So I am creating density plot for Sepal.Length for two species of the iris-dataset. The graph looks like this: As you can see, I added two measures of central tendency to the graph (Median and Mean)....

When I use plt.show the plot only shows the PCA lines and not a scatterplot of the first 2 iris features import numpy as np import matplotlib.pylab as plt from sklearn import decomposition x = np.loa...

I have the following code that selects 4 rows of iris 1000x, and takes the mean of each 4 row sample: library(dplyr) iris<- iris storage<- list() counter<- 0 for (i in 1:1000) { # sampl...

I am trying to get pairwise comparisons of effect sizes. I can do this with coh_d, however, it gives me repeat comparisons. For example, in the following code, setosa vs. versicolor is the same as ver...