1
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1answer
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This is the PDF that I am dealing with: ...
3
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1answer
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I'm building a supervised learning model where the target variable is a uniformly-distributed continuous value ranging from 0-1 (originally a rank value from 1-38000, then scaled down to 0-1). The 20 ...
2
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1answer
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I'd like to generate a new point which should be uniformly distributed on the interval [a, b) (i.e. including the left extreme value - a and exluding the right extreme value - b). The ...
2
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1answer
100 views

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I ran Tassel3 and I filtered results with p-value not more than 0.05. This way, it is ok to draw a Manhattan plot. However, for a QQ-plot there is a problem. Say I have 40 thousands SNPs, after ...
0
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1answer
254 views

Kolmogorv Smirnov Test in R

I want to proof the "Relative Age Effect" of a football team. I have a list of birth dates of the team members (about 20 numbers between 1 and 365, the day of the year). I now want to use the KS-Test ...
3
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1answer
1k views

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I am trying to generate random samples from a custom pdf using R. My pdf is: $$f_{X}(x) = \frac{3}{2} (1-x^2), 0 \le x \le 1$$ I generated uniform samples and then tried to transform it to my custom ...
11
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3answers
2k views

Are there default functions for discrete uniform distributions in R?

Most standard distributions in R have a family of commands - pdf/pmf, cdf/cmf, quantile, random deviates (for example- dnorm, pnorm, qnorm, rnorm). I know it's easy enough to make use of some ...