# rwebapps/markdownapp

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 OpenCPU Markdown App
The Normal Distribution ======================= The normal (or Gaussian) distribution is defined as follows: $$latex f(x;\mu,\sigma^2) = \frac{1}{\sigma\sqrt{2\pi}} e^{ -\frac{1}{2}\left(\frac{x-\mu}{\sigma}\right)^2 }$$ To generate random draws from a normal distribution we use the **rnorm** function: {r block1} output <- rnorm(1000, 100, 15);  The normal distribution has the typical bell shape: {r block2, fig.width=8, fig.height=5} library(ggplot2) qplot(output)  ## Kernel density estimation We can perform density estimation on the sample: {r block3, fig.width=8, fig.height=5} plot(density(output))  ## Carl Friedrich Gauß This little guy had something to do with it !['Gauss'](https://goo.gl/eXN77h)