calathea {popbio} | R Documentation |
Projection matrices for a tropical understory herb (Calathea ovandensis) for plots 1-4 and years 1982-1985.
data(calathea)
A list of 16 matrices ordered by plot then year.
A projection matrix constructed using a post-breeding census with 8 size classes: seed, seedling, juvenile, pre-reproductive, and 4 reproductive classes divided by leaf area.
Table 7 in Horvitz and Schemske (1995).
Horvitz, C.C. and D.W. Schemske. 1995. Spatiotemporal variation in demographic transitions of a tropical understory herb: Projection matrix analysis. Ecological Monographs 65:155-192.
data(calathea) ## Single matrix calathea[[11]] image2(calathea[[11]], text.cex=.8) title( paste("Calathea", names(calathea[11])), line=3) ## MEAN matrix (pooled matrix in table 8 - see LTRE example) mean(calathea) ## all plot 1 calathea[1:4] ## all 1982 matrices calathea[ grep("1982", names(calathea)) ] # OR # calathea[seq(1,16,4)] # split(calathea, 1:4)[[1]] ## Growth rates -see Figure 7 x<- matrix(sapply(lapply(calathea, eigen.analysis), '[[', "lambda1"), nrow=4) colnames(x)<-paste("Plot", 1:4) matplot(x, type='l', las=1, xlim=c(0.7,4.3), ylim=c(.7,1.3), yaxs='i', xaxt='n', ylab="Growth rate") axis(1, 1:4, paste(82:85, "-", 83:86, sep="")) legend(1.8,1.3, paste("Plot", 1:4), col=1:4, lty=1:4, ncol=2, bty='n') ## Damping ratios -see Table 12 #x<-matrix(sapply(lapply(calathea, eigen.analysis), '[[',"damping.ratio"), nrow=4) x<-matrix(sapply(calathea, eigen.analysis)["damping.ratio",], nrow=4) dimnames(x)<-list(paste(1982:1985, "-", 1983:1986, sep=""), paste("plot", 1:4)) x