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    <p>The error you get is caused by a the <code>colClasses</code> argument - some values in the file to not match the datatypes you specified.</p> <p>Most of the time I encounter something like this, I probably just had some counting problem with the <code>colClasses</code> argument, e.g it would maybe be</p> <pre><code>colClasses=c(rep("factor",5),"numeric", rep("factor",4), rep("numeric",7),"factor") </code></pre> <p>instead of your default values. That may be simply checked by carefully comparing the contents of the first lines of your file with the datatypes you specified.</p> <p>If this does not do the trick for you, you probably have some wrong datatype where you do not expect it. A simple, yet slow approach is to remove the <code>colClasses</code> argument and first read the whole file without specific options - probably add <code>stringsAsFactors=FALSE</code> to get only character values. This probably should work.</p> <p>Then you may try to convert each column one by one, like</p> <pre><code>data$itemId &lt;- as.numeric(data$itemId) </code></pre> <p>and then check the result for <code>NA</code> values, easily done by <code>summary(data$itemId)</code>. If you got <code>NA</code> values, you can call <code>which(is.na(data$itemId))</code> to get the row number and check your original file whether the <code>NA</code> in fact is valid or if you have some data problems there. </p> <p>Most of the time you will be able to narrow down your problem this way. </p> <p>If your file a lot of columns, however, this quickly becomes a lot of work....</p>
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