correlation
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easystats
:link: Methods for Correlation Analysis
I find the `multilevel` argument name confusing, and there have been several issues from users lately that have expressed similar confusion. Based on the name, I would expect a decomposition...
https://easystats.github.io/correlation/reference/display.easycormatrix.html
I'm not a fan of significance stars, but certainly in text output and plots, you should not use `***` for the self-correlations r(x,x)=1
Feature request from Twitter https://arxiv.org/abs/1909.10140
```r cor_boot(iris, "Sepal.Length", "Petal.Length") #> Parameter1 Parameter2 r se CI_low CI_high Method #> 1 Sepal.Length Petal.Length 0.8717538 0.01713286 0.8292761 0.8988949 pearson cor_boot(iris, "Sepal.Length", "Petal.Length", cluster = "Species") #> Parameter1 Parameter2...
``` r library(correlation) x [1] "names" "row.names" "coefficient_name" #> [4] "ci" "data" "class" #> [7] "modelframe" "n" "method" #> [10] "bayesian" "p_adjust" "partial" #> [13] "multilevel" "partial_bayesian" "bayesian_prior" #> [16]...
Once insight+DW hit cran, we should implement better selection tools in correlation https://github.com/easystats/correlation/blob/c7829ffad9c94a937c2845d35d194ae430ffd754/R/correlation.R#L303-L304
Dear authors, a student pointed out that the following uses of `correlation()` and `cor_test()` return different results. ``` set.seed(1337) data.frame( a = sample(1:5, 10, replace = T), b = factor(sample(c("s",...
It is unclear from the docs what is being corrected by the `correction` argument. --- Also, perhaps methods for p-value adjustment can be used in `cor_to_p`/`cor_to_ci`?
Hi, I have noticed that I get discrepancies in correlation coefficients if the compare the output from the partial correlation in cor_test to the output from pcor.test in ppcor. This...
