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2. python - Finding the average of a list - Stack Overflow

   stackoverflow.com/questions/9039961

   This is because under the hood, mean() uses statistics._sum() which returns a data type to convert the mean into (and Decimal is not on Python's number hierarchy), while fmean() uses math.fsum() which just adds the numbers up (which is also much faster than built-in sum() function).

3. list - How to calculate mean in python? - Stack Overflow

   stackoverflow.com/questions/20329746

   If you're not using numpy, the obvious way to calculate the arithmetic mean of a list of values is to divide the sum of all elements by the number of elements, which is easily achieved using the two built-ins sum() and len(), e.g.: In case the list elements are strings, one way to convert them is with a list comprehension: For an integer result ...

4. r - Calculate the mean by group - Stack Overflow

   stackoverflow.com/questions/11562656

   Calculate a mean by groups in R. 1. R compute mean and sum of value in dataframe using group_by. 0 ...

5. r - Calculate mean, standard deviation, n, etc. across columns...

   stackoverflow.com/questions/46526833

   I am trying to calculate the number of samples, mean, standard deviation, coefficient of variation, lower and upper 95% confidence limits, and quartiles of this data set across each column and put it into a new data frame. The numbers below are not necessarily all correct & I didn't fill them all in, just provides an example.

6. python - pandas get column average/mean - Stack Overflow

   stackoverflow.com/questions/31037298

   You can simply go for: df.describe () that will provide you with all the relevant details you need, but to find the min, max or average value of a particular column (say 'weights' in your case), use: df['weights'].mean(): For average value. df['weights'].max(): For maximum value.

7. Pandas: using groupby to get mean for each data category

   stackoverflow.com/questions/29314424

   Rather, you would need to group on integers or categories of some type. try something like: df.groupby(['data', 'category'])['passing_site', 'testTime'].mean() You're grouping on 'data' and 'category', and then calculating the mean for the numerical columns 'passing_site' and 'testTime'. answered Mar 28, 2015 at 17:04.

8. Calculate mean by group using dplyr package - Stack Overflow

   stackoverflow.com/questions/46661461

   I'm practicing dplyr package using famous dataset from ggplot2, 'diamonds' data. I am trying to calculate mean 'price' of diamonds grouped by variable 'cut'. My code is as following. price.cut &l...

9. r - Calculate row means on subset of columns - Stack Overflow

   stackoverflow.com/questions/10945703

   Calculate row means on a subset of columns: Create a new data.frame which specifies the first column from DF as an column called ID and calculates the mean of all the other fields on that row, and puts that into column entitled 'Means': data.frame(ID=DF[,1], Means=rowMeans(DF[,-1])) ID Means. 1 A 3.666667.

10. java - How to calculate mean, median, mode and range from a set...

    stackoverflow.com/questions/4191687

    ADDITION. If you are using Java 8 or higher, you can also determine the modes like this: public static List<Integer> getModes(final List<Integer> numbers) { final Map ...

11. R dplyr rowwise mean or min and other methods? - Stack Overflow

    stackoverflow.com/questions/31598935

    If I want to calculate the min rowwise I could use do.call(pmin, mydataframe) Is there anything simple like this for the rowwise mean? do.call(mean, mydataframe) doesn't work, I guess I need a pmean function or something more complex. Thanks. In order to compare the results we could all work on the same example: