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| # | |
| # depvar_not_log.R, 13 Jul 16 | |
| # | |
| # Data from: | |
| # On the variation and specialisation of workload - A case study of the Gnome ecosystem community | |
| # Bogdan Vasilescu and Alexander Serebrenik and Mathieu Goeminne and Tom Mens | |
| # | |
| # Example from: | |
| # Empirical Software Engineering using R | |
| # Derek M. Jones | |
| source("ESEUR_config.r") | |
| plot_layout(2, 1) | |
| pal_col=rainbow(3) | |
| aw_path = paste0(ESEUR_dir, "regression/AW.csv.xz") | |
| nta_path = paste0(ESEUR_dir, "regression/NTA.csv.xz") | |
| AW = read.csv(file=aw_path, head=TRUE, sep=";") | |
| NTA = read.csv(file=nta_path, head=TRUE, sep=";") | |
| mdf = merge(AW, NTA) | |
| # Ignore 'unknown' activities | |
| # Authors with 14 activities become authors with 13 activities | |
| mdf1 = mdf | |
| mdf1[which(mdf1$NTA == 14),]$NTA = 13 | |
| plot(mdf1$NTA, mdf1$AW, log="y", col=point_col, | |
| xlab="Activity types per author", ylab="Author workload\n") | |
| plot(0, type="n", log="y", | |
| xlim=c(0, 12), ylim=c(1e-3, 1e4), | |
| xlab="Activity types per author", ylab="Ratio\n") | |
| points(mdf1$NTA, mdf1$AW/mdf1$NTA, col=pal_col[1]) | |
| points(mdf1$NTA, mdf1$AW/mdf1$NTA^2, col=pal_col[2]) | |
| points(mdf1$NTA, mdf1$AW/exp(mdf1$NTA), col=pal_col[3]) | |
| legend(x="bottomleft", legend=c("Linear", "Quadratic", "Exponential"), bty="n", fill=pal_col, cex=1.2) | |