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ID gender age height weight 1 male 47 175 209 2 male 43 176 210 3 female 41 176 175 Please report on the frequency

ID gender age height weight
1 male 47 175 209
2 male 43 176 210
3 female 41 176 175

Please report on the frequency and percentage of missing data of all variables including newly created variable BMI, obtain a subset that contains individuals with complete information on all variables and state the size of this subset. I do not know how to obtain a subset that contains individuals with complete information in R programming. this table is a sample from the whole data set. the data set include some missing data.

for this question I found the BMI from this function

BMI = function(height,weight){ bmiR <- 0.45455*weight/(.0254*height)^2 return(bmiR) } # Calling the function

BMI(data['height'], data['weight'])

but now I'm so confused with this question.

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