Correlograms

Using Correlograms visualize the data in correlation matrics. 

>Install.Packages(corrgram)

>library(corrgram)

>corrgram(x, order = , panel=, lower.panel=, upper.panel=, text.panel=, diag.panel=) 

LinkedIn Maps

R: A Simple Way to Calculate Sample Size for A/B Testing

 

power.prop.test(n = NULL, p1 = NULL, p2 = NULL, sig.level = 0.05,
                power = NULL,
                alternative = c("two.sided", "one.sided"),
                strict = FALSE)


n = A number of sample size
p1 = A conversion rate of group 1
p2 = A conversion rate of group 2
sig.level = The significant level
power = 1-type II error = power of the test
alternative = The hypothesis of the test


For example ...

> power.prop.test(p1 = .50, p2 = .75, power = .90)

     Two-sample comparison of proportions power calculation

              n = 76.70693
             p1 = 0.5
             p2 = 0.75
      sig.level = 0.05
          power = 0.9
    alternative = two.sided

 NOTE: n is number in *each* group