Mercurial > repos > davidvanzessen > argalaxy_tools
comparison report_clonality/RScript.r @ 14:15961ca8d9ce draft
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author | davidvanzessen |
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date | Tue, 20 Dec 2016 06:26:44 -0500 |
parents | d3ebaa2d2fe0 |
children | 02efa5764a0a |
comparison
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13:d3ebaa2d2fe0 | 14:15961ca8d9ce |
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405 theme(axis.text.x = element_text(angle = 90, hjust = 1)) + | 405 theme(axis.text.x = element_text(angle = 90, hjust = 1)) + |
406 scale_fill_gradient(low="gold", high="blue", na.value="white") + | 406 scale_fill_gradient(low="gold", high="blue", na.value="white") + |
407 ggtitle(paste(unique(dat$Sample), " (N=" , sum(dat$Length, na.rm=T) ,")", sep="")) + | 407 ggtitle(paste(unique(dat$Sample), " (N=" , sum(dat$Length, na.rm=T) ,")", sep="")) + |
408 xlab("D genes") + | 408 xlab("D genes") + |
409 ylab("V Genes") + | 409 ylab("V Genes") + |
410 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), panel.grid.major = element_line(colour = "gainsboro")) | 410 theme(panel.background = element_rect(fill = "white", colour="black"),text = element_text(size=15, colour="black"), panel.grid.major = element_line(colour = "gainsboro")) |
411 | 411 |
412 png(paste("HeatmapVD_", unique(dat[3])[1,1] , ".png", sep=""), width=150+(15*length(Dchain$v.name)), height=100+(15*length(Vchain$v.name))) | 412 png(paste("HeatmapVD_", unique(dat[3])[1,1] , ".png", sep=""), width=150+(15*length(Dchain$v.name)), height=100+(15*length(Vchain$v.name))) |
413 print(img) | 413 print(img) |
414 dev.off() | 414 dev.off() |
415 write.table(x=acast(dat, Top.V.Gene~Top.D.Gene, value.var="Length"), file=paste("HeatmapVD_", unique(dat[3])[1,1], ".csv", sep=""), sep=",",quote=F,row.names=T,col.names=NA) | 415 write.table(x=acast(dat, Top.V.Gene~Top.D.Gene, value.var="Length"), file=paste("HeatmapVD_", unique(dat[3])[1,1], ".csv", sep=""), sep=",",quote=F,row.names=T,col.names=NA) |
455 theme(axis.text.x = element_text(angle = 90, hjust = 1)) + | 455 theme(axis.text.x = element_text(angle = 90, hjust = 1)) + |
456 scale_fill_gradient(low="gold", high="blue", na.value="white") + | 456 scale_fill_gradient(low="gold", high="blue", na.value="white") + |
457 ggtitle(paste(unique(dat$Sample), " (N=" , sum(dat$Length, na.rm=T) ,")", sep="")) + | 457 ggtitle(paste(unique(dat$Sample), " (N=" , sum(dat$Length, na.rm=T) ,")", sep="")) + |
458 xlab("J genes") + | 458 xlab("J genes") + |
459 ylab("V Genes") + | 459 ylab("V Genes") + |
460 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), panel.grid.major = element_line(colour = "gainsboro")) | 460 theme(panel.background = element_rect(fill = "white", colour="black"),text = element_text(size=15, colour="black"), panel.grid.major = element_line(colour = "gainsboro")) |
461 | 461 |
462 png(paste("HeatmapVJ_", unique(dat[3])[1,1] , ".png", sep=""), width=150+(15*length(Jchain$v.name)), height=100+(15*length(Vchain$v.name))) | 462 png(paste("HeatmapVJ_", unique(dat[3])[1,1] , ".png", sep=""), width=150+(15*length(Jchain$v.name)), height=100+(15*length(Vchain$v.name))) |
463 print(img) | 463 print(img) |
464 dev.off() | 464 dev.off() |
465 write.table(x=acast(dat, Top.V.Gene~Top.J.Gene, value.var="Length"), file=paste("HeatmapVJ_", unique(dat[3])[1,1], ".csv", sep=""), sep=",",quote=F,row.names=T,col.names=NA) | 465 write.table(x=acast(dat, Top.V.Gene~Top.J.Gene, value.var="Length"), file=paste("HeatmapVJ_", unique(dat[3])[1,1], ".csv", sep=""), sep=",",quote=F,row.names=T,col.names=NA) |
504 theme(axis.text.x = element_text(angle = 90, hjust = 1)) + | 504 theme(axis.text.x = element_text(angle = 90, hjust = 1)) + |
505 scale_fill_gradient(low="gold", high="blue", na.value="white") + | 505 scale_fill_gradient(low="gold", high="blue", na.value="white") + |
506 ggtitle(paste(unique(dat$Sample), " (N=" , sum(dat$Length, na.rm=T) ,")", sep="")) + | 506 ggtitle(paste(unique(dat$Sample), " (N=" , sum(dat$Length, na.rm=T) ,")", sep="")) + |
507 xlab("J genes") + | 507 xlab("J genes") + |
508 ylab("D Genes") + | 508 ylab("D Genes") + |
509 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), panel.grid.major = element_line(colour = "gainsboro")) | 509 theme(panel.background = element_rect(fill = "white", colour="black"),text = element_text(size=15, colour="black"), panel.grid.major = element_line(colour = "gainsboro")) |
510 | 510 |
511 png(paste("HeatmapDJ_", unique(dat[3])[1,1] , ".png", sep=""), width=150+(15*length(Jchain$v.name)), height=100+(15*length(Dchain$v.name))) | 511 png(paste("HeatmapDJ_", unique(dat[3])[1,1] , ".png", sep=""), width=150+(15*length(Jchain$v.name)), height=100+(15*length(Dchain$v.name))) |
512 print(img) | 512 print(img) |
513 dev.off() | 513 dev.off() |
514 write.table(x=acast(dat, Top.D.Gene~Top.J.Gene, value.var="Length"), file=paste("HeatmapDJ_", unique(dat[3])[1,1], ".csv", sep=""), sep=",",quote=F,row.names=T,col.names=NA) | 514 write.table(x=acast(dat, Top.D.Gene~Top.J.Gene, value.var="Length"), file=paste("HeatmapDJ_", unique(dat[3])[1,1], ".csv", sep=""), sep=",",quote=F,row.names=T,col.names=NA) |