User:Timothee Flutre/Notebook/Postdoc/2011/11/09

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m (Entry title: mention R "replace")
(Entry title: visualize NA in matrix)
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Or it's maybe easier with the built-in [http://stat.ethz.ch/R-manual/R-patched/library/base/html/replace.html replace] function.
Or it's maybe easier with the built-in [http://stat.ethz.ch/R-manual/R-patched/library/base/html/replace.html replace] function.
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* in R, visualize the missing values (encoded as "NA") in a matrix:
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image(1:nrow(mat), 1:ncol(mat), is.na(mat), col=c("white","black"),
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      main="Missing values", xlab="Genes", ylab="Samples")
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[[Image:Visualize_missing_values_in_matrix.png|400px]]
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Revision as of 19:49, 9 November 2011

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Entry title

  • in R, replace the row names of a matrix by their new names when the order is different (but assuming one-to-one mapping):
links <- data.frame(id1=c("a","b","c"), id2=c("1","2","3"), stringsAsFactors=FALSE)
mat <- matrix(runif(3*10), nrow=3)
rownames(mat) <- c("b","c","a")
new.rownames <- unlist(lapply(rownames(mat), function(i){links$id2[which(links$id1 == i)]}))
rownames(mat) <- new.rownames

Or it's maybe easier with the built-in replace function.


  • in R, visualize the missing values (encoded as "NA") in a matrix:
image(1:nrow(mat), 1:ncol(mat), is.na(mat), col=c("white","black"),
      main="Missing values", xlab="Genes", ylab="Samples")


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