Mercurial > repos > davidvanzessen > shm_csr
comparison pattern_plots.r @ 5:012a738edf5a draft
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author | davidvanzessen |
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date | Tue, 01 Nov 2016 10:15:37 -0400 |
parents | faae21ba5c63 |
children | 81453585dfc3 |
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4:477e95b098fd | 5:012a738edf5a |
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20 | 20 |
21 dat = read.table(input.file, header=F, sep=",", quote="", stringsAsFactors=F, fill=T, row.names=1) | 21 dat = read.table(input.file, header=F, sep=",", quote="", stringsAsFactors=F, fill=T, row.names=1) |
22 | 22 |
23 | 23 |
24 | 24 |
25 classes = c("IGA", "IGA1", "IGA2", "IGG", "IGG1", "IGG2", "IGG3", "IGG4", "IGM") | 25 classes = c("IGA", "IGA1", "IGA2", "IGG", "IGG1", "IGG2", "IGG3", "IGG4", "IGM", "IGE") |
26 xyz = c("x", "y", "z") | 26 xyz = c("x", "y", "z") |
27 new.names = c(paste(rep(classes, each=3), xyz, sep="."), paste("un", xyz, sep="."), paste("all", xyz, sep=".")) | 27 new.names = c(paste(rep(classes, each=3), xyz, sep="."), paste("un", xyz, sep="."), paste("all", xyz, sep=".")) |
28 | 28 |
29 names(dat) = new.names | 29 names(dat) = new.names |
30 | 30 |
43 data1 = data1[order(data1$Type),] | 43 data1 = data1[order(data1$Type),] |
44 | 44 |
45 write.table(data1, plot1.txt, quote=F, sep="\t", na="", row.names=F, col.names=T) | 45 write.table(data1, plot1.txt, quote=F, sep="\t", na="", row.names=F, col.names=T) |
46 | 46 |
47 p = ggplot(data1, aes(Class, value)) + geom_bar(aes(fill=Type), stat="identity", position="dodge", colour = "black") + ylab("% of mutations") + guides(fill=guide_legend(title=NULL)) | 47 p = ggplot(data1, aes(Class, value)) + geom_bar(aes(fill=Type), stat="identity", position="dodge", colour = "black") + ylab("% of mutations") + guides(fill=guide_legend(title=NULL)) |
48 p = p + theme(panel.background = element_rect(fill = "white", colour="black"),text = element_text(size=13, colour="black")) + scale_fill_manual(values=c("RGYW.WRCY" = "white", "TW.WA" = "blue4")) | 48 p = p + theme(panel.background = element_rect(fill = "white", colour="black"),text = element_text(size=15, colour="black"), axis.text.x = element_text(angle = 45, hjust = 1)) + scale_fill_manual(values=c("RGYW.WRCY" = "white", "TW.WA" = "blue4")) |
49 #p = p + scale_colour_manual(values=c("RGYW.WRCY" = "black", "TW.WA" = "blue4")) | 49 #p = p + scale_colour_manual(values=c("RGYW.WRCY" = "black", "TW.WA" = "blue4")) |
50 png(filename=plot1.png, width=480, height=300) | 50 png(filename=plot1.png, width=480, height=300) |
51 print(p) | 51 print(p) |
52 dev.off() | 52 dev.off() |
53 | 53 |
77 data2 = data2[order(data2$Type),] | 77 data2 = data2[order(data2$Type),] |
78 | 78 |
79 write.table(data2, plot2.txt, quote=F, sep="\t", na="", row.names=F, col.names=T) | 79 write.table(data2, plot2.txt, quote=F, sep="\t", na="", row.names=F, col.names=T) |
80 | 80 |
81 p = ggplot(data2, aes(x=Class, y=value, fill=Type)) + geom_bar(position="fill", stat="identity", colour = "black") + scale_y_continuous(labels=percent_format()) + guides(fill=guide_legend(title=NULL)) + ylab("% of mutations") | 81 p = ggplot(data2, aes(x=Class, y=value, fill=Type)) + geom_bar(position="fill", stat="identity", colour = "black") + scale_y_continuous(labels=percent_format()) + guides(fill=guide_legend(title=NULL)) + ylab("% of mutations") |
82 p = p + theme(panel.background = element_rect(fill = "white", colour="black"), text = element_text(size=13, colour="black")) + scale_fill_manual(values=c("A/T" = "blue4", "G/C transversions" = "gray74", "G/C transitions" = "white")) | 82 p = p + theme(panel.background = element_rect(fill = "white", colour="black"), text = element_text(size=15, colour="black"), axis.text.x = element_text(angle = 45, hjust = 1)) + scale_fill_manual(values=c("A/T" = "blue4", "G/C transversions" = "gray74", "G/C transitions" = "white")) |
83 #p = p + scale_colour_manual(values=c("A/T" = "blue4", "G/C transversions" = "gray74", "G/C transitions" = "black")) | 83 #p = p + scale_colour_manual(values=c("A/T" = "blue4", "G/C transversions" = "gray74", "G/C transitions" = "black")) |
84 png(filename=plot2.png, width=480, height=300) | 84 png(filename=plot2.png, width=480, height=300) |
85 print(p) | 85 print(p) |
86 dev.off() | 86 dev.off() |
87 | 87 |
113 data3 = data3[order(data3$Type),] | 113 data3 = data3[order(data3$Type),] |
114 | 114 |
115 write.table(data3, plot3.txt, quote=F, sep="\t", na="", row.names=F, col.names=T) | 115 write.table(data3, plot3.txt, quote=F, sep="\t", na="", row.names=F, col.names=T) |
116 | 116 |
117 p = ggplot(data3, aes(Class, value)) + geom_bar(aes(fill=Type), stat="identity", position="dodge", colour = "black") + ylab("% of nucleotides") + guides(fill=guide_legend(title=NULL)) | 117 p = ggplot(data3, aes(Class, value)) + geom_bar(aes(fill=Type), stat="identity", position="dodge", colour = "black") + ylab("% of nucleotides") + guides(fill=guide_legend(title=NULL)) |
118 p = p + theme(panel.background = element_rect(fill = "white", colour="black"), text = element_text(size=13, colour="black")) + scale_fill_manual(values=c("A/T" = "blue4", "G/C transversions" = "gray74", "G/C transitions" = "white")) | 118 p = p + theme(panel.background = element_rect(fill = "white", colour="black"), text = element_text(size=15, colour="black"), axis.text.x = element_text(angle = 45, hjust = 1)) + scale_fill_manual(values=c("A/T" = "blue4", "G/C transversions" = "gray74", "G/C transitions" = "white")) |
119 #p = p + scale_colour_manual(values=c("A/T" = "blue4", "G/C transversions" = "gray74", "G/C transitions" = "black")) | 119 #p = p + scale_colour_manual(values=c("A/T" = "blue4", "G/C transversions" = "gray74", "G/C transitions" = "black")) |
120 png(filename=plot3.png, width=480, height=300) | 120 png(filename=plot3.png, width=480, height=300) |
121 print(p) | 121 print(p) |
122 dev.off() | 122 dev.off() |
123 | 123 |