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POReshaping a data in R
 

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  1. POReshaping a data in R
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    <p>I have a data set as presented at the bottom of the post. The data has four columns called, SIC, AT95Group, AT95Mean, AT95Med. The column AT95Group takes on four values such as "00", "01", "11", and "10". Currently, for each SIC, we have four rows for each value of AT95Group. I want to reshape the data frame in a way so that, each SIC has only one row. While earlier we had two columns called mean and med for each (SIC, AT95Group) pair, we want to create essentially 4*2 columns (4 for group "00","11","01","10") and 2 for ("Mean", and "Med"). The eight columns would be like "00Mean", "11Mean", "00Med", "11Med" etc. with the corresponding values for each SIC. </p> <p>I find this extremely difficult to do. Any suggestions, please. Thanks. </p> <pre><code>&gt; dput(head(pp,20)) structure(list(SIC = c(1L, 1L, 1L, 10L, 10L, 10L, 10L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 15L), AT95Group = c("11", "10", "00", "11", "01", "00", "10", "01", "11", "10", "00", "11", "01", "00", "10", "11", "01", "10", "00", "01"), AT95Med = c(0.0691039117115276, 0.0608649722972575, 0.0609974198491522, 0.215571816296268, 0.305308985848382, 0.351312558091798, 0.352704719896703, 0.0459887720804718, 0.0304466181779069, 0.0513875431555943, 0.0541431932578377, 0.0650920855876547, 0.143724642017362, 0.156092793582293, 0.0976059673595903, 0.0116620184564053, 0.0188895210677074, 0.0356836223212195, 0.0513040852859517, 0.0982448708035204), AT95Mean = c(0.0691039117115276, 0.0608649722972575, 0.0609974198491522, 0.215571816296268, 0.305308985848382, 0.351312558091798, 0.352704719896703, 0.0459887720804718, 0.0304466181779069, 0.0513875431555943, 0.0541431932578377, 0.0650920855876547, 0.143724642017362, 0.156092793582293, 0.0976059673595903, 0.0116620184564053, 0.0188895210677074, 0.0356836223212195, 0.0513040852859517, 0.0982448708035204)), .Names = c("SIC", "AT95Group", "AT95Med", "AT95Mean"), row.names = c(241L, 236L, 27L, 1126L, 1035L, 1030L, 664L, 1269L, 1259L, 1245L, 1244L, 3919L, 4722L, 3329L, 3222L, 4886L, 4889L, 4951L, 4860L, 5108L), class = "data.frame") </code></pre> <hr> <p>A rough failed attempt to try the mentioned code. Not sure how to proceed ahead.</p> <pre><code>pp &lt;- unique(dacc1[,c("SIC","AT95Group","AT95Med","AT95Mean")]) xsic &lt;- unique(pp[,"SIC"]); xlist &lt;- list(xsic,rep("AT95",length(xsic))); </code></pre> <hr> <p>Edit :</p> <p>Results I obtained after running troy's result:</p> <pre><code>&gt; pp1 &lt;- head(pp,20) SIC AT95Group AT95Med AT95Mean 241 1 11 0.06910391 0.06910391 236 1 10 0.06086497 0.06086497 27 1 00 0.06099742 0.06099742 1126 10 11 0.21557182 0.21557182 1035 10 01 0.30530899 0.30530899 1030 10 00 0.35131256 0.35131256 664 10 10 0.35270472 0.35270472 1269 12 01 0.04598877 0.04598877 1259 12 11 0.03044662 0.03044662 1245 12 10 0.05138754 0.05138754 1244 12 00 0.05414319 0.05414319 3919 13 11 0.06509209 0.06509209 4722 13 01 0.14372464 0.14372464 3329 13 00 0.15609279 0.15609279 3222 13 10 0.09760597 0.09760597 4886 14 11 0.01166202 0.01166202 4889 14 01 0.01888952 0.01888952 4951 14 10 0.03568362 0.03568362 4860 14 00 0.05130409 0.05130409 5108 15 01 0.09824487 0.09824487 &gt; molten&lt;-melt(pp); Using AT95Group as id variables molten$variable&lt;-paste(gsub("[AT95]","",molten$variable),molten$AT95Group," "); cast(molten[,c(1,3,4)], SIC ~ variable); &gt; cast(molten[,c(1,3,4)], SIC ~ variable); Error in `[.data.frame`(molten, , c(1, 3, 4)) : undefined columns selected </code></pre>
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    1. COhmm... not sure. One thing is that you are running melt on pp and not pp1 - is that intentional or is it possible you've reshaped pp? Because I see that melt is not including SIC in the default group, so can you replace molten<-melt(pp1) with molten<-melt(pp1,id=c("SIC","AT95Group")) - this should force it to incorporate the structure consistently.
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