What’s the right statistical test in python
I have two datasets, one has predicted values (with confidence levels) and the other has actual values (as well as some unknowns)
What I am trying to do is determine what confidence level we need so we are happy to use the predicted value in place of the unknowns.
What’s the right statistical test in python
I have two datasets, one has predicted values (with confidence levels) and the other has actual values (as well as some unknowns)
What I am trying to do is determine what confidence level we need so we are happy to use the predicted value in place of the unknowns.
Trouble Aligning Factors Across Bootstraps in Principal Factor Analysis Due to Sign Flipping and Factor Swapping
I’m performing a bootstrapped principal factor analysis (PFA) on a dataset and encountering significant issues with aligning factors across bootstrap samples due to sign flipping and factor swapping, particularly with factors 3 and 4.
Trouble Aligning Factors Across Bootstraps in Principal Factor Analysis Due to Sign Flipping and Factor Swapping
I’m performing a bootstrapped principal factor analysis (PFA) on a dataset and encountering significant issues with aligning factors across bootstrap samples due to sign flipping and factor swapping, particularly with factors 3 and 4.
statistical test of cell type proportions in clusters
I have a compostion dataframe which contains spotwise compositons of cell types and their cluster informations. I am required to compare the mean abundance of cell types in each cluster with other clusters. Which test should I use and how should I do it in python/R.
Finding quartile in Python given mean, std.dev
Given the mean and standard deviation of a normal distribution, how in Python can I determine the quartile of a given point?
Python – Check if the last value in a sequence is relatively higher than the rest
For a list of percentage data, I need to check if the last value (90.2) is somehow higher and somewhat “abnormal” than the rest of the data. Clearly it is in this sequence.
I need to take inputs of confidence levels and orders so far in a day and use it to predict how many more orders will come in, using past data
Using replaceable sets of data about past orders and the times in which they were placed, and inputs for the confidence level and the amount of orders already placed, estimate the amount of orders that will arrive within a certain time period as a percentage of the orders already placed
Compute statistical values out of a precounted list in Python
I have a dataframe of precounted data (shown below). Let’s assume it’s a “Do you like?” scale, where 4 people answered 1-Don’t like at all, 10 people answer 2-Don’t like and so on.
Taguchi design of experiments with Python
Could somebody share with me a source code in Python for the Taguchi design of experiments?