Created
May 15, 2012 22:44
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pubmed trend for pain
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| source('pubmed_trend.r') | |
| sex.pub <- pubmed_trend(search.str = 'Sex+Characteristics[mh] AND Pain[mh]', year.span=1970:2011) | |
| analgesic.pub <- pubmed_trend(search.str = 'Sex+Characteristics[mh] AND Analgesics[mh]', year.span=1970:2011) | |
| source('plot_bar.r') | |
| library("RColorBrewer") | |
| pdf(file='sex_pain.pdf', height=8, width=8) | |
| par(las=1) | |
| colorfunction = colorRampPalette(brewer.pal(9, "Reds")) | |
| mycolors = colorfunction(length(sex.pub)) | |
| plot_bar(x=sex.pub, linecol="#525252", cols=mycolors, addArg=FALSE) | |
| colorfunction = colorRampPalette(brewer.pal(9, "Blues")) | |
| mycolors = colorfunction(length(analgesic.pub)) | |
| plot_bar(x=analgesic.pub, linecol='black', cols=mycolors, addArg=TRUE) | |
| title('Number of publication per year') | |
| legend('topleft', | |
| legend=c('Sex and Pain', 'Sex and Analgesics'), | |
| fill=c("red", "blue"), | |
| bty="n", | |
| cex=1.1 | |
| ) | |
| dev.off() |
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thx dude,
I read it here http://www.r-bloggers.com/using-r-to-graph-a-subject-trend-in-pubmed/
and it took me some time to explore these steps
:)
great work btw!!