Mercurial > repos > davidvanzessen > test_plotting_merged
changeset 3:d27d745d0556 draft
Uploaded
| author | davidvanzessen |
|---|---|
| date | Mon, 14 Oct 2013 07:20:38 -0400 |
| parents | aac19ac7cb21 |
| children | 10cfa5e9186e |
| files | RScript.r |
| diffstat | 1 files changed, 6 insertions(+), 6 deletions(-) [+] |
line wrap: on
line diff
--- a/RScript.r Fri Oct 11 09:11:03 2013 -0400 +++ b/RScript.r Mon Oct 14 07:20:38 2013 -0400 @@ -111,7 +111,7 @@ ggplot() + geom_tile(data=dat, aes(x=factor(Top.D.Gene), y=factor(Top.V.Gene), fill=log)) + theme(axis.text.x = element_text(angle = 90, hjust = 1)) + - scale_fill_gradient(low="gold", high="blue") + + scale_fill_gradient(low="gold", high="blue", na.value="white") + ggtitle(unique(dat$Sample)) + xlab("D genes") + ylab("V Genes") @@ -124,7 +124,7 @@ completeVD = merge(VandDCount, cartegianProductVD, all.y=TRUE) completeVD$Length = as.numeric(completeVD$Length) completeVD$log = log(completeVD$Length) -completeVD$log[is.na(completeVD$log)] = 0 +#completeVD$log[is.na(completeVD$log)] = 0 l = split(completeVD, f=completeVD[,"Sample"]) png("HeatmapVD%d.png", width=150+(15*length(Dchain$v.name)), height=100+(15*length(Vchain$v.name))) lapply(l, FUN=plotVD) @@ -135,7 +135,7 @@ ggplot() + geom_tile(data=dat, aes(x=factor(Top.J.Gene), y=factor(Top.V.Gene), fill=log)) + theme(axis.text.x = element_text(angle = 90, hjust = 1)) + - scale_fill_gradient(low="gold", high="blue") + + scale_fill_gradient(low="gold", high="blue", na.value="white") + ggtitle(unique(dat$Sample)) + xlab("J genes") + ylab("V Genes") @@ -147,7 +147,7 @@ completeVJ = merge(VandJCount, cartegianProductVJ, all.y=TRUE) completeVJ$Length = as.numeric(completeVJ$Length) completeVJ$log = log(completeVJ$Length) -completeVJ$log[is.na(completeVJ$log)] = 0 +#completeVJ$log[is.na(completeVJ$log)] = 0 l = split(completeVJ, f=completeVJ[,"Sample"]) png("HeatmapVJ%d.png", width=150+(15*length(Jchain$v.name)), height=100+(15*length(Vchain$v.name))) lapply(l, FUN=plotVJ) @@ -157,7 +157,7 @@ ggplot() + geom_tile(data=dat, aes(x=factor(Top.J.Gene), y=factor(Top.D.Gene), fill=log)) + theme(axis.text.x = element_text(angle = 90, hjust = 1)) + - scale_fill_gradient(low="gold", high="blue") + + scale_fill_gradient(low="gold", high="blue", na.value="white") + ggtitle(unique(dat$Sample)) + xlab("J genes") + ylab("D Genes") @@ -169,7 +169,7 @@ completeDJ = merge(DandJCount, cartegianProductDJ, all.y=TRUE) completeDJ$Length = as.numeric(completeDJ$Length) completeDJ$log = log(completeDJ$Length) -completeDJ$log[is.na(completeDJ$log)] = 0 +#completeDJ$log[is.na(completeDJ$log)] = 0 l = split(completeDJ, f=completeDJ[,"Sample"]) png("HeatmapDJ%d.png", width=150+(15*length(Jchain$v.name)), height=100+(15*length(Dchain$v.name))) lapply(l, FUN=plotDJ)