first commit

.gitignore

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+.Rhistory
+.Rproj.user
+img
+data

README.md

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+# Mind the gender gap: COVID-19 lockdown effects on gender differences in research
+
+Supporting methods and data.

analysis-fig.R

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+source(knitr::purl("analysis.Rmd", output=tempfile()))
+
+ggplot(df.plot.papers) +
+  aes(yearmon+2017, n) + facet_wrap(~category, scales="free_y") +
+  geom_col(data=df.plot.papers.all) +
+  geom_smooth(data=df.plot.papers.all) +
+  geom_col() + geom_smooth() +
+  zoo::scale_x_yearmon(format="%Y") +
+  labs(y="Number of papers per month", x=NULL)
+ggsave("img/Fig1.eps", width=190.5, height=100, units="mm", scale=1.6, device=cairo_ps)
+
+ggplot(df.plot.p_male) +
+  aes(yearmon+2017, p_male) + facet_wrap(~category) +
+  geom_point(data=df.plot.p_male.all) +
+  geom_smooth(method="gam", data=df.plot.p_male.all) +
+  geom_point() + geom_smooth(method="gam") +
+  zoo::scale_x_yearmon(format="%Y") +
+  expand_limits(y=1) +
+  labs(y="Proportion of male authors", x=NULL)
+ggsave("img/Fig2.eps", width=190.5, height=100, units="mm", scale=1.6, device=cairo_ps)
+
+ggplot(filter(df.terms, type=="GLMM" | is.na(type))) +
+  aes(estimate, term, xmin=conf.low, xmax=conf.high, color=type) +
+  facet_grid("fit", scales="free_y", space="free_y") +
+  geom_vline(xintercept=1, color="black", linetype="dashed") +
+  geom_errorbarh(height=0, size=1) + geom_point(size=2) +
+  ggrepel::geom_text_repel(
+    aes(label=p.label), nudge_y=0.3, nudge_x=0.01, segment.size=0, show.legend=FALSE) +
+  scale_x_log10(breaks=c(0.2, 0.5, 1, 2, 5)) +
+  scale_color_manual(values="black", na.value=grDevices::adjustcolor("grey50", 0.5)) +
+  labs(y=NULL, x="Odds ratio", color="Model") +
+  theme(legend.position="none")
+ggsave("img/Fig3.eps", width=132, height=100, units="mm", scale=1.6, device=cairo_ps)
+
+ggplot(df.re.category) +
+  aes(estimate, term, xmin=conf.low, xmax=conf.high, color=group) +
+  geom_vline(xintercept=1, color="black", linetype="dashed") +
+  geom_errorbarh(height=0, size=1) + geom_point(size=2) +
+  scale_x_log10(breaks=c(0.2, 0.5, 1, 2, 5)) +
+  scale_color_manual(
+    breaks=c("pos", "neg"), values=c("blue", "red"),
+    na.value=grDevices::adjustcolor("grey50", 0.5)) +
+  labs(y=NULL, x="Odds ratio", title="Random effect: category") +
+  theme(legend.position="none")
+ggsave("img/S1_Fig.pdf", width=132, height=100, units="mm", scale=1.2, device=cairo_ps)
+
+ggplot(df.re.subcategory) +
+  aes(estimate, term, xmin=conf.low, xmax=conf.high, color=group) +
+  facet_grid("facet", scales="free_y", space="free_y") +
+  geom_vline(xintercept=1, color="black", linetype="dashed") +
+  geom_errorbarh(height=0, size=1) + geom_point(size=2) +
+  scale_x_log10(breaks=c(0.2, 0.5, 1, 2, 5)) +
+  scale_color_manual(
+    breaks=c("pos", "neg"), values=c("blue", "red"),
+    na.value=grDevices::adjustcolor("grey50", 0.5)) +
+  labs(y=NULL, x="Odds ratio", title="Random effect: subcategory") +
+  theme(legend.position="none")
+ggsave("img/S2_Fig.pdf", width=132, height=132*4, units="mm", scale=1.4, device=cairo_ps)