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| # | |
| # piantadosi2014zipfs.R, 28 Jul 18 | |
| # Data from: | |
| # Zipf's word frequency law in natural language: a critical review and future directions | |
| # Steven T. Piantadosi | |
| # | |
| # Example from: | |
| # Evidence-based Software Engineering using R | |
| # Derek M. Jones | |
| source("ESEUR_config.r") | |
| library("plyr") | |
| pal_col=rainbow(3) | |
| mean_val=function(df) | |
| { | |
| return(data.frame(Value=df$Value[1], Occurrences=mean(df$Occurrences))) | |
| } | |
| all_nums=read.csv(paste0(ESEUR_dir, "ecosystems/piantadosi2014zipfs.csv.xz"), as.is=TRUE) | |
| after_1960=subset(all_nums, Year >= 1960) | |
| eng=subset(after_1960, Language == "Eng") | |
| ita=subset(after_1960, Language == "Ita") | |
| rus=subset(after_1960, Language == "Rus") | |
| e_mean=ddply(eng, .(Value), mean_val) | |
| i_mean=ddply(ita, .(Value), mean_val) | |
| r_mean=ddply(rus, .(Value), mean_val) | |
| plot(e_mean$Value, e_mean$Occurrences, log="xy", col=pal_col[1], | |
| ylim=range(c(e_mean$Occurrences, i_mean$Occurrences)), | |
| xlab="Numeric word value", ylab="Occurrences\n") | |
| points(r_mean$Value, r_mean$Occurrences, col=pal_col[2]) | |
| points(i_mean$Value, i_mean$Occurrences, col=pal_col[3]) | |
| legend(x="bottomleft", legend=c("English", "Russian", "Italian"), bty="n", fill=pal_col, cex=1.2) | |