Pull in species area and species abundance code

speciesArea/dadaSpeciesArea.R

@@ -0,0 +1,52 @@
+source('readInfo.R')
+if(!dir.exists('out'))dir.create('out')
+
+dadaRareN<-read.csv('work/dadaRareN.csv',row.names=1)
+dadaRareN<-structure(dadaRareN$rare,.Names=rownames(dadaRareN))
+dadaRareN<-dadaRareN[goodIds]
+dadaWeights<-info[names(dadaRareN),'weight']
+dadaSpecies<-sub('unknown_or_none $',' sp.',apply(info[names(dadaRareN),c('genus','species','subspecies')],1,paste,collapse=' '))
+dadaClass<-info[names(dadaRareN),'class']
+dadaSpecies[grepl('^unknown_or_none',dadaSpecies)]<-NA
+dadaCommon<-info[names(dadaRareN),'common']
+dadaDat<-data.frame(
+  'weight'=log10(tapply(dadaWeights,dadaSpecies,mean)),
+  'otu'=log10(tapply(dadaRareN,dadaSpecies,mean)),
+  'class'=tapply(dadaClass,dadaSpecies,unique),
+  'common'=tapply(dadaCommon,dadaSpecies,unique),
+  stringsAsFactors=FALSE
+)
+summary(lm(otu~weight,dadaDat))
+
+
+library(ggrepel)
+library(scales)
+scientific_10 <- function(x) {
+    parse(text=gsub("e", " %*% 10^", scales::scientific_format()(x)))
+}
+classColors<-structure(
+  c('#8dd3c7','#ffed6f','#bc80bd','#fccde5','#80b1d3','#fdb462','#b3de69','#fb8072','#bebada','#ccebc5'),
+  .Names = c("Actinopteri", "Aves", "Chondrichthyes", "Diplopoda", "Holothuroidea", "Insecta", "Malacostraca", "Mammalia", "Polychaeta", "Reptilia")
+)
+pdf('out/dadaSpeciesArea.pdf',width=7,height=7,useDingbats=FALSE)
+print(
+  ggplot(dadaDat, aes(10^weight, 10^otu, label = sub(' ','\n',common))) +
+    geom_smooth(method=lm, color='#00000033')+
+    geom_text_repel(size=2.5,box.padding=.12,point.padding=.3,lineheight=.7,min.segment.length=.1,max.iter=3e4,nudge_y=.02,nudge_x=.1,color='#00000099') +
+    #scale_x_continuous(trans='log10',label=scientific_10)+
+    ylab('Number of sequence variants (rarefied to 500 reads)')+
+    xlab('Animal weight (g)')+
+    theme_classic(base_size = 16)+
+    scale_x_log10(
+      breaks = scales::trans_breaks("log10", function(x) 10^x),
+      labels = scales::trans_format("log10", scales::math_format(10^.x))
+    ) +
+    scale_y_log10(
+      breaks = scales::trans_breaks("log10", function(x) 10^x,n=3),
+      labels = scales::trans_format("log10", scales::math_format(10^.x))
+    ) +
+    annotation_logticks(sides = "lb",short = unit(1,"mm"), mid = unit(1,"mm"), long = unit(2,"mm"))+
+    geom_point(fill = classColors[dadaDat$class],pch=21,size=4)
+)
+dev.off()
+