Hi,in these days I'm creating lots and lots of box plot with ggplot2.The look of them is really good and you can change every bit of code so that you can customize the plot completely.Here is the code I'm using with a test data file to try it:BoxPlot.z...
Hi,in these days I'm creating lots and lots of box plot with ggplot2.The look of them is really good and you can change every bit of code so that you can customize the plot completely.Here is the code I'm using with a test data file to try it:BoxPlot.z...
And as usual, I always want a longer data set, so after a little playing with R-Excel, we can extend our historical sources of bond returns to 1919. If nothing else, maybe you can find other uses for the Shiller Dataset in R. From TimelyPort...
The Atmospheric Science Data Center (ASDC) at NASA Langley Research Center offers several data sources. For example, it is possible to download a text file with the 22-year (July 1983 – June 2005) monthly and annual average of global horizontal irradiation. nasafile <- 'http://eosweb.larc.nasa.gov/sse/global/text/global_radiation' nasa <- read.table(file=nasafile, skip=13, header=TRUE) With this data, R and the 
A violin plot is a combination of a boxplot and a kernel density plot. Lattice includes the panel.violin function for this graphical tool. This example draws a violin and a boxplot together. First, let’s download some solar radiation data from the NASA webpage: nasafile <- 'http://eosweb.larc.nasa.gov/sse/global/text/global_radiation' nasa <- read.table(file=nasafile, skip=13, header=TRUE) Now, I plot a 
With this post, I am doing something I try very hard to avoid, especially when communicating to my clients, and that is blurring the line between investing and gambling. But after reading all of Reuven Brenner’s books and finishing Ralph Vince ...
Are MLB players better hitters now than they were 20 years ago? Revolution Analytics' Joseph Rickert uses R to take a look at the data, and offers an instructive lesson in checking your assumptions for statistical tests in the process -- Ed. Data are everywhere – but, even for simple things, I still seem to spend a too much...
My last four posts have dealt with boxplots and some useful variations on that theme. Just after I finished the series, Tal Galili, who maintains the R-bloggers website, pointed me to a variant I hadn’t seen before. It's called a bee...
In my last two posts I talked about Ordinary Least Squares, then extended this discussion to the multiple predictor case and briefly talked about some of the problems that may arise. These problems can include omitted variable bias, heteroskedasticity, non-normality, and multicollinearity. Most of these problems are relatively minor in practice and have easy fixes,...
In my last two posts I talked about Ordinary Least Squares, then extended this discussion to the multiple predictor case and briefly talked about some of the problems that may arise. These problems can include omitted variable bias, heteroskedasticity, non-normality, and multicollinearity. Most of these problems are relatively minor in practice and have easy fixes,...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
