Just came across this very awesome website.
Did you know there were six kinds of wordclouds in R.
(giggles like a little boy)
Tweets about some given topic
Tweets of some given user (ex 1)
Tweets of some given user (ex 2)
This guy – the force is strong in him
G aston S anchez
Data Analysis + Visualization + Statistics + R = FUN
Currently, I’m a postdoc in Rasmus Nielsen’s Lab in the Center for Theoretical Evolutionary Genomics at the University of California, Berkeley. I’m also collaborating with the Biology Scholars Program (BSP) at UC Berkeley, and I am affiliated to the Program on Reproductive Health and the Environment (PRHE) at UC San Francisco. In my (scarce) free time outside the academic world, I often work on collaborative projects for marketing analytics, statistical consulting, and statistical advising in general. Like this: Like Loading...
Image via Wikipedia
Close to the launch of JMP9 with it’s R integration comes the announcement of JMP Genomics 5 released. The product brief is available here
http://jmp.com/software/genomics/pdf/103112_jmpg5_prodbrief.pdf and it has an interesting mix of features. If you want to try out the features you can see http://jmp.com/software/license.shtml
As per me, I snagged some “new”stuff in this release-
Perform enrichment analysis using functional
information from Ingenuity Pathways Analysis.+ New
bar chart track allows summarization of reads or intensities. New color map track displays heat plots of information for individual subjects.
Use a variety of continuous measures for summarization.
Using a common identifier, compare list membership for up tofive groups and display overlaps with
Venn diagrams. Filter or shade segments by mean intensity, with an optionto display segment mean intensity and set a reference valuefor shading.
Adjust intensities or counts for experimental samples using paired or grouped control samples.
DNA and RNA intensities for allele-specific expression. Standardize using a shifting factor and perform log2transformation after standardization.
Use kernel density information in loess and
quantile normalization. Depict partition tree information graphically for standard models with new Tree Viewer
Predictive modeling for survival analysis with Harrell’s assessment method and integration with Cross-Validation Model Comparison.
That’s right- that is incorporating the work of our favorite professor from
R Project himself- http://biostat.mc.vanderbilt.edu/wiki/Main/FrankHarrell
Apparently Prof Frank E was quite a
SAS coder himself (see http://biostat.mc.vanderbilt.edu/wiki/Main/SasMacros)
Back to JMP Genomics 5-
The JMP software platform provides:
• New integration capabilities let R users leverage JMP’s interactivegraphics to display analytic results.
• Tools for R programmers to build and package user interfaces that let them share customized R analytics with a broader audience.•
A new add-in infrastructure that simplifies the integration of external analytics into JMP.
+ For people in life sciences who like new stats software you can also download a trial version of
IPA here at http://www.ingenuity.com/products/IPA/Free-Trial-Software.html Like this: Like Loading...