So just like Q[i] is the quantile function, m should be considered m[i]. For algorithms 1 and 2, m is 0, for 3, m is -1/2, and for the others, that's in the next part. For the continuous sample quantile types (4 …

r get value only from quantile () function Asked 10 years, 10 months ago Modified 7 years, 7 months ago Viewed 56k times

I would like to propose a version, which seems to be more robust, since I ran into a lot of problems using quantile() in the breaks option cut() on my dataset. I am using the ntile function of plyr, but it also …

However, I can't find an easy way to do the inverse—calculate the probability for a given quantile in the sample x. The closest I've come is to use pnorm() with the same mean and standard deviation I used …

Oct 7, 2014 · The generic function quantile produces sample quantiles corresponding to the given probabilities. See quantile for more description. As mentioned here, quantiles are essentially the …

Mar 21, 2018 · I noticed that the base R quantile function does not support date arguments. I appreciate that defining quantiles for dates needs care in the definitions (i.e. if you have 6 dates and ask for the ...

May 27, 2015 · @eipi10 How can you create a new variable in the same dataset with quantile? The downside of using it in summarize is that it collapses your dataset, when I usually want to calculate …

Dec 21, 2019 · I need to know how to filter a dataframe so that only the results belonging to quantile 3 (Q3, 0.75) appear in some specific columns. I will try to explain myself. I have the following …

Apr 20, 2017 · Using CUT and Quartile to generate breaks in R function Asked 13 years, 4 months ago Modified 3 years ago Viewed 74k times

Jul 23, 2016 · So sample quantile is has nothing to do with ECDF. For n sorted samples, sample quantile function is in fact a linear interpolation function of (x, y), with: x-values being seq(0, 1, length …