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    <p>I had to do it in two <code>reshape</code> steps. The row headings may not be exactly what you needed, but can be renamed easily.</p> <pre><code>id &lt;- as.numeric(rep(1, 16)) time &lt;- rep(c(5,10,15,20), 4) varname &lt;- c(rep("var1",4), rep("var2", 4), rep("var3", 4), rep("var4", 4)) value &lt;- rnorm(16) tmpdata &lt;- as.data.frame(cbind(id, time, varname, value)) first &lt;- reshape(tmpdata, timevar="time", idvar=c("id", "varname"), direction="wide") second &lt;- reshape(first, timevar="varname", idvar="id", direction="wide") </code></pre> <p>And the output:</p> <pre><code>&gt; tmpdata id time varname value 1 1 5 var1 -0.231227494628982 2 1 10 var1 -1.80887236653438 3 1 15 var1 -0.443229294431553 4 1 20 var1 1.33719337048763 5 1 5 var2 0.673109282347586 6 1 10 var2 -0.42142267953938 7 1 15 var2 0.874367622725874 8 1 20 var2 -1.19917678039462 9 1 5 var3 1.13495606258399 10 1 10 var3 -0.0779385346672042 11 1 15 var3 -0.126775240288037 12 1 20 var3 -0.760739300144526 13 1 5 var4 -1.94626587907069 14 1 10 var4 1.25643195699455 15 1 15 var4 -0.50986941213717 16 1 20 var4 -1.01324846239812 &gt; first id varname value.5 value.10 value.15 1 1 var1 -0.231227494628982 -1.80887236653438 -0.443229294431553 5 1 var2 0.673109282347586 -0.42142267953938 0.874367622725874 9 1 var3 1.13495606258399 -0.0779385346672042 -0.126775240288037 13 1 var4 -1.94626587907069 1.25643195699455 -0.50986941213717 value.20 1 1.33719337048763 5 -1.19917678039462 9 -0.760739300144526 13 -1.01324846239812 &gt; second id value.5.var1 value.10.var1 value.15.var1 value.20.var1 1 1 -0.231227494628982 -1.80887236653438 -0.443229294431553 1.33719337048763 value.5.var2 value.10.var2 value.15.var2 value.20.var2 1 0.673109282347586 -0.42142267953938 0.874367622725874 -1.19917678039462 value.5.var3 value.10.var3 value.15.var3 value.20.var3 1 1.13495606258399 -0.0779385346672042 -0.126775240288037 -0.760739300144526 value.5.var4 value.10.var4 value.15.var4 value.20.var4 1 -1.94626587907069 1.25643195699455 -0.50986941213717 -1.01324846239812 </code></pre>
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    1. POReshape data from long to wide, with time in new wide variable name
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    1. USRichard Herron
    1. USRichard Herron
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    1. COYou may also want to check out Hadley Wickham's `Reshape` package (I have never used it).
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      1. USRichard Herron
    2. COThank you richardh, your solution worked but I accepted Hadley's code using the reshape package because the new variables names are exactly the way I wanted (var1_5, var1_10, etc) without having additional lines of code to rename the variable names to the desired format.
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    3. CO@sheed03 -- No worries. Hadley's way is mos def the way to do it. But I noticed that his changes the order of the columns (i.e., puts the time 5 value to the far right), so make sure you take a look at the output.
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