Size of caption with info about the ordination, NA for none centerĮxpand plot limits to center around origin point (0,0) clipĬlipping of labels that extend outside plot limits? expandĮxpand plot limits a little bit further than data range? interactiveĬreates plot suitable for use with ggiraph (used in ord_explore). Įither "species" or "site" scores are scaled by (proportional) eigenvalues, and the other set of scores is left unscaled (from ?vegan::a) auto_caption If TRUE, plot sample points with geom_point scaling List of aesthetics/arguments (colour, size etc) for the constraint labels var_renamerįunction to rename constraining variables for plotting their labels plot_samples (relative to default position which is proportional to correlations with each axis) constraint_lab_style Label distance/position for any constraints
List of aesthetics/arguments (colour, alpha etc) for the constraint vectors constraint_lab_length NA = auto-scaling, or provide a numeric multiplier yourself. taxon_renamerįunction that takes any plotted taxon names and returns modified names for labels constraint_vec_lengthĬonstraint arrow vector scale multiplier. List of style options for the taxon labels, see tax_lab_style() function. Scale multiplier for label distance/position for any selected taxa tax_lab_style List of named aesthetic attributes for taxon vectors for the taxa selected by plot_taxa tax_lab_length List of named aesthetic attributes for all (background) taxon vectors tax_vec_style_sel
If ord_calc method was "PCA/RDA" draw the taxa loading vectors (see details) tax_vec_length
Which axes to plot: numerical vector of length 2, e.g.
#R PLOT RENAME X LAB HOW TO#
Using the code above as something to build upon, let’s go through some examples of how to change different types of labels on the plot to incorporate Greek symbols and math expressions.Ps_extra list object, output from ord_calc axes This is how the plot would look if we didn’t make any alterations to any of the labels. Next, let’s make a simple panel of scatter plots using ggplot(), coloring the points by the variable ‘c’ and creating two panels so that the points are grouped by the variable ‘d’: ggplot(data) + Next, let’s generate some random data for plotting (I’m including two binary variables for grouping purposes): data = ame(x = rnorm(50), The problem was, I had no clue how to do this! So, I consulted #rstats Twitter, got some really great tips, and figured that I’d share them all in a quick demo blogpost (mostly so that I can easily find this info the next time I need it! 😂).įirst, let’s load the necessary packages: library(dplyr) library(ggplot2) library(scales) I wanted to label certain axes and panel names using the Greek letters I had used as parameter notation, and I also wanted the labels in the color legend to correspond to the different regression models I had fit. The plot features several panels using facet_grid(), and uses colors to distinguish between different regression models that were fit to the simulated data. Yesterday, I was trying to put some finishing touches on a figure I made in ggplot2 that visualizes some simulation results.
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