Mercurial > repos > davidvanzessen > shm_csr
comparison shm_csr.r @ 9:372ccdcf0b2d draft
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author | davidvanzessen |
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date | Tue, 08 Nov 2016 07:32:54 -0500 |
parents | 3968d04b5724 |
children | 81453585dfc3 |
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8:3968d04b5724 | 9:372ccdcf0b2d |
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428 dat.clss = rbind(dat, dat.clss) | 428 dat.clss = rbind(dat, dat.clss) |
429 | 429 |
430 p = ggplot(dat.clss, aes(best_match, percentage_mutations)) | 430 p = ggplot(dat.clss, aes(best_match, percentage_mutations)) |
431 p = p + geom_point(aes(colour=best_match), position="jitter") + geom_boxplot(aes(middle=mean(percentage_mutations)), alpha=0.1, outlier.shape = NA) | 431 p = p + geom_point(aes(colour=best_match), position="jitter") + geom_boxplot(aes(middle=mean(percentage_mutations)), alpha=0.1, outlier.shape = NA) |
432 p = p + xlab("Subclass") + ylab("Frequency") + ggtitle("Frequency scatter plot") + theme(panel.background = element_rect(fill = "white", colour="black"), text = element_text(size=16, colour="black")) | 432 p = p + xlab("Subclass") + ylab("Frequency") + ggtitle("Frequency scatter plot") + theme(panel.background = element_rect(fill = "white", colour="black"), text = element_text(size=16, colour="black")) |
433 p = p + scale_fill_manual(values=c("IGA" = "blue4", "IGA1" = "lightblue1", "IGA2" = "blue4", "IGG" = "olivedrab3", "IGG1" = "olivedrab3", "IGG2" = "red", "IGG3" = "gold", "IGG4" = "darkred", "IGM" = "darkviolet", "all" = "blue4")) | 433 p = p + scale_fill_manual(values=c("IGA" = "blue4", "IGA1" = "lightblue1", "IGA2" = "blue4", "IGG" = "olivedrab3", "IGG1" = "olivedrab3", "IGG2" = "red", "IGG3" = "gold", "IGG4" = "darkred", "IGM" = "darkviolet", "IGE" = "darkorange", "all" = "blue4")) |
434 p = p + scale_colour_manual(values=c("IGA" = "blue4", "IGA1" = "lightblue1", "IGA2" = "blue4", "IGG" = "olivedrab3", "IGG1" = "olivedrab3", "IGG2" = "red", "IGG3" = "gold", "IGG4" = "darkred", "IGM" = "darkviolet", "all" = "blue4")) | 434 p = p + scale_colour_manual(values=c("IGA" = "blue4", "IGA1" = "lightblue1", "IGA2" = "blue4", "IGG" = "olivedrab3", "IGG1" = "olivedrab3", "IGG2" = "red", "IGG3" = "gold", "IGG4" = "darkred", "IGM" = "darkviolet", "IGE" = "darkorange", "all" = "blue4")) |
435 | 435 |
436 png(filename="scatter.png") | 436 png(filename="scatter.png") |
437 print(p) | 437 print(p) |
438 dev.off() | 438 dev.off() |
439 | 439 |
453 | 453 |
454 frequency_bins_data$frequency = round(frequency_bins_data$frequency_count / frequency_bins_data$class_sum * 100, 2) | 454 frequency_bins_data$frequency = round(frequency_bins_data$frequency_count / frequency_bins_data$class_sum * 100, 2) |
455 | 455 |
456 p = ggplot(frequency_bins_data, aes(frequency_bins, frequency)) | 456 p = ggplot(frequency_bins_data, aes(frequency_bins, frequency)) |
457 p = p + geom_bar(aes(fill=best_match_class), stat="identity", position="dodge") + theme(panel.background = element_rect(fill = "white", colour="black"), text = element_text(size=16, colour="black")) | 457 p = p + geom_bar(aes(fill=best_match_class), stat="identity", position="dodge") + theme(panel.background = element_rect(fill = "white", colour="black"), text = element_text(size=16, colour="black")) |
458 p = p + xlab("Frequency ranges") + ylab("Frequency") + ggtitle("Mutation Frequencies by class") + scale_fill_manual(values=c("IGA" = "blue4", "IGG" = "olivedrab3", "IGM" = "black", "all" = "blue4")) | 458 p = p + xlab("Frequency ranges") + ylab("Frequency") + ggtitle("Mutation Frequencies by class") + scale_fill_manual(values=c("IGA" = "blue4", "IGG" = "olivedrab3", "IGM" = "darkviolet", "IGE" = "darkorange", "all" = "blue4")) |
459 | 459 |
460 png(filename="frequency_ranges.png") | 460 png(filename="frequency_ranges.png") |
461 print(p) | 461 print(p) |
462 dev.off() | 462 dev.off() |
463 | 463 |