Hello, I have a doubt, but it is more statistic than just about R: How the people deal usually with negative percentile and quartile? In my concrete case, I want to know the distribution of an error, so the nearest it is to 0 the better (I think it would be optimun to have the nearest values to 0 in the lower percentiles). The best result would be making the percentile of the absolute value (without sign), but the sing is also important, and I need to keep it. This results in the big negative values to be in the lower percentiles, which are usually understanded as the best cases, since we are working with an error. My question is, what is the usual thing done in this cases? keep the sign, and read the lower percentiles as bad cases also (being the optimal ones the center ones) or try to somehow get the signless distribution keeping the signs somehow? And if this is the case, how can this be done?
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