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Help !please! 7. A geneticist weighted 28 female lambs at birth. The lambs were all born in April, were all the same breed (Rambouillet), and

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7. A geneticist weighted 28 female lambs at birth. The lambs were all born in April, were all the same breed (Rambouillet), and were all single births (no twins). The diet and other environmental conditions were the same for all the parents First, when you import the data into R, there will be "NA" values in it, because the lambs" column is shorter than the "tree" column in the .csv file. The R functions that you need to use should rurn despite the presence of the "NA" values, but if you want to get rid of them, the na.omit function will do that. For example, if you separate out the "lambs" sample data by specifying the column number (and you store the data as "lambs"), you can get rid of the "NA" values and redefine "lambs" to be the sample data with the "NA" values removed. Like this: beaders > lanbs lanbs

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