plos_author_contributions.Rmd

Author Roles and Author Positions
========================================================

```{r}
library(ggplot2)

pac <- read.csv('data/plos_author_contributions.csv', row.names=NULL)
```

You can also embed plots, for example:

```{r}
main.roles <- c(
  'Conceived and designed the experiments',
  'Performed the experiments',
  'Analyzed the data',
  'Contributed reagents/materials/analysis tools',
  'Wrote the paper')
normalised.main.roles <- tolower(sub('^(\\w+).+$', '\\1', main.roles))

pac$num.contribs <- with(pac,
  Conceived.and.designed.the.experiments + 
  Performed.the.experiments +
  Analyzed.the.data +
  Contributed.reagents.materials.analysis.tools +
  Wrote.the.paper)

counts.conceived <- aggregate(
  Conceived.and.designed.the.experiments ~ Author.Position, pac, sum)
counts.conceived$role <- 'conceived'
names(counts.conceived) <- c('position', 'count', 'role')

counts.performed <- aggregate(
  Performed.the.experiments ~ Author.Position, pac, sum)
counts.performed$role <- 'performed'
names(counts.performed) <- c('position', 'count', 'role')

counts.analyzed <- aggregate(
  Analyzed.the.data ~ Author.Position, pac, sum)
counts.analyzed$role <- 'analyzed'
names(counts.analyzed) <- c('position', 'count', 'role')

counts.contributed <- aggregate(
  Contributed.reagents.materials.analysis.tools ~ Author.Position, pac, sum)
counts.contributed$role <- 'contributed'
names(counts.contributed) <- c('position', 'count', 'role')

counts.wrote <- aggregate(
  Wrote.the.paper ~ Author.Position, pac, sum)
counts.wrote$role <- 'wrote'
names(counts.wrote) <- c('position', 'count', 'role')

counts <- rbind(counts.conceived,
                counts.performed,
                counts.analyzed,
                counts.contributed,
                counts.wrote)

for (role in normalised.main.roles) {
  m <- counts$role == role
  counts$rel.count[m] = counts$count[m] / sum(counts$count)
}
```

```{r}
ggplot(subset(counts, position <= 20), aes(x=position, y=role)) +
  geom_point(aes(size=rel.count))
```