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POWhy am I getting a function error in seemingly similar R code?
 

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  1. POWhy am I getting a function error in seemingly similar R code?
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    <p>First, this is a very basic question that I'm unsure of how to phrase. If the question is a duplicate (though I checked using what I thought might be appropriate phrasing), I'll obviously retract and appreciate the link. </p> <p>Second, I am <em>sure</em> there is an easier way to do what I'm trying, but don't want to get off-track. </p> <p>OK. I'm attempting to just get a table of column proportions from a matrix of 0/1's (the proportion of 1's conditional on a value of another variable, which is PARTY in this case). </p> <p>my data.frame is m103, and of dimensions (437,91) and the following process works (as in, produces what I want): </p> <pre><code>prop.table(as.matrix(ddply(m103, .(PARTY), sum, na.rm=T))) </code></pre> <p>But of course, I want to actually keep the output, and this is where the error arises. If I do this: </p> <pre><code>a &lt;- prop.table(as.matrix(ddply(m103, .(PARTY), sum, na.rm=T))) </code></pre> <p>Things are great. But IMMEDIATELY after this, if I try: </p> <pre><code>m103.avg.prop &lt;- prop.table(as.matrix(ddply(m103, .(PARTY), sum, na.rm=T))) </code></pre> <p>I get the error: </p> <pre><code>Error in FUN(X[[2L]], ...) : only defined on a data frame with all numeric variables </code></pre> <p>I'd like to keep a rational naming scheme going in my code (which the second example would continue), but I can't tell if this has something to do with what I've tried to assign the output to, or something else. </p> <p>Many thanks! </p> <p>EDIT: Let's see if I can be more explicit</p> <pre><code>#Data import m103 &lt;- read.csv("103_members_party.csv", header=T) #See the first few rows/columns m103[1:5,1:5] #Produces this: ID PARTY X930 X461 X137 1 15245 100 0 0 0 2 15000 100 0 0 0 3 29108 200 0 0 0 4 15001 100 0 0 0 5 29132 100 0 0 0 #Sum and get col percentages by PARTY (sums the 1's when PARTY==100, PARTY==200, etc) #WITHOUT assigning to anything prop.table(as.matrix(ddply(m103, .(PARTY), sum, na.rm=T))) #Produces: PARTY V1 [1,] 1.122515e-05 0.580000465 [2,] 2.245030e-05 0.416619418 [3,] 3.681849e-05 0.003309623 #With assignment to a a &lt;- prop.table(as.matrix(ddply(m103, .(PARTY), sum, na.rm=T))) a #Produces PARTY V1 [1,] 1.122515e-05 0.580000465 [2,] 2.245030e-05 0.416619418 [3,] 3.681849e-05 0.003309623 #Now, assignment to m103.avg.prop m103.avg.prop &lt;- prop.table(as.matrix(ddply(m103, .(PARTY), sum, na.rm=T))) #results in error: Error in FUN(X[[2L]], ...) : only defined on a data frame with all numeric variables </code></pre>
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