I'm analyzing a dataset on student performance from this site called "student-mat.csv", and I'm working on an ordinal logistic regression model. I want to use the vglm() function from the ...

I'm using the emmeans package with a negative-binomial model implemented using the glmmTMB package. I'm trying to bias adjust my backtransformed emmeans per the workflow illustrated here: https://cran....

I need to test my web site having 20 user roles and 40 permissions across different web pages, which Orthogonal array will be the closest to consider for this scenario i.e. two factors first with 20 ...

Is there a way to apply a p-value adjustment on all p-values in the extra column? For by incorporating the p.adjust function somewhere? I am assuming that the pvalue function from the vignette is ...

I create this plot in R: I want to do 2 things: Add more factor levels to the x axis (intervals of 12hrs to match other data), I try with scale_x_continuous(breaks = seq(0, 72, by = 12), labels = ...

Let's say we have a large dataset with several samples over time. I'm looking for an automated way to find correlations over a specific time period. For example, in cycles, we might observe that when ...

I have the following issue: I want to compare thermal pictures (data is present as a big Matrix/ each Pixel one value) in python and decide weather they are different. What statistical approaches are ...

I have two distributions with a size of ~120 and ~86.000 elements. I would like to check wether the mean value of the two distributions are significantly different. I found, that I can use a Welch’s t-...

I am a bit confused with the definition of the permutation_test function provided by scipy. the following is what I wrote to calculate the p and null distribution x = disease['Theta'] y = nodisease['...

I need to make Bland-Altman plots, but I cannot find a good R or Python package for this. So far, I've found a single function in Statsmodels and another one in a package called Pingouin. But neither ...

There is a set of objects to be classified into n classes. Each class has its own coefficient. For example: class coefficient 1 0.5 2 0.7 N 0.4 I arranged ...

I have a group of 30 participants who did a test for three times. Each time, The independent variable was changed and the participants reported their answers (dependent variable). The independent ...

I am calculating BLEU score between 2 sentences which seem very similar to me but I am getting BLEU score as very low. Is it supposed to happen? prediction = "I am ABC." reference = "I'...

I have attached my code with the problem that I am having issues on below: library(dplyr) library(perm) data(iris) # Create subset to only see setosa and virginica species iris_subset <- iris %>...

I have a dataset of logIC50 values(say A) and another dataset of categorical clinical drug response (say B). There are mainly two important observations in B - sensitive and resistant. But there are ...