boot2pval: Bootstrap Testing
In ake0002/ForReal:

This function will allow us to view the p-value and to determine whether we should reject or fail to reject the null hypothesis

1	boot2pval(x1, x2, conf.level = 0.95, iter = 3000, mudiff = 0, test = "two")

`x1`	-sample 1
`x2`	-sample 2
`conf.level`	-desired confidence
`iter`	-iterations
`mudiff`	-difference in means of the samples
`test`	-which test to use

1	boot2pval(x1=x,x2=y)

ake0002/ForReal documentation built on Nov. 21, 2020, 9:11 a.m.

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