It's not always easy getting the right size. The image is CC by Kristina Gill.
A vital part of statistics is producing nice plots, an area where R is outstanding. The graphical ablility of R...
307 search results for "sweave"
Exporting nice plots in R
A slightly different introduction to R, part IV
Now, after reading in data, making plots and organising commands with scripts and Sweave, we’re ready to do some numerical data analysis. If you’re following this introduction, you’ve probably been waiting for this moment, but I really think it’s a good idea to start with graphics and scripting before statistical calculations. We’ll use the silly 
Onepager Now with knitR
Since at some point I had trouble with a conflict between knitr and the latex package textpos, I used the lesser Sweave in Another Experiment with R and Sweave. I ran the Sweave2knitr command and discovered that textpos and knitr play well togeth...
Another Experiment with R and Sweave
The R package PApages is a great start towards addressing the very common problem of internal and external reporting in the money management industry. Advent's APX, Axys, and Black Diamond and the up and coming extremely well-connected and well-f...
Learning RStudio for R Statistical Computing
"Learning RStudio for R Statistical Computing" will teach you how to quickly and efficiently create and manage statistical analysis projects, import data, develop R scripts, and generate reports and graphics. R developers will learn about package development, coding principles, and … Continue reading →
A slightly different introduction to R, part III
I think you’ve noticed by now that a normal interactive R session is quite messy. If you don’t believe me, try playing around for a while and then give the history() command, which will show you the commands you’ve typed. If you’re anything like me, a lot of them are malformed attempts that generated some 
A slightly different introduction to R, part II
In part I, we looked at importing data into R and simple ways to manipulate data frames. Once we’ve gotten our data safely into R, the first thing we want to do is probably to make some plots. Below, we’ll make some simple plots of the made-up comb gnome data. If you want to play 
100 most read R posts in 2012 (stats from R-bloggers) – big data, visualization, data manipulation, and other languages
R version 3 scheduled for April
Ringing in the New Year, Peter Dalgaard announced yesterday on behalf of the entire R Core Team that the R language will graduate to Version 3 around April 1. This is only the third time that R has incremented its primary version number. Version 1.0.0 (released on February 29, 2000) was the first version deemed stable for production use....
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
