This is a little digression from Chapter 5 of Using R for Introductory Statistics that led me to the hypergeometric distribution.
Question 5.13 A sample of 100 people is drawn from a population of 600,000. If it is known that 40% of the population has a specific attribute, what is the probability that 35 or...
This is a little digression from Chapter 5 of Using R for Introductory Statistics that led me to the hypergeometric distribution. Question 5.13 A sample of 100 people is drawn from a population of 600,000. If it is known that 40% of the population h...
In Chapter 5 of Using R for Introductory Statistics we get a brief introduction to probability and, as part of that, a few common probability distributions. Specifically, the normal, binomial, exponential and lognormal distributions make an appearance....
In Chapter 5 of Using R for Introductory Statistics we get a brief introduction to probability and, as part of that, a few common probability distributions. Specifically, the normal, binomial, exponential and lognormal distributions make an appearance.
For each distribution, R provides four functions whose names start with the letters d, p, q or r followed by...
We programmers are told that reading code is a good idea. It may be good for you, but it's hard work. Jeremy Ashkenas has come up with a simple tool that makes it easier: docco. Ashkenas is also behind underscore.js and coffeescript, a dialect of ja...
We programmers are told that reading code is a good idea. It may be good for you, but it's hard work. Jeremy Ashkenas has come up with a simple tool that makes it easier: docco. Ashkenas is also behind underscore.js and coffeescript, a dialect of ja...
Any good stats book has to cover a bit of basic probability. That's the purpose of Chapter 5 of Using R for Introductory Statistics, starting with a few definitions:
Any good stats book has to cover a bit of basic probability. That's the purpose of Chapter 5 of Using R for Introductory Statistics, starting with a few definitions: Random variable A random number drawn from a population. A random variable is ...
Several R functions take model formulae as parameters. Model formulae are symbolic expressions. They define a relationship between variables rather than an arithmetic expression to be evaluated immediately. Model formulae are defined with the tilde ope...
Several R functions take model formulae as parameters. Model formulae are symbolic expressions. They define a relationship between variables rather than an arithmetic expression to be evaluated immediately. Model formulae are defined with the tilde ope...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
