Adam Laiacano

I sent out a tweet last night asking if there are any good data libraries for Scala. The next morning, Saddle gets released. I’ve heard it described as “Pandas for Scala,” which is great because nothing beats having data frames ported to a new language.

jeffreyhorner:

R Flavored Markdown is a plain-text formatting syntax for creating documents that can be rendered to HTML. In fact it’s like HTML, but simpler. R Flavored Markdown is a variant of original Markdown with a few additional features

This is a really exciting step towards reproducible research. The markdown code below creates this output:

# Normal Distributions Functions in R

Density, distribution function, quantile function and random
generation for the normal distribution with mean equal to ‘mean’
and standard deviation equal to ‘sd’.

Use them this way:

```{r}
     dnorm(x, mean = 0, sd = 1, log = FALSE)
     pnorm(q, mean = 0, sd = 1, lower.tail = TRUE, log.p = FALSE)
     qnorm(p, mean = 0, sd = 1, lower.tail = TRUE, log.p = FALSE)
     rnorm(n, mean = 0, sd = 1)
```

The math behind the code:

$$latex  
f(x) = \frac{1}{(\sigma\sqrt{2 \pi})} e^{-(\frac{(x - \mu)^2}{2 \sigma^2})}
$$

There is still room at the NY Open Statistical Meetup tomorrow to hear Jeff and others talk about creating dynamic reports in R.

This is a pretty interesting site with 90 2-minute R tutorial videos. I’ve only watched a couple but the narration is pretty high-octane as far as programming tutorial videos go.

Some examples:

• 013 how to read spss, stata, and sas files into r
• 029 how to run analyses across multiple categories of a data table with the tapply and aggregate functions in r
• 083 how to plot residuals from a regression in r (assuming you know some fancy statistics)
• 085 how to export or save a plot in r
• 089 how to run a block of commands at start-up to do stuff like setting your CRAN mirror permanently with r