Description Usage Arguments Examples
This function plots a line and the lower and upper limits of the conficende interval for each point. It can be used to plot the curves generated by 'conservation_value_seq_CI'.
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A matrix with 3 columns. Each row represents one point. The 1st columns contains the point value, while the 2nd and 3rd contain the lower and upper limits of the confidence interval, respectively. |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | data(community_data)
#Select all samples in Evironment 'A'
comm.A<-community_data[which(community_data$environment == "A"),]
# Select only the abundance matrix (columns 1 and 2 contain the 'environment' and 'sample' data)
comm.A <- comm.A[, 3:ncol(comm.A)]
#Select all samples in Evironment 'B'
comm.B<-community_data[which(community_data$environment == "B"),]
# Select only the abundance matrix (columns 1 and 2 contain the 'environment' and 'sample' data)
comm.B <- comm.B[, 3:ncol(comm.B)]
Create 30 bootstrapped communities for each of the two original communities (comm.A and comm.B)
x_boot<-bootstrap(comm.A, 30)
y_boot<-bootstrap(comm.B, 30)
# Sequentially remove abundance classes from both communities and calculate the m3 conservation metric with 95% confidence intervals
#Plot the m3 metric with confidence intervals
plot_graph_CI(m3)
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