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POGoogle Docs exports spreadsheet values with commas. read.csv() in R treats these as factors instead of numeric
 

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  1. POGoogle Docs exports spreadsheet values with commas. read.csv() in R treats these as factors instead of numeric
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    <p>I am new to R and am trying to read a public Google spreadsheet into an R data frame with numeric columns. My problem seems to be that the exported spreadsheet has commas in large numbers, such as "13,061.422". The read.csv() function treats this as a factor. I tried stringsAsFactors=FALSE and colClasses=c(rep("numeric",7)) but neither worked. Is there a way to coerce the values with commas and decimals to numeric values, either within read.csv() or afterwards when they are treated as Factors in the R dataframe? Here is my code:</p> <pre><code>require(RCurl) myCsv &lt;- getURL("https://docs.google.com/spreadsheet/pub?hl=en_US&amp;hl=en_US&amp;key=0Agbdciapt4QZdE95UDFoNHlyNnl6aGlqbGF0cDIzTlE&amp;single=true&amp;gid=0&amp;range=A1%3AG4928&amp;output=csv", ssl.verifypeer=FALSE) #ssl.verifypeer=FALSE gets around certificate issues I don't understand. fullmatrix &lt;- read.csv(textConnection(myCsv)) str(fullmatrix) </code></pre> <p>which results in:</p> <pre><code>'data.frame': 4927 obs. of 7 variables: $ wave. : Factor w/ 4927 levels "1,000.8900","1,002.8190",..: 4875 4874 4873 4872 4871 4870 4869 4868 4867 4866 ... $ wavelength : Factor w/ 4927 levels "1,000.074","1,000.267",..: 1 2 3 4 5 6 7 8 9 10 ... $ d2o : num 85.2 87.7 86.3 87.6 85.6 ... $ di : num 54.3 55.8 54.9 55.6 54.9 ... $ ddw : num 48.2 49.7 49.4 50.2 49.6 ... $ ddw.old : num 53.3 55 53.9 54.8 53.7 ... $ d2o.ddw.mix: num 65.8 67.9 67.2 68.4 66.8 ... </code></pre> <p>Thanks for any help! I am new to R, so guessing (hoping) this is an easy one!</p>
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