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2012-05-04T20:30:04.953
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If all you want to do is replace the column names with anonymous labels and likewise for levels of factors, yes. First some dummy data to use as the example <pre><code>dat <- data.frame(top_secret1 = rnorm(10), top_secret2 = runif(10), top_secret3 = factor(sample(3, 10, replace = TRUE), labels = paste("Person", 1:3, sep = ""))) </code></pre> To replace the column names do: <pre><code>dat2 <- dat colnames(dat2) <- paste("Variable", seq_len(ncol(dat2)), sep = "") </code></pre> Which gives <pre><code>> head(dat2) Variable1 Variable2 Variable3 1 -0.4858656 0.4846700 Person3 2 0.2660125 0.1727989 Person1 3 0.1595297 0.6413984 Person2 4 1.1952239 0.1892749 Person3 5 0.3914285 0.6235119 Person2 6 0.3752015 0.7057372 Person3 </code></pre> Next change the levels <pre><code>foo <- function(x) { if(is.factor(x)) { levels(x) <- sample(LETTERS, length(levels(x))) } x } dat3 <- data.frame(lapply(dat2, foo)) </code></pre> which gives <pre><code>> head(dat3) Variable1 Variable2 Variable3 1 -0.4858656 0.4846700 K 2 0.2660125 0.1727989 G 3 0.1595297 0.6413984 O 4 1.1952239 0.1892749 K 5 0.3914285 0.6235119 O 6 0.3752015 0.7057372 K </code></pre> <code>foo()</code> is just a simple wrapper to a function that passed a vector checks if it is a factor, if it is, change the levels to a vector of random letters of appropriate length, then return the vector. We can wrap this into a function to do all the changes requested <pre><code>anonymise <- function(df, colString = "Variable", rowString = "Sample") { foo <- function(x) { if(is.factor(x)) { levels(x) <- sample(LETTERS, length(levels(x))) } x } ## replace the variable names colnames(df) <- paste(colString, seq_len(ncol(df)), sep = "") ## fudge any factor levels df <- data.frame(lapply(df, foo)) ## replace rownames rownames(df) <- paste(rowString, seq_len(nrow(df)), sep = "") ## return df } </code></pre> In use this gives <pre><code>> anonymise(dat) Variable1 Variable2 Variable3 Sample1 -0.48586557 0.4846700 F Sample2 0.26601253 0.1727989 L Sample3 0.15952973 0.6413984 N Sample4 1.19522395 0.1892749 F Sample5 0.39142851 0.6235119 N Sample6 0.37520154 0.7057372 F Sample7 1.18440762 0.7355211 F Sample8 0.03605239 0.3924925 L Sample9 -0.64078219 0.4579347 N Sample10 -1.39680109 0.9047227 L </code></pre>
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1. USGavin Simpson
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