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ping other 12 3 1 2 0 1 1 4 1 1 2 3 1 4 0 2 2 3 3 3 1 2 0 1 Not quite the output I want but the code does run. I am not sure how to go about achieving the output I want. Any pointers would be appreciated. A: Without seeing your data, it is difficult to be sure. Try this in a new data.frame called temp: newdf[newdf$yes_count + newdf$no_count == newdf$ping_count, ] You will probably want to run that newdf[newdf$yes_count + newdf$no_count == newdf$ping_count, ] to filter out rows where the numbers are different. In the code, I am adding the no_count to the yes_count. You can change that. For a unique count, just remove the third column. There is a version of this question with an answer with a hint on how to proceed. Zinc in preclinical and clinical nutrition and medicine. The history of zinc in nutritional and clinical research is told using a combination of published literature and personal recollections. In general, the development of preclinical research was less advanced than the development of clinical research, but still important in delineating some mechanisms of zinc toxicity and in suggesting methods to avoid zinc toxicity, which, in some cases, led to the later development of zinc supplements. The clinical research began in 1922 and ended in 1970, with a variety of studies on the effects of zinc supplementation on humans. The clinical research on humans established the efficacy of zinc in growth, in combating diarrhea and pneumonia, in reducing the infectious morbidity and mortality of low birth weight infants, and in treating several skin diseases. The efficacy of zinc in such diverse areas suggests that zinc, in addition to being an essential element, may also




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