Monthly Archives: April 2012

Quick off the mark

April 9, 2012
By
Quick off the mark

With none of the top teams overimpressing this season, Alan Pardew’s performance with Newcastle – especially in the transfer market -is likely to see him receive coniderable recognition in the Manager of the Year award Recent acquisition, Papiss Cissé, has proved particularly fruitful with a brace against Swansea last time out taking him to nine

Read more »

R package ETLUtils @ CRAN – easy loading into ffdf

The R package ETLUtils is now available for download at it's CRAN repository.It's a package which facilitates the ETL in situations where you need to interact with SQL databases in a corporate environment. Basically it currently focusses on t...

Read more »

Correlation Matrix (Constituents)

April 9, 2012
By
Correlation Matrix (Constituents)

It is important to understand as better as possible our sample set before to develop the regression. Continuing with the “Y” matrix (constituent’s matrix) we have to observe the correlation matrix.In the R Graph Gallery, we can get the code to dr...

Read more »

Comparing Julia and R’s Vocabularies

April 9, 2012
By

While exploring the Julia manual recently, I realized that it might be helpful to put the basic vocabularies of Julia and R side-by-side for easy comparison. So I took Hadley Wickham’s R Vocabulary section from the book he’s putting together on the devtools wiki, put all of the functions Hadley listed into a CSV file,

Read more »

Example 9.26: More circular plotting

April 9, 2012
By
Example 9.26: More circular plotting

SAS's Rick Wicklin showed a simple loess smoother for the temperature data we showed here. Then he came back with a better approach that does away with edge effects. Rick's smoothing was calculated and plotted on a cartesian plane. In this entry we'll explore another option or two...

Read more »

Ichimoku Clouds R Code Trading

April 9, 2012
By
Ichimoku Clouds R Code Trading

Quantitative Finance, Technical Trading & Analysis. Fotis Papailias, Dimitrios Thomakos Fotis Quantitative Finance & Technical Trading Ichimoku Clouds R Code Trading Download the full program here Here you can find an R Code for Ichimoku Clouds analysis and trading. Have fun!   # The function for computing the Ichimoku cloud ichimoku <- function(data,pars) { # REMEMBER THAT THE DATA...

Read more »

Looking to the difference spectrum

April 9, 2012
By
Looking to the difference spectrum

From the previous post, we can make the difference spectrum (once the samples are sorted by moisture) between the sample with the lowest moisture value (position 1), from the sample with the highest moisture value (position 66). This spectra will help ...

Read more »

Eclipse + Rcpp + RInside = Magic

April 8, 2012
By
Eclipse + Rcpp + RInside = Magic

  I've been doing R/Java development for some time, creating packages both large and small with this tool chain. I have used Eclipse as my package development environment almost exclusively, but I didn't realize how much I relied on the IDE before I had to do some serious R/C++ package development. My first Rcpp package (wordcloud)

Read more »

Sampling and the Analysis of Big Data

April 8, 2012
By
Sampling and the Analysis of Big Data

After my last post, I came across a few articles supporting the opinion that if you have a good reason to take random samples from a “big” dataset, you’re not committing some kind of sin: Big Data Blasphemy: Why Sample? … Continue reading →

Read more »

The lm() function with categorical predictors

April 8, 2012
By
The lm() function with categorical predictors

What's with those estimates?By Ben OgorekIn R, categorical variables can be added to a regression using the lm() function without a hint of extra work. But have you ever look at the resulting estimates and wondered exactly what they were?First, let's define a data set.set.seed(12255)n = 30sigma = 2.0AOV.df <- data.frame(category = c(rep("category1", n)     ...

Read more »

Sponsors

Mango solutions



RStudio homepage



Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training



http://www.eoda.de









ODSC

CRC R books series











Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)