Google Spreadsheets currently does not support the standard function TDIST - i.e. the Student's t-distribution. This function is critical for calculating p-values.  It seems that this is related to the fact that no integral-using functions (AFAIC...
Can anyone recommend a good javascript statistics library?  Perhaps one recommendation per question, and let the votes push the best to the top.    note:  Searching for javascript statistics seems lead one towards attempts at gathering statistics, I...
I have this dataset for income:  Income      Number of people 0           245981 8.8         150444 30          126063 49.9        123519 70          115029 90.7        277149 109.1       355768 130         324246 150.3       353239 170.2       39600...
I'm trying to convert something from my excel spreadsheets into Javascript and came along the NORMSINV() macro in my spreadsheets.   The NormSInv() is nicely documented at http://office.microsoft.com/en-us/excel-help/normsinv-HP005209195.aspx. Ba...
The current quantile scale takes all the input values as the domain to map the output range.  But if the data is extremely large, I want the processing to happen on the server giving me the quartile values.  So I get:          var quartiles=[5, 10, 1...
I am at the final stages of my website, and currently I need to find a suitable statistics application/tool.  I have looked into webalizer, but it seems outdated.  Also, I have looked into Google analytics, but I am afraid that if I implement it, my...
This question is turned into a Q&A, because I had struggle finding the answer, and think it can be useful for others   I have a JavaScript array of values and need to calculate in JavaScript its Q2 (50th percentile aka MEDIAN), Q1 (25th percen...
I need to generate random numbers from JavaScript within the Beta probability distribution.  I've Googled but can't find any libraries that appear to support this.  Can anyone suggest where I can find a library or code snippet that will do th...
I have two arrays.  I want a percent value that describes how much their values are different. I try using MSE and RMSE:  /** * Mean Squared Error *    MSE = (1/n) * ?[(r - p)^2]} */ export function computeMse(a, b) {   const size = a.length   let er...
I've created a website where users will be able to add entries, associate rows in different tables and so on. I need to track what actions users are doing for a score table.  I also need to keep track on page views.  I'm trying to figure out...

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