search for: tuvalu

Dear all, being a relative beginner in R, I apologize for posting the second question within two days. So I want a stacked barchart, which should look like the one produced by this code: Tuvalu <- c(9,3,4,0,3,0,0) Singapor <- c(38,0,0,0,12,19,0) Samoa <- c(26,16,2,0,5,2,0) PNG <- c(56,4,0,5,2,0,56) Micronesia <- c(6,0,0,0,0,0,0) graph4 <- data.frame(rbind(Tuvalu,Singapor,Samoa,PNG,Micronesia)) graph4$country <- c("Tuvalu","Singapore","Samoa&qu...

p { margin-bottom: 0.08in; } Dear All, I will appreciate some suggestions of R packages for "ESTIMATION OF THE EXPONENT OF POWER-LAW FREQUENCY DISTRIBUTIONS". I have been searching at the R-help list several keywords for this subject and I did not find a very specific package, except the useful normalp package. I believe there are others but I was not able to identify it. I have

...CDF and the Pareto Q-Q plots. This provided me with a visual cue of a potential power-law distribution (at least, that's what I am boldly thinking). So I went ahead and performed the procedure as suggested by Clauset, Shalizi, and Newman (2007/09), by reusing the essentials found in http://tuvalu.santafe.edu/~aaronc/powerlaws/plfit.r. I obtained and tested the following fitting estimates based on dat1: xmin <- 0.01715686 alpha <- 2.381581 I then simply wanted to print the observed and fitted dists in one plot, so I ran: library(ggplot2) library(VGAM) dat2 <- rpareto(length(da...