source("code/initialise.R")
# Code to download logs of various packages
# # Not run to avoid cranlogs dependency for book
# dd = cranlogs::cran_downloads(packages = c("V8", "Rcpp", "rPython", "rJava"),
# from = "2013-01-01", to = "2016-11-01")
# dd$Downloads <- ave(
# dd$count,
# dd$package,
# FUN = function(x)
# zoo::rollmean(x, k = 30, na.pad = T)
# )
# saveRDS(dd, "extdata/cranlog.Rds")
dd = readRDS("extdata/cranlog.Rds")
dd = dd[dd$count > 0, ]
v8 = dd[dd$package == "V8", ]
rcpp = dd[dd$package == "Rcpp", ]
rjava = dd[dd$package == "rJava", ]
rpython = dd[dd$package == "rPython", ]
par(mar = c(3, 3, 2, 1), mgp = c(2, 0.4, 0), tck = -.01,
cex.axis = 0.9, las = 1, xaxs = "i", yaxs = "i")
# Blank graph
start = as.Date("2013-01-01"); end = as.Date("2016-11-01")
plot(rcpp$date[1], type = "n", xlim = c(start, end), ylim = c(10^0, 2 * 10^4),
axes = FALSE, frame = FALSE,
xlab = "Time", ylab = "Downloads per day",
log = "y")
abline(h = 10 ^ (0:4), lty = 1, col = "grey80")
# Add R versions
R_dates = as.Date(c("2013-04-03", "2014-04-03", "2015-04-03", "2016-04-03"))
R_vers = paste0("R 3.", 0:3)
abline(v = R_dates, col = "grey90", lty = 2)
text(R_dates, 11800, R_vers, pos = 4, col = "grey50", cex = 0.9)
# Label lines
lines(rcpp$date, rcpp$Downloads, lwd = 3, col = 3)
lines(v8$date, v8$Downloads, lwd = 2, col = 4)
lines(rjava$date, rjava$Downloads, lwd = 2, col = 2)
lines(rpython$date, rpython$Downloads, lwd = 2, col = 1)
# Add axis
axis(2, tick = FALSE, col.axis = "grey50", cex.axis = 0.8)
axis(1, at = c(as.Date("2013-01-01"), as.Date("2014-01-01"),
as.Date("2015-01-01"), as.Date("2016-01-01")),
labels = 2013:2016, tick = F, col.axis = "grey50", cex.axis = 0.8)
title("The rise of Rcpp", adj = 1,
cex.main = 0.9, font.main = 2, col.main = "black")
# Label lines
text(as.Date("2013-06-01"), 6, "rPython", col = 1, font = 2, cex = 0.9)
text(as.Date("2014-02-01"), 3000, "Rcpp", col = 3, font = 2, cex = 0.9)
text(as.Date("2015-02-01"), 80, "V8", col = 4, font = 2, cex = 0.9)
text(as.Date("2015-03-01"), 1000, "rJava", col = 2, font = 2, cex = 0.9)
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