Mercurial > repos > davidvanzessen > plotting_merged
diff RScript.r @ 29:1c25c75d863d draft
Uploaded
author | davidvanzessen |
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date | Mon, 30 Sep 2013 05:14:21 -0400 |
parents | e920d28843b6 |
children | 548b3035bbd7 |
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--- a/RScript.r Mon Sep 30 04:19:57 2013 -0400 +++ b/RScript.r Mon Sep 30 05:14:21 2013 -0400 @@ -54,7 +54,6 @@ PRODFJ = merge(PRODFJ, Total, by.x='Sample', by.y='Sample', all.x=TRUE) PRODFJ = ddply(PRODFJ, c("Sample", "Top.J.Gene"), summarise, relFreq= (Length*100 / Total)) - V = c("v.name\tchr.orderV\nIGHV7-81\t1\nIGHV3-74\t2\nIGHV3-73\t3\nIGHV3-72\t4\nIGHV3-71\t5\nIGHV2-70\t6\nIGHV1-69\t7\nIGHV3-66\t8\nIGHV3-64\t9\nIGHV4-61\t10\nIGHV4-59\t11\nIGHV1-58\t12\nIGHV3-53\t13\nIGHV3-52\t14\nIGHV5-a\t15\nIGHV5-51\t16\nIGHV3-49\t17\nIGHV3-48\t18\nIGHV3-47\t19\nIGHV1-46\t20\nIGHV1-45\t21\nIGHV3-43\t22\nIGHV4-39\t23\nIGHV3-35\t24\nIGHV4-34\t25\nIGHV3-33\t26\nIGHV4-31\t27\nIGHV4-30-4\t28\nIGHV4-30-2\t29\nIGHV3-30-3\t30\nIGHV3-30\t31\nIGHV4-28\t32\nIGHV2-26\t33\nIGHV1-24\t34\nIGHV3-23\t35\nIGHV3-22\t36\nIGHV3-21\t37\nIGHV3-20\t38\nIGHV3-19\t39\nIGHV1-18\t40\nIGHV3-15\t41\nIGHV3-13\t42\nIGHV3-11\t43\nIGHV3-9\t44\nIGHV1-8\t45\nIGHV3-7\t46\nIGHV2-5\t47\nIGHV7-4-1\t48\nIGHV4-4\t49\nIGHV4-b\t50\nIGHV1-3\t51\nIGHV1-2\t52\nIGHV6-1\t53") tcV = textConnection(V) Vchain = read.table(tcV, sep="\t", header=TRUE) @@ -76,22 +75,26 @@ pV = ggplot(PRODFV) pV = pV + geom_bar( aes( x=factor(reorder(Top.V.Gene, chr.orderV)), y=relFreq, fill=Sample), stat='identity', position="dodge") + theme(axis.text.x = element_text(angle = 90, hjust = 1)) +pV = pV + xlab("Summary of V gene") + ylab("Frequency") + ggtitle("Relative frequency of V gene usage") #pV pD = ggplot(PRODFD) pD = pD + geom_bar( aes( x=factor(reorder(Top.D.Gene, chr.orderD)), y=relFreq, fill=Sample), stat='identity', position="dodge") + theme(axis.text.x = element_text(angle = 90, hjust = 1)) +pD = pD + xlab("Summary of D gene") + ylab("Frequency") + ggtitle("Relative frequency of D gene usage") #pD pJ = ggplot(PRODFJ) pJ = pJ + geom_bar( aes( x=factor(reorder(Top.J.Gene, chr.orderJ)), y=relFreq, fill=Sample), stat='identity', position="dodge") + theme(axis.text.x = element_text(angle = 90, hjust = 1)) +pJ = pJ + xlab("Summary of J gene") + ylab("Frequency") + ggtitle("Relative frequency of D gene usage") #pJ #plotall = grid.arrange(pV, arrangeGrob(pD, pJ, ncol=2), ncol=1, widths=c(1,1.2)) #plotall #ggsave(outFile, dpi=125) + png(outFile,width = 1920, height = 1200) -print(plotall = grid.arrange(pV, arrangeGrob(pD, pJ, ncol=2), ncol=1, widths=c(1,1.2))) +plotall = grid.arrange(pV, arrangeGrob(pD, pJ, ncol=2), ncol=1, widths=c(1,1.2)) dev.off()