comparison scripts_R/MetadataPlots.R @ 91:d3e05cd49feb branch-tests

trying to plot wrt PLOSONE guidelines
author Maria Panteli <m.x.panteli@gmail.com>
date Mon, 02 Oct 2017 15:32:51 +0100
parents bde45ce0eeab
children
comparison
equal deleted inserted replaced
89:8a2d56880050 91:d3e05cd49feb
1 library(rworldmap) 1 library(rworldmap)
2 library(ggplot2) 2 library(ggplot2)
3
4 library(extrafont)
5 font_import()
6 loadfonts()
7 Arial <- Type1Font(family="Arial", metrics=c("ArialMT.afm","arial-BoldMT.afm","Arial-ItalicMT.afm", "Arial-BoldItalicMT.afm"))
8 postscriptFonts(Arial=Arial)
9 par(family="Arial")
3 10
4 PlotBarChart<- function(df, cat="Language", ordercat="REGION", mincount=10, legend=T, color_plt="Paired"){ 11 PlotBarChart<- function(df, cat="Language", ordercat="REGION", mincount=10, legend=T, color_plt="Paired"){
5 idx_cat = which(colnames(df)==cat) 12 idx_cat = which(colnames(df)==cat)
6 idx_ordercat = which(colnames(df)==ordercat) 13 idx_ordercat = which(colnames(df)==ordercat)
7 dfsub <- subset(df, df[,idx_cat]!="") 14 dfsub <- subset(df, df[,idx_cat]!="")
11 dfsub[,idx_cat] <- factor(dfsub[,idx_cat], levels=unique(dfsub[,idx_cat])) 18 dfsub[,idx_cat] <- factor(dfsub[,idx_cat], levels=unique(dfsub[,idx_cat]))
12 g = ggplot(dfsub,aes(dfsub[,idx_cat], fill=dfsub[,idx_ordercat], order=-as.numeric(dfsub[,idx_ordercat])))+geom_bar() 19 g = ggplot(dfsub,aes(dfsub[,idx_cat], fill=dfsub[,idx_ordercat], order=-as.numeric(dfsub[,idx_ordercat])))+geom_bar()
13 #g = g+ylim("0", "100")#+scale_y_discrete(breaks=c("100"),labels=c("100+")) 20 #g = g+ylim("0", "100")#+scale_y_discrete(breaks=c("100"),labels=c("100+"))
14 g=g+scale_y_continuous(limits=c(0, 200), breaks=seq(0,200,40)) 21 g=g+scale_y_continuous(limits=c(0, 200), breaks=seq(0,200,40))
15 g=g+scale_fill_brewer(palette=color_plt) 22 g=g+scale_fill_brewer(palette=color_plt)
16 g=g+theme(axis.text.x=element_text(angle=90,hjust=1,vjust=0.5)) 23 g=g+theme(axis.text.x=element_text(angle=90,hjust=1,vjust=0.5), text = element_text(size=12))
17 g=g+labs(y="Counts",x=cat)+coord_flip()+theme_bw() 24 g=g+labs(y="Counts",x=cat)+coord_flip()+theme_bw()
18 if (legend){ 25 if (legend){
19 g=g+guides(fill = guide_legend(title = ordercat))} 26 g=g+guides(fill = guide_legend(title = ordercat))}
20 else{ 27 else{
21 g=g+guides(fill="none") 28 g=g+guides(fill="none")
74 # avoid antarctica 81 # avoid antarctica
75 #mapParams <- mapCountryData(spdf, nameColumnToPlot="Outliers", ylim=c(-60,90), catMethod=seq(0,1,0.1), missingCountryCol='grey',colourPalette='heat', mapTitle="", addLegend=FALSE) 82 #mapParams <- mapCountryData(spdf, nameColumnToPlot="Outliers", ylim=c(-60,90), catMethod=seq(0,1,0.1), missingCountryCol='grey',colourPalette='heat', mapTitle="", addLegend=FALSE)
76 #do.call( addMapLegend, c(mapParams, labelFontSize=0.7, legendWidth=0.5, tcl=0.3, legendMar = 7, legendLabels="all",horizontal=T, legendIntervals="page")) 83 #do.call( addMapLegend, c(mapParams, labelFontSize=0.7, legendWidth=0.5, tcl=0.3, legendMar = 7, legendLabels="all",horizontal=T, legendIntervals="page"))
77 legend("left", legend = c(paste(seq(90,0,-10),'-',seq(100,10,-10),'%'), 'NA'), fill = c(heat.colors(10, alpha = 1), 'grey'), cex = 0.56, bty = "o",bg="white",box.lwd=0,box.col="white") 84 legend("left", legend = c(paste(seq(90,0,-10),'-',seq(100,10,-10),'%'), 'NA'), fill = c(heat.colors(10, alpha = 1), 'grey'), cex = 0.56, bty = "o",bg="white",box.lwd=0,box.col="white")
78 if (output!=''){ 85 if (output!=''){
79 pdf(output) 86 if (grepl('.pdf', output)){
87 pdf(output, pointsize=12)
88 } else if (grepl('.eps', output)){
89 postscript(output, pointsize=12)
90 }
80 #mapParams <- mapCountryData(spdf, nameColumnToPlot="Outliers",catMethod=seq(0,70,5),missingCountryCol='grey',colourPalette='heat', mapTitle="", addLegend=FALSE) 91 #mapParams <- mapCountryData(spdf, nameColumnToPlot="Outliers",catMethod=seq(0,70,5),missingCountryCol='grey',colourPalette='heat', mapTitle="", addLegend=FALSE)
81 mapParams <- mapCountryData(spdf, nameColumnToPlot="Outliers", catMethod=seq(0,1,0.1), missingCountryCol='grey',colourPalette='heat', mapTitle="", addLegend=FALSE) 92 mapParams <- mapCountryData(spdf, nameColumnToPlot="Outliers", catMethod=seq(0,1,0.1), missingCountryCol='grey',colourPalette='heat', mapTitle="", addLegend=FALSE)
82 #mapParams <- mapCountryData(spdf, nameColumnToPlot="Outliers", ylim=c(-60,90), catMethod=seq(0,1,0.1), missingCountryCol='grey',colourPalette='heat', mapTitle="", addLegend=FALSE) 93 #mapParams <- mapCountryData(spdf, nameColumnToPlot="Outliers", ylim=c(-60,90), catMethod=seq(0,1,0.1), missingCountryCol='grey',colourPalette='heat', mapTitle="", addLegend=FALSE)
83 #do.call( addMapLegend, c(mapParams, labelFontSize=0.7, legendWidth=0.5, tcl=0.3, legendMar=7, legendLabels="all",horizontal=T, legendIntervals="page")) 94 #do.call( addMapLegend, c(mapParams, labelFontSize=0.7, legendWidth=0.5, tcl=0.3, legendMar=7, legendLabels="all",horizontal=T, legendIntervals="page"))
84 legend("left", legend = c(paste(seq(90,0,-10),'-',seq(100,10,-10),'%'), 'NA'), fill = c(heat.colors(10, alpha = 1), 'grey'), cex = 0.56, bty = "o",bg="white",box.lwd=0,box.col="white") 95 legend("left", legend = c(paste(seq(90,0,-10),'-',seq(100,10,-10),'%'), 'NA'), fill = c(heat.colors(10, alpha = 1), 'grey'), cex = 0.56, bty = "o",bg="white",box.lwd=0,box.col="white")