Contrasts can be a handy tool to visualize differences in bivariate parameter
space of the phenotypic fingerprint. Here is an example on the comparison
between the start-up and the non-operational state of a cooling water microbial
community using the fp_contrasts
function. Red areas indicate higher densities
and blue areas indicate lower densities during the start-up of the reactor. In
this case it seems bacteria with a higher fluorescence intensity become enriched
during the reactor start-up.
suppressPackageStartupMessages(library(Phenoflow)) data("CoolingTower") ### Check which parameters are in the fingerprint CoolingTower@param ### Lets run with the standard c("FL1-H","FL3-H") and lets evaluate how the ### microbial community compares between the start-up and control phase of the ### cooling water system. comp <- fp_contrasts(CoolingTower, comp1 = c(5:9), comp2 = c(1:4), param=c("FL1-H","FL3-H"), thresh=0.01) ### Plot v <- ggplot2::ggplot(comp, ggplot2::aes(`FL1-H`, `FL3-H`, z = Density))+ ggplot2::geom_tile(ggplot2::aes(fill=Density)) + ggplot2::geom_point(colour="gray", alpha=0.4)+ ggplot2::scale_fill_distiller(palette="RdBu", na.value="white") + ggplot2::stat_contour(ggplot2::aes(fill=..level..), geom="polygon", binwidth=0.1)+ ggplot2::theme_bw()+ ggplot2::geom_contour(color = "white", alpha = 1) ### Red/positive values indicate higher density for the reactor start-up. ### blue/negative values indicate lower density during start-up. print(v)
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