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I want to perform a Shapiro-Wilk Normality Test test. My data is csv format. It looks like this: heisenberg HWWIchg 1 …
r statistics normal-distributionI'm very confused as to what np.exp() actually does. In the documentation it says that it: "Calculates the exponential …
python numpy statistics expIs there a way to calculate mean and standard deviation for a vector containing samples using Boost? Or do I …
c++ algorithm boost statistics meanI notice that In [30]: np.mean([1, 2, 3]) Out[30]: 2.0 In [31]: np.average([1, 2, 3]) Out[31]: 2.0 However, there should be some differences, since after all …
python numpy statistics average meanI am looking for a function in Numpy or Scipy (or any rigorous Python library) that will give me the …
python numpy scipy statisticsCould someone explain to the statistically naive what the difference between Multiple R-squared and Adjusted R-squared is? I am doing …
r statistics regressionINTRODUCTION: I have a list of more than 30,000 integer values ranging from 0 to 47, inclusive, e.g.[0,0,0,0,..,1,1,1,1,...,2,2,2,2,...,47,47,47,...] sampled from some continuous …
python numpy statistics scipy distributionI need to read the ''wdbc.data' in the following data folder: http://archive.ics.uci.edu/ml/machine-learning-databases/breast-cancer-wisconsin/ …
r dataset statisticsWhen estimating the relative size of user stories in agile software development the members of the team are supposed to …
math statistics agile agile-project-managementI have an array of lists of numbers, e.g.: [0] (0.01, 0.01, 0.02, 0.04, 0.03) [1] (0.00, 0.02, 0.02, 0.03, 0.02) [2] (0.01, 0.02, 0.02, 0.03, 0.02) ... [n] (0.01, 0.00, 0.01, 0.05, 0.03) What I would like to do is efficiently calculate …
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