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POR create a matrix
 

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    <p>I have to read some external files, extract some columns and complete the missing values with zeros. So if the first file has in the column$Name: a, b, c, d, and the column$Area with discrete values; the second file has in the some column: b, d, e, f and so on for the further files I need to create a data frame such this:</p> <pre><code> a b c d e f File1 value value value value 0 0 File2 0 value 0 value value value </code></pre> <p>This is the dummy code I wrote to try to better explain my problem:</p> <pre><code>listDFs &lt;- list() for(i in 1:10){ listDFs[[i]] &lt;- data.frame(Name=c( c(paste(sample(letters,size=2,replace=TRUE),collapse="")), c(paste(sample(letters,size=2,replace=TRUE),collapse="")), c(paste(sample(letters,size=2,replace=TRUE),collapse="")), c(paste(sample(letters,size=2,replace=TRUE),collapse="")), c(paste(sample(letters,size=2,replace=TRUE),collapse="")), c(paste(sample(letters,size=2,replace=TRUE),collapse="")), c(paste(sample(letters,size=2,replace=TRUE),collapse=""))), Area=runif(7)) } lComposti &lt;- sapply(listDFs, FUN = "[","Name") dfComposti &lt;- data.frame(matrix(unlist(lComposti),byrow=TRUE)) colnames(dfComposti) &lt;- "Name" dfComposti &lt;- unique(dfComposti) # ## The CORE of the code lArea &lt;- list() for(i in 1:10){ lArea[[i]] &lt;- ifelse(dfComposti$Name %in% listDFs[[i]]$Name, listDFs[[i]]$Area, 0)} # mtxArea &lt;- (matrix(unlist(lArea),nrow=c(10),ncol=dim(dfComposti)[1],byrow=TRUE)) </code></pre> <p>The problem is about the "synchronization" between the column name and each values.</p> <p>Have you some suggestion??</p> <p>If my code result to be un-clear I can also upload the files I work with.</p> <p>Best</p>
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