up

Posted on February 28, 2019February 28, 2019 by Anna Klimaszewski-Patterson

Sometimes you just want to stack a bunch of (related) data together for visualization. The tutorial for how to do so with Palyoplot is now up to show you how to do just that! Here’s a sneak peak of what you can create…

Fig. 3: Alternative custom color application to highlight percentage of Ash
Fig. 4: Custom color application on a stacked bar diagram using Palyoplot
Fig. 5: Custom color application on a stacked line diagram using Palyoplot

Basic Palyoplot Tutorial is Up

Posted on February 28, 2019February 28, 2019 by Anna Klimaszewski-Patterson

Seems I’m being extra productive today. Created a basic tutorial on creating diagrams using Palyoplot’s built-in datasets. It should be enough to get you started with the functionality and exploring how the datasets are setup in R.

To give you a little bit of a sneak peak before heading over there…

Fig. 1: Basic Palyoplot graph using built-in pollen-based datasets. Extra grey line is 10x exaggeration
Fig. 4: Basic Palyoplot diagram with double y-axis, italicized genus names, group headings and visual zonation markers and identifiers
Fig. 5: Basic Palyoplot diagram showing data as bars

library(palyoplot)
axis2 = palyoplot_get2ndAxis(interval=2, top=-20, bottom=115, ages=pp_agemodel)
graph1 = palyoplot_plotTaxa(xdata=pp_xdata, ydata=pp_ydata, ylabel="cal yr BP", bottomLabel="Percentages", 
                            colors=pp_colors, y2=axis2, y2label="depth (cm)", fontstyles=pp_fontStyles,
                            taxaGroups=pp_taxaGroups, plotStyle="line"))

Palyoplot is available for alpha testing

Posted on February 27, 2019February 28, 2019 by Anna Klimaszewski-Patterson

I’ve created an R package called Palyoplot (get it? Paleo… palynology… plotting) for creating stratigraphic plots of Quaternary Science data (pollen, charcoal, diatoms, that sort of thing). The thing is, I need testers. Well, more than just myself and former lab mates that I can harangue into trying it out (yes yes, I know you’re counting and haven’t touched R in over a year, but can’t you relearn R really quick and try it out for me?)

So, I’ve created a page that briefly explains Palyoplot, made a Download page with sample files, and am putting out the call. I need a few testers before I’m comfortable releasing to CRAN. If you’re willing to help, drop me a line. If you’re stuck more than 5 minutes, email me. I’ll gladly go through your files and figure out what went wrong. Bonus, your feedback will help with the tutorial I’ll be working to develop.

I look forward to hearing from you!