Mercurial > hg > plosone_underreview
comparison scripts_R/Metadata_subsetBLSM.R @ 91:d3e05cd49feb branch-tests
trying to plot wrt PLOSONE guidelines
author | Maria Panteli <m.x.panteli@gmail.com> |
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date | Mon, 02 Oct 2017 15:32:51 +0100 |
parents | bde45ce0eeab |
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89:8a2d56880050 | 91:d3e05cd49feb |
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10 Arial <- Type1Font(family="Arial", metrics=c("ArialMT.afm","arial-BoldMT.afm","Arial-ItalicMT.afm", "Arial-BoldItalicMT.afm")) | 10 Arial <- Type1Font(family="Arial", metrics=c("ArialMT.afm","arial-BoldMT.afm","Arial-ItalicMT.afm", "Arial-BoldItalicMT.afm")) |
11 postscriptFonts(Arial=Arial) | 11 postscriptFonts(Arial=Arial) |
12 par(family="Arial") | 12 par(family="Arial") |
13 | 13 |
14 #pdf(file="data/country_distribution_BL.pdf") | 14 #pdf(file="data/country_distribution_BL.pdf") |
15 pdf(file="../data/results/country_distribution.pdf") | 15 pdf(file="../data/results/country_distribution.pdf", pointsize=12, width=6, height=4) |
16 PlotCountryCounts(df) | 16 PlotCountryCounts(df) |
17 dev.off() | 17 dev.off() |
18 postscript(file="../data/results/country_distribution.eps") | 18 postscript(file="../data/results/country_distribution.eps", pointsize=12, width=6, height=4) |
19 PlotCountryCounts(df) | 19 PlotCountryCounts(df) |
20 dev.off() | 20 dev.off() |
21 | 21 |
22 pdf(file="../data/results/year_distribution.pdf", width=6, height=4) | 22 pdf(file="../data/results/year_distribution.pdf", width=6, height=4, pointsize=12) |
23 PlotYearDistribution(df) | 23 PlotYearDistribution(df) |
24 dev.off() | 24 dev.off() |
25 postscript("../data/results/year_distribution.eps", width=10) | 25 postscript("../data/results/year_distribution.eps", width=10, pointsize=12) |
26 PlotYearDistribution(df) | 26 PlotYearDistribution(df) |
27 dev.off() | 27 dev.off() |
28 #PlotBarChart(df, cat="Year", ordercat="REGION", mincount=10) | 28 #PlotBarChart(df, cat="Year", ordercat="REGION", mincount=10) |
29 | 29 |
30 #pdf(file="data/language_distribution_BL.pdf") | 30 #pdf(file="data/language_distribution_BL.pdf") |
31 levels(df$Language)[which(levels(df$Language)=="Southwestern Caribbean Creole English")]="SouthW Carib. Creole English" | 31 levels(df$Language)[which(levels(df$Language)=="Southwestern Caribbean Creole English")]="SouthW Carib. Creole English" |
32 df$Language[which(df$Language=="Southwestern Caribbean Creole English")] = "SouthW Carib. Creole English" | 32 df$Language[which(df$Language=="Southwestern Caribbean Creole English")] = "SouthW Carib. Creole English" |
33 levels(df$Language)[which(levels(df$Language)=="Lesser Antillean Creole French")]="Lesser Antil. Creole French" | 33 levels(df$Language)[which(levels(df$Language)=="Lesser Antillean Creole French")]="Lesser Antil. Creole French" |
34 df$Language[which(df$Language=="Lesser Antillean Creole French")] = "Lesser Antil. Creole French" | 34 df$Language[which(df$Language=="Lesser Antillean Creole French")] = "Lesser Antil. Creole French" |
35 df$REGION[which(df$Country=="French Guiana")] = "South America" | 35 df$REGION[which(df$Country=="French Guiana")] = "South America" |
36 pdf(file="../data/results/language_distribution.pdf") | 36 pdf(file="../data/results/language_distribution.pdf", pointsize=12) |
37 PlotBarChart(df, cat="Language", ordercat="Region", mincount=10) | 37 PlotBarChart(df, cat="Language", ordercat="Region", mincount=10) |
38 dev.off() | 38 dev.off() |
39 postscript("../data/results/language_distribution.eps", width=8, height=10) | 39 postscript("../data/results/language_distribution.eps", width=8, height=10, pointsize=12) |
40 PlotBarChart(df, cat="Language", ordercat="Region", mincount=10) | 40 PlotBarChart(df, cat="Language", ordercat="Region", mincount=10) |
41 dev.off() | 41 dev.off() |
42 | 42 |
43 df = read.csv('../data/results/df_and_clusters.csv', header=T) | 43 df = read.csv('../data/results/df_and_clusters.csv', header=T) |
44 #PlotBarChart(df, cat="Clusters", ordercat="CountryLang", mincount=1,legend=F) | 44 #PlotBarChart(df, cat="Clusters", ordercat="CountryLang", mincount=1,legend=F) |
126 #g = g+guides(fill = guide_legend(title = "Region"))+theme(legend.position=c(.9,.8),legend.margin = unit(0, "cm"),legend.key.size = unit(0.3, "cm"),legend.title = element_text(size=10),legend.text = element_text(size=10)) | 126 #g = g+guides(fill = guide_legend(title = "Region"))+theme(legend.position=c(.9,.8),legend.margin = unit(0, "cm"),legend.key.size = unit(0.3, "cm"),legend.title = element_text(size=10),legend.text = element_text(size=10)) |
127 #g = g+guides(fill = guide_legend(title = "Region"))+theme(legend.position="left",legend.margin = unit(0, "cm"),legend.key.size = unit(0.3, "cm"),legend.title = element_text(size=9),legend.text = element_text(size=9)) | 127 #g = g+guides(fill = guide_legend(title = "Region"))+theme(legend.position="left",legend.margin = unit(0, "cm"),legend.key.size = unit(0.3, "cm"),legend.title = element_text(size=9),legend.text = element_text(size=9)) |
128 g = g+guides(fill = guide_legend(title = "Region"))+theme(legend.position="top",legend.title = element_text(size=9),legend.text = element_text(size=9)) | 128 g = g+guides(fill = guide_legend(title = "Region"))+theme(legend.position="top",legend.title = element_text(size=9),legend.text = element_text(size=9)) |
129 g = g+theme(panel.border = element_rect(colour = "white"),strip.background=element_rect(fill="white"),strip.text.x = element_blank()) | 129 g = g+theme(panel.border = element_rect(colour = "white"),strip.background=element_rect(fill="white"),strip.text.x = element_blank()) |
130 #g = g+theme(axis.text.y = element_text(colour = ddata$labels$col)) | 130 #g = g+theme(axis.text.y = element_text(colour = ddata$labels$col)) |
131 ggsave('../data/results/clusters_top3.pdf',plot=g) | 131 ggsave('../data/results/clusters_top3.pdf',plot=g, pointsize=12) |
132 ggsave('../data/results/clusters_top3.eps',plot=g) | 132 ggsave('../data/results/clusters_top3.eps',plot=g, pointsize=12) |