- Gaussian Blur - standard deviation, radius and kernel size
Gaussian Blur - standard deviation, radius and kernel size Asked 12 years, 4 months ago Modified 6 years, 7 months ago Viewed 26k times
- python - Standard deviation in numpy - Stack Overflow
105 By default, numpy std returns the population standard deviation, in which case np std([0,1]) is correctly reported to be 0 5 If you are looking for the sample standard deviation, you can supply an optional ddof parameter to std():
- python - Standard deviation of a list - Stack Overflow
In Python 2 7 1, you may calculate standard deviation using numpy std() for: Population std: Just use numpy std() with no additional arguments besides to your data list Sample std: You need to pass ddof (i e Delta Degrees of Freedom) set to 1, as in the following example: numpy std (< your-list >, ddof=1) The divisor used in calculations is N - ddof, where N represents the number of elements
- Calculating Standard Deviation with If in Excel - Stack Overflow
Calculating Standard Deviation with If in Excel Asked 11 years, 3 months ago Modified 10 years, 11 months ago Viewed 106k times
- How to calculate a standard deviation [array] [duplicate]
Standard deviation is then just the square root of variance, as pointed out above Knuth's algorithm also allows you to calculate intermediate values of the variance as you go, if that proves useful
- Box plot with min, max, average and standard deviation
Given the information available (mean, standard deviation, min, max), errorbar is probably the only graph that can be plotted but if, say, you want to plot a box plot from aggregated data, matplotlib has bxp() method that can be used
- R manual boxplot with means and standard deviations (ggplot2)
I have a feature set around 20, and I want to compare for each feature the mean + - standard deviations of each of my 2 groups It will essentially look like this: ggplot () seems to work with data that has the raw data and it calculates the mean and standard deviation from the arrays of each feature boxplot () works similarly
- Standard deviation javascript - Stack Overflow
5 If you are estimating the standard deviation you need use the corrected standard deviation, since you are also estimating the mean Notice here that the standard deviation is undefined when there are fewer than 2 observations Which is much more correct than 0
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