similar to: NEW ONLINE R COURSE: Fundamentals of Using R

NEW SECTION BEGINS JUNE 1 (11AM-2PM ET) AND MAY 27 (6PM-9PM ET) The non-profit organization Information Institute ( http://www.information-institute.org) is offering a live, interactive, synchronous online course entitled Fundamentals of Using R. The registration cost for the 14-hour, 5 week course is $225 USD (student); $295 (faculty); and $325 (practitioner). All live, interactive class

The Information Institute (http://www.information-institute.org), a charitable, non-profit, educational and scientific organization, in conjunction with faculty from Virginia Commonwealth University (VCU), is offering live, interactive, synchronous online classes (one AM and one PM to reach all time zones) on the use of R for a variety of academic-research statistical analyses. The registration

The Georgia R School (http://georgia-r-school.org) is a non-profit educational organization. With faculty from Virginia Commonwealth University, we are conducting live, interactive, synchronous month-long online courses on PLS path modeling and R statistical software during October and November. All live courses are recorded (all audio and video) and the permanent recordings are also provided to

The following code produces a legend ("key") that mentions the unused levels of Block. library(MEMSS) xyplot(yield~nitro, subset=(Block=="I" | Block=="II"), data=Oats, group=Block, auto.key=T) and adding "drop.unused.levels=T" does not fix it. And in fact even the following does not solve the problem: xyplot(yield~nitro,

Suppose we have some glm object such as: myglm <- glm( y ~ x, data=DAT) Is there an elegant way--or the "right way" within the R way of thinking--to obtain the names of the response variable, the predictor variables, and the dataset, as character strings? For instance, suppose the "right way" was to use the (currently fictitious) functions theresponse(), thepredictors(),

When we call a lattice function such as xyplot, to what extent does the "data" designation cause the function to look inside the "data" for variables? In the examples below, the "subset" argument understands that "Variety" is a variable in the data. But the "scales" argument does not understand that "nitro" is a variable in the data.

I am trying to use lme to fit a mixed effects model to get the same results as when using the following SAS code: proc mixed; class refseqid probeid probeno end; model expression=end logpgc / ddfm=satterth; random probeno probeid / subject=refseqid type=cs; lsmeans end / diff cl; run; There are 3 genes (refseqid) which is the large grouping factor, with 2 probeids nested within each refseqid,

Is there a simple way to specify a theme or trellis (lattice) parameters so that, in a multipanel (conditioned) plot, there is no color and in the strips there is no shading? This is the effect achieved on page 124 of Deepayan Sarkar's "Lattice" (figure 7.2). I managed to trick lattice into making a grayscale plot on my interactive display as follows: > graphics.off() >

Suppose we wish to achieve the following three aims: (1) Control the aspect ratio of our plot (i.e., tweak this till it looks great) (2) Save the plot as a PDF with zero or minimal white space outside it. (3) Preserve this in code, so that in the future the exact same plot can be reproduced by simply sourcing the code. I can almost achieve (1) and (2) on my MacBook Pro by pointing and clicking,

Below is an example of a problem I encounter repeatedly when I write functions. A call works at the command line, but it does not work inside a function, even when I have made sure that all required variables are available within the function. The only way I know to solve it is to make the required variable global, which of course is dangerous. What is the elegant or appropriate way to solve

I am trying to use lme to fit a mixed effects model to get the same results as when using the following SAS code: proc mixed; class refseqid probeid probeno end; model expression=end logpgc / ddfm=satterth; random probeno probeid / subject=refseqid type=cs; lsmeans end / diff cl; run; There are 3 genes (refseqid) which is the large grouping factor, with 2 probeids nested within each refseqid,

Consider all the text that one sees on the console during an R session. Is there a way, within R, to make all this text--both the "output" and the "messages"--automatically get copied to a single text file, in addition to seeing it on the console? If I remember to save the console to a file at the end of my R session, that does it. But (1) That requires pointing and

The .Renviron and .First functions do not seem to work the same way on a Mac OS 10.4 as on a Windows XP machine. From working in Windows I am used to creating a new directory for each data analysis project. In the new directory I place First, an .Renviron file consisting of the following text: R_HISTFILE="history.txt" R_HISTSIZE=1000000 Second, an .RData file containing a .First

Often it is useful to keep a "codebook" to document the contents of a dataset. (By "dataset" I mean a rectangular structure such as a dataframe.) The codebook has as many rows as the dataset has columns (variables, fields). The columns (fields) of the codebook may include: ? variable name ? type (character, factor, integer, etc) ? variable label

We've added 2 additional courses to our April Schedule: (++) R/S Fundamentals and Programming Techniques *** San Francisco / April 24-25, 2008 *** *** New York City / April 28-29, 2008 *** *** Seattle / April 21-22 Regards - Sue > -------- Original Message -------- > Subject: [BioC] XLSolutions 9 Courses: Upcoming March-April 2008 R/S+ > Course Schedule by XLSolutions

XLSolutions Corporation (www.xlsolutions-corp.com) is proud to announce 2-day "R/S-plus Fundamentals and Programming Techniques" in San Francisco: www.xlsolutions-corp.com/Rfund.htm **** Raleigh, April 3-4 **** Miami, April 10-11 **** Houston, April 13-14 **** Boston, April 20-21 **** Baltimore,

XLSolutions Corporation (www.xlsolutions-corp.com) is proud to announce a 2-day course: "R/S-plus Fundamentals and Programming Techniques". ****Boston, MA-----------------> March 13-14 Course Description: This two-day R/S-plus course focuses on a broad spectrum of topics, from reading raw data to a comparison of R and S. We will learn the essentials of data manipulation,

XLSolutions Corporation (www.xlsolutions-corp.com) is pleased to announce a three-day R course, "R Fundamentals and Programming Techniques," presented by Professor Doug Bates. This special three-day R course is designed for those who want to learn to write R programs to accomplish typical data-processing tasks, including creating graphics. The course will give beginners a strong

I want to put the "plus or minus" symbol into a character variable, so that this can be turned into a factor and be displayed in the "strip" of a faceted ggplot2 plot. A very nice solution, thanks to Professor Ripley's post of Nov 16, 2008; 3:13pm, visible at http://r.789695.n4.nabble.com/Symbols-to-use-in-text-td874239.html and subsequently

XLSolutions Corporation is proud to announce our March 2007 R/S: Fundamentals and Programming Techniques - in Princeton March 1-2, 2007 : http://www.xlsolutions-corp.com/Rfund.htm This two-day beginner to intermediate R/S-plus course focuses on a broad spectrum of topics, from reading raw data to a comparison of R and S. We will learn the essentials of data manipulation, graphical