In statistical significance testing the p-value is the probability of obtaining a test statistic at least as extreme as the one that was actually observed.
I want to perform a stepwise linear Regression using p-values as a selection criterion, e.g.: at each step dropping …
r statistics regression p-valueI want to get pvalues from a data set. I have not had any problems to use pnorm, but I …
r cluster-analysis p-valueI'm trying to calculate p-values of a f-statistic with R. The formula R uses in the lm() function is equal …
r distribution p-valueI'm running many regressions and am only interested in the effect on the coefficient and p-value of one particular variable. …
r glm p-valueThis is probably a simple question but I am trying to calculate the p-values for my features either using classifiers …
python scikit-learn p-valueSo, I've been spending some time looking for a way to get adjusted p-values (aka corrected p-values, q-values, FDR) in …
python statistics p-value q-valueI got this plot Using the code below library(dplyr) library(ggplot2) library(ggpmisc) df <- diamonds %>% dplyr::…
r ggplot2 p-valueI am performing multiple regressions on different columns in a query file. I've been tasked with extracting certain results from …
r linear-regression p-valueSo lets work through the example from ?t.test() We do a two-sample t-test on the data by: t.test(1:10, …
r p-value