ggplot2 of PCA
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yueli7 ▴ 10
@yueli7-8401
Last seen 3 months ago
China

Hello, I only can draw six points. It should be 40 points. Thanks in advance for great help! Best, Yue

library(ggplot2)
rld <- rlog(dds)
data <- plotPCA(rld, intgroup=c("condition", "name"), returnData=TRUE)
percentVar <- round(100 * attr(data, "percentVar"))
p<- ggplot(data, aes(PC1, PC2, color=condition, shape=name)) +
  geom_point(size=3) +
  xlab(paste0("PC1: ",percentVar[1],"% variance")) +
  ylab(paste0("PC2: ",percentVar[2],"% variance"))
p

Screenshot-from-2020-06-19-22-23-46

software error ggplot2 • 360 views
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@kevin
Last seen 51 minutes ago
Republic of Ireland

I do not think that it's practical to plot that many groups in the same plot space. Try to condense your data into less groups and re-try. If you must, take a look at this answer: https://stackoverflow.com/questions/46803260/assigning-40-shapes-or-more-in-scale-shape-manual/46814238

If you want more advanced functionality, then try PCAtools, also on Bioconductor.

Kevin

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Hello Kein Blighe, Thank you so much for your great help and really appreciated! Best, Yue

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leahfa • 0
@leahfa-23736
Last seen 15 months ago

I think its a ggplot issue You are assigning "name" to shape, but ggplot provides just 6 shapes by default and you have far more names. You can probably force it to add shapes but it doesnt really make any sense. First try plotting it without setting "shape" aesthetic at all - you should see all the points. If you deeply care about identifying points by name , you can add name as a label ( dont forgot to add geom_text() . and I would shorten the names first). If you want to see how replicates cluster, add another variable to your original dataframe and use that. Best

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